Datasets:

rahul77

/

PubTable_updated

like 0

<table border="1" class="dataframe"> <tr> <th> Characteristic </th> <th> Cases (n = 1125) </th> <th> Controls (n = 1197) </th> <th> P-valuea </th> </tr> <tr> <td> Demographic factors </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Age (years [mean ± SD]) </td> <td> 47.63 ± 8.00 </td> <td> 47.20 ± 8.78 </td> <td> 0.217 </td> </tr> <tr> <td> Education, lower than middle school (%) </td> <td> 12.27 </td> <td> 14.79 </td> <td> 0.124 </td> </tr> <tr> <td> Major risk factors </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Breast cancer in first-degree relatives (%) </td> <td> 3.38 </td> <td> 2.26 </td> <td> 0.101 </td> </tr> <tr> <td> Ever had breast fibroadenoma (%) </td> <td> 9.78 </td> <td> 5.26 </td> <td> &lt; 0.001 </td> </tr> <tr> <td> Age at menarche (years [mean ± SD]) </td> <td> 14.41 ± 1.64 </td> <td> 14.71 ± 1.73 </td> <td> 0.004 </td> </tr> <tr> <td> Age at first live birthb (years [mean ± SD]) </td> <td> 26.82 ± 4.07 </td> <td> 26.17 ± 3.83 </td> <td> &lt; 0.001 </td> </tr> <tr> <td> Age at menopausec (years [mean ± SD]) </td> <td> 48.17 ± 4.65 </td> <td> 47.46 ± 4.95 </td> <td> 0.036 </td> </tr> <tr> <td> Physically active in past 10 years (%) </td> <td> 19.40 </td> <td> 26.00 </td> <td> &lt; 0.001 </td> </tr> <tr> <td> Body mass index (mean ± SD) </td> <td> 23.54 ± 3.39 </td> <td> 23.25 ± 3.45 </td> <td> 0.047 </td> </tr> <tr> <td> Waist-to-hip ratio (mean ± SD) </td> <td> 0.81 ± 0.06 </td> <td> 0.80 ± 0.06 </td> <td> 0.004 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Stratified variable (by median) </th> <th colspan="6"> MnSOD genotypes </th> </tr> <tr> <th> </th> <th colspan="2"> Val/Val </th> <th colspan="2"> Val/Ala </th> <th colspan="2"> Ala/Ala </th> </tr> <tr> <th> </th> <th> na </th> <th> ORb (95% CI) </th> <th> na </th> <th> ORb (95% CI) </th> <th> na </th> <th> ORb (95% CI) </th> </tr> <tr> <td> </td> <td> </td> <td colspan="2"> Premenopausal women </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> BMI </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> ≤ Median </td> <td> 250/275 </td> <td> 1.0 (ref.) </td> <td> 73/99 </td> <td> 0.9 (0.6–1.2) </td> <td> 8/7 </td> <td> 1.3 (0.5–3.7) </td> </tr> <tr> <td> &gt; Median </td> <td> 300/288 </td> <td> 1.0 (ref.) </td> <td> 106/89 </td> <td> 1.1 (0.8–1.6) </td> <td> 13/5 </td> <td> 2.5 (0.9–7.0) </td> </tr> <tr> <td> Years of menstruationc </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> ≤ Median </td> <td> 203/286 </td> <td> 1.0 (ref.) </td> <td> 77/91 </td> <td> 1.2 (0.8–1.7) </td> <td> 8/8 </td> <td> 1.4 (0.5–3.7) </td> </tr> <tr> <td> &gt; Median </td> <td> 347/277 </td> <td> 1.0 (ref.) </td> <td> 102/97 </td> <td> 0.8 (0.6–1.2) </td> <td> 13/4 </td> <td> 2.6 (0.8–8.0) </td> </tr> <tr> <td> </td> <td> </td> <td colspan="2"> Postmenopausal women </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> BMI </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> ≤ Median </td> <td> 126/156 </td> <td> 1.0 (ref.) </td> <td> 39/52 </td> <td> 1.0 (0.6–1.6) </td> <td> 4/7 </td> <td> 0.7 (0.2–2.5) </td> </tr> <tr> <td> &gt; Median </td> <td> 152/161 </td> <td> 1.0 (ref.) </td> <td> 46/50 </td> <td> 1.0 (0.6–1.6) </td> <td> 3/4 </td> <td> 0.8 (0.2–3.7) </td> </tr> <tr> <td> Years of menstruationc </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> ≤ Median </td> <td> 128/172 </td> <td> 1.0 (ref.) </td> <td> 44/54 </td> <td> 1.1 (0.7–1.8) </td> <td> 2/6 </td> <td> 0.4 (0.1–2.2) </td> </tr> <tr> <td> &gt; Median </td> <td> 150/145 </td> <td> 1.0 (ref.) </td> <td> 41/48 </td> <td> 0.8 (0.5–1.3) </td> <td> 5/5 </td> <td> 1.0 (0.3–3.5) </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Protein </th> <th> Percentage </th> </tr> <tr> <td> PCNA </td> <td> 15.93 ± 4.38 </td> </tr> <tr> <td> hMLH1 </td> <td> 0.25 ± 1.11 </td> </tr> <tr> <td rowspan="2"> hPMS1 in </td> <td> 0.6 ± 0.99 </td> </tr> <tr> <td> 0 ± 0 </td> </tr> <tr> <td> hMSH2 </td> <td> 72.7 ± 20.33 </td> </tr> <tr> <td> TP53 </td> <td> 0 ± 0 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Group </th> <th> RNA source </th> <th> Treatment </th> <th> Days after injection </th> <th> No. of animals </th> </tr> <tr> <td> AN </td> <td> Naive control (absolute negative) BALB/cSCID paw </td> <td> None </td> <td> N/A </td> <td> 3 </td> </tr> <tr> <td> PA </td> <td> Normal paw from arthritic BALB/cSCID mouse </td> <td> Cell transfer </td> <td> 6 </td> <td> 3 </td> </tr> <tr> <td> AA </td> <td> Acute arthritic paw of BALB/cSCID mouse </td> <td> Cell transfer </td> <td> 6 </td> <td> 5 </td> </tr> <tr> <td> CA </td> <td> Chronically arthritic paw of BALB/cSCID mouse </td> <td> Cell transfer </td> <td> 12–14 </td> <td> 3 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="2"> Mean fluorescence of CXCR3a </th> <th> </th> </tr> <tr> <th> Patient no. </th> <th> In PB cells </th> <th> In SF cells </th> <th> D/sb </th> </tr> <tr> <td> 1 </td> <td> 35.79 </td> <td> 55.8 </td> <td> 36.5 </td> </tr> <tr> <td> 2 </td> <td> 23.02 </td> <td> 77.13 </td> <td> 36 </td> </tr> <tr> <td> 3 </td> <td> 20.27 </td> <td> 48.88 </td> <td> 22.4 </td> </tr> <tr> <td> 4 </td> <td> 15.84 </td> <td> 27.75 </td> <td> 34 </td> </tr> <tr> <td> 5 </td> <td> 16.44 </td> <td> 20.59 </td> <td> 20.2 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Course </th> <th> No. of patients </th> <th> Age (years) </th> <th> Disease duration (years) </th> <th> No. of joints with active/ limited range of motion </th> <th> PGI </th> <th> ESR (mm/h) </th> <th> Treatment; n </th> </tr> <tr> <td rowspan="4"> Polyarticular </td> <td> 12 </td> <td> 11.5 (4.3–14.3) </td> <td> 3.4 (0.5–1.2) </td> <td> 5.3 (1–13)/18.3 (1–22) </td> <td> 7.8 (5–10) </td> <td> 78 (24–137) </td> <td> NSAID, MTX; 8 </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> NSAID, CS, MTX; 2 </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> NSAID, CS; 1 </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> NSAID alone; 1 </td> </tr> <tr> <td rowspan="3"> Oligoarticular </td> <td> 16 </td> <td> 7.5 (2.1–15.9) </td> <td> 2.4 (0.3–14) </td> <td> 1.8 (1–4)/1.9 (1–4) </td> <td> 6.9 (5–10) </td> <td> 31.5 (5–65) </td> <td> NSAID alone; 11 </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> NSAID, MTX; 2 </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> Nil; 3 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Patient no. </th> <th> Age (year) </th> <th> Form </th> <th> Pattern </th> <th> CD3 </th> <th colspan="3"> CCR7 </th> <th colspan="3"> CXCR3 </th> <th colspan="3"> CCR5 </th> </tr> <tr> <th> </th> <th> </th> <th> </th> <th> </th> <th> </th> <th> Lining </th> <th> Sublining </th> <th> Aggregates </th> <th> Lining </th> <th> Sublining </th> <th> Aggregates </th> <th> Lining </th> <th> Sublining </th> <th> Aggregates </th> </tr> <tr> <td> 1 </td> <td> 14 </td> <td> Oligo per. </td> <td> Diffuse </td> <td> +++ </td> <td> + </td> <td> +++ </td> <td> NP </td> <td> +++ </td> <td> +++ </td> <td> NP </td> <td> +++ </td> <td> ++ </td> <td> NP </td> </tr> <tr> <td> 2 </td> <td> 19 </td> <td> Poly RF- </td> <td> Diffuse </td> <td> + </td> <td> - </td> <td> ++ </td> <td> NP </td> <td> + </td> <td> +++ </td> <td> NP </td> <td> + </td> <td> - </td> <td> NP </td> </tr> <tr> <td> 3 </td> <td> 10 </td> <td> Oligo per. </td> <td> T-B </td> <td> ++ </td> <td> - </td> <td> + </td> <td> ++ </td> <td> + </td> <td> ++ </td> <td> ++ </td> <td> ++ </td> <td> + </td> <td> - </td> </tr> <tr> <td> 4 </td> <td> 12 </td> <td> Oligo ext. </td> <td> T-B </td> <td> +++ </td> <td> ++ </td> <td> +++ </td> <td> +++ </td> <td> ++ </td> <td> +++ </td> <td> +++ </td> <td> ++ </td> <td> + </td> <td> ++ </td> </tr> <tr> <td> 5 </td> <td> 7 </td> <td> Poly RF- </td> <td> T-B </td> <td> ++ </td> <td> - </td> <td> - </td> <td> + </td> <td> ++ </td> <td> +++ </td> <td> +++ </td> <td> +++ </td> <td> + </td> <td> + </td> </tr> <tr> <td> 6 </td> <td> 15 </td> <td> Poly RF- </td> <td> GC </td> <td> +++ </td> <td> - </td> <td> + </td> <td> ++ </td> <td> +++ </td> <td> +++ </td> <td> +++ </td> <td> +++ </td> <td> + </td> <td> - </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> </th> <th> </th> <th> </th> <th colspan="2"> 100 × CD4+CD25+/CD4+ (N) </th> </tr> <tr> <th> Treatment </th> <th> Expt no. </th> <th> Organ </th> <th> IFN-γR KO </th> <th> WT </th> </tr> <tr> <td rowspan="6"> Naive </td> <td> 1 </td> <td> Thymus </td> <td> 3.2 ± 0.6 (5) </td> <td> 2.2 ± 0.7 (5) </td> </tr> <tr> <td> </td> <td> Spleen </td> <td> 10.1 ± 0.9 (3) * </td> <td> 7.4 ± 0.2 (3) </td> </tr> <tr> <td> </td> <td> Lymph nodes </td> <td> 6.9 ± 1.1 (5) </td> <td> 5.1 ± 1.1 (5) </td> </tr> <tr> <td> 2 </td> <td> Spleen </td> <td> 14.4 (1) </td> <td> 9.9 (1) </td> </tr> <tr> <td> </td> <td> Lymph nodes </td> <td> 9.1 ± 0.9 (4) </td> <td> 6.6 ± 0.7 (4) </td> </tr> <tr> <td> 3 </td> <td> Lymph nodes </td> <td> 11.2 (1) </td> <td> 7.0 (1) </td> </tr> <tr> <td rowspan="6"> CIA </td> <td> 4 </td> <td> Thymus </td> <td> 3.5 ± 0.9 (3) </td> <td> 4.0 ± 1.6 (3) </td> </tr> <tr> <td> </td> <td> Spleen </td> <td> 11.0 ± 1.3 (2) </td> <td> 7.9 ± 0.7 (2) </td> </tr> <tr> <td> </td> <td> Lymph nodes </td> <td> 10.2 ± 0.8 (6) </td> <td> 7.7 ± 0.6 (6) </td> </tr> <tr> <td> 5 </td> <td> Spleen </td> <td> 12.1 ± 2.9 (3) </td> <td> 9.2 ± 0.8 (3) </td> </tr> <tr> <td> </td> <td> Lymph nodes </td> <td> 12.9 ± 1.4 (4) </td> <td> 10.3 ± 1.1 (4) </td> </tr> <tr> <td> 6 </td> <td> Lymph nodes </td> <td> 13.4 ± 0.4 (4) * </td> <td> 9.2 ± 0.7 (4) </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th rowspan="2"> SAGE library </th> <th rowspan="2"> Total testis TT 1+2 </th> <th rowspan="2"> Adult testis somatic cells ATSC </th> </tr> <tr> </tr> <tr> <td> Total tags </td> <td> 76 854 </td> <td> 81 478 </td> </tr> <tr> <td> Unique tags </td> <td> 24 529 </td> <td> 22 809 </td> </tr> <tr> <td> Unique tags with count &gt; 1 </td> <td> 7 481 </td> <td> 7 435 </td> </tr> <tr> <td> Proportions of unique tags with count &gt; 1 </td> <td> </td> <td> </td> </tr> <tr> <td> % of total tags </td> <td> 77.8 </td> <td> 81.1 </td> </tr> <tr> <td> % of unique tags </td> <td> 30.5 </td> <td> 32.6 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Predicted </th> <th> Observed </th> <th> N of observations </th> </tr> <tr> <td> 0.001 </td> <td> 0.001 </td> <td> 1116 </td> </tr> <tr> <td> 0.010 </td> <td> 0.007 </td> <td> 2621 </td> </tr> <tr> <td> 0.020 </td> <td> 0.017 </td> <td> 2478 </td> </tr> <tr> <td> 0.030 </td> <td> 0.024 </td> <td> 2309 </td> </tr> <tr> <td> 0.040 </td> <td> 0.033 </td> <td> 2043 </td> </tr> <tr> <td> 0.050 </td> <td> 0.042 </td> <td> 1789 </td> </tr> <tr> <td> 0.060 </td> <td> 0.051 </td> <td> 1450 </td> </tr> <tr> <td> 0.070 </td> <td> 0.062 </td> <td> 1113 </td> </tr> <tr> <td> 0.080 </td> <td> 0.069 </td> <td> 835 </td> </tr> <tr> <td> 0.090 </td> <td> 0.076 </td> <td> 595 </td> </tr> <tr> <td> 0.099 </td> <td> 0.081 </td> <td> 459 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Level of Evidence </th> <th> Preventive Manoeuvre </th> </tr> <tr> <td rowspan="8"> AΩ &amp; B¥-categories: (Appropriate) </td> <td> 1. Folic acid for primary prevention of neural tube defects </td> </tr> <tr> <td> 2. Smoking cessation and nicotine replacement </td> </tr> <tr> <td> 3. Treatment for Hypertension </td> </tr> <tr> <td> 4. Mammography and exam in women over 50 </td> </tr> <tr> <td> 5. STD screening for high risk groups </td> </tr> <tr> <td> 6. Papanicolaou smears for sexually active women </td> </tr> <tr> <td> 7. Influenza vaccination to patients 65 and older </td> </tr> <tr> <td> 8. Blood pressure measurement for patients 21 to 64 years of age </td> </tr> <tr> <td rowspan="5"> Dψ- category: (Inappropriate) </td> <td> 1. Proteinuria screening for general population </td> </tr> <tr> <td> 2. Blood glucose for the general population </td> </tr> <tr> <td> 3. Prostate-specific antigen testing for men over 50 </td> </tr> <tr> <td> 4. Chest radiography </td> </tr> <tr> <td> 5. Mammography in women under 50 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Measure </th> <th> Intervention Group (N = 22) </th> <th> Control Group (N = 23) </th> <th> Significance (P value) </th> </tr> <tr> <td> Percentage of Group Practices </td> <td> 77.3% </td> <td> 60.9% </td> <td> .34 </td> </tr> <tr> <td> Percentage Teaching Affiliated </td> <td> 54.5% </td> <td> 52.2% </td> <td> 1.00 </td> </tr> <tr> <td> Percentage in communities greater than 50,000 </td> <td> 86.4% </td> <td> 65.2% </td> <td> .17 </td> </tr> <tr> <td> Mean number of physicians in group practices </td> <td> 2.91 </td> <td> 2.70 </td> <td> .71 </td> </tr> <tr> <td> Mean number of registered nurses in practices </td> <td> 1.16 </td> <td> 1.64 </td> <td> .48 </td> </tr> <tr> <td> Mean year of graduation from medical school </td> <td> 1975 </td> <td> 1975 </td> <td> .92 </td> </tr> <tr> <td> Mean proportion of female physicians </td> <td> 12.6 </td> <td> 20.4 </td> <td> .37 </td> </tr> <tr> <td> Mean roster size </td> <td> 4317 </td> <td> 3874 </td> <td> .55 </td> </tr> <tr> <td> Mean number of patients seen per day </td> <td> 34.4 </td> <td> 33.0 </td> <td> .59 </td> </tr> <tr> <td> Percentage of female patients served </td> <td> 53.4 </td> <td> 53.8 </td> <td> .89 </td> </tr> <tr> <td> Mean age of patients served </td> <td> 46.4 </td> <td> 46.8 </td> <td> .87 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Variable </th> <th> Value and Rangea </th> <th> Source </th> </tr> <tr> <td> A &amp; B Manœuvres </td> <td> </td> <td> </td> </tr> <tr> <td> Folic Acid </td> <td> </td> <td> </td> </tr> <tr> <td> Difference in no. of eligible patients counseled </td> <td> 1495 (854, 2136) </td> <td> (36) </td> </tr> <tr> <td> Probability of reducing neural tube defects </td> <td> .00058 </td> <td> (55) </td> </tr> <tr> <td> Life-time treatment costs of Spina Bifida </td> <td> $201,822b </td> <td> (51) </td> </tr> <tr> <td> Smoking Cessation Counselling/NRT </td> <td> </td> <td> </td> </tr> <tr> <td> Difference in no. of eligible patients counseled </td> <td> 253 (-1072, 1577) </td> <td> (36) </td> </tr> <tr> <td> Efficacy of NRT </td> <td> .06 </td> <td> (3) </td> </tr> <tr> <td> Incidence of lung cancer in smokers </td> <td> .0024 </td> <td> (48) </td> </tr> <tr> <td> Treatment costs for lung cancer </td> <td> $7,074 </td> <td> (56) </td> </tr> <tr> <td> Mammography 50 to 69 years of age </td> <td> </td> <td> </td> </tr> <tr> <td> Difference in no. of eligible women screened </td> <td> 1513 (505, 2521) </td> <td> (36) </td> </tr> <tr> <td> Incidence of breast cancer </td> <td> .003165 </td> <td> (42) </td> </tr> <tr> <td> Cost of a mammogram </td> <td> $76.54 </td> <td> (57) </td> </tr> <tr> <td> Treatment costs saved for each breast cancer </td> <td> $2,522 </td> <td> (42) </td> </tr> <tr> <td> Hypertension Treatment </td> <td> </td> <td> </td> </tr> <tr> <td> Difference in no. of eligible patients treated </td> <td> -145 (-739, 449) </td> <td> (36) </td> </tr> <tr> <td> Efficacy of treatment of stroke </td> <td> .42 </td> <td> (3) </td> </tr> <tr> <td> Incidence of stroke </td> <td> .0018 </td> <td> (47) </td> </tr> <tr> <td> Efficacy of treatment of heart disease </td> <td> .14 </td> <td> (3) </td> </tr> <tr> <td> Incidence of heart disease </td> <td> .00196 </td> <td> (47) </td> </tr> <tr> <td> Treatment cost per case for stroke </td> <td> $3,815 </td> <td> (56) </td> </tr> <tr> <td> Treatment cost per case for heart disease </td> <td> $3,303 </td> <td> (56) </td> </tr> <tr> <td> STD Screening </td> <td> </td> <td> </td> </tr> <tr> <td> Difference in no. of eligible patients screened </td> <td> 645 (-253, 1542) </td> <td> (36) </td> </tr> <tr> <td> Cost of gonorrhoeae and chlamydia culture </td> <td> $55 </td> <td> (57) </td> </tr> <tr> <td> Incidence of gonorrhoeae or Chlamydia infection </td> <td> .08 </td> <td> (49) </td> </tr> <tr> <td> Pelvic inflammatory disease (PID) prevented </td> <td> .14 </td> <td> (50) </td> </tr> <tr> <td> Treatment cost per case for PID </td> <td> $1,782 </td> <td> (49) </td> </tr> <tr> <td> Flu Vaccination </td> <td> </td> <td> </td> </tr> <tr> <td> Difference in no. of eligible patients vaccinated </td> <td> 3364(1928,4799) </td> <td> (36) </td> </tr> <tr> <td> Cost of flu vaccination </td> <td> $3.75 </td> <td> (43) </td> </tr> <tr> <td> Pneumonia hospitalizations averted </td> <td> 4.1 per 1000 </td> <td> (43) </td> </tr> <tr> <td> Chronic respiratory hospitalizations averted </td> <td> 10.4 per 1000 </td> <td> (43) </td> </tr> <tr> <td> Congestive heart failure hospitalizations averted </td> <td> 2 per 1000 </td> <td> (43) </td> </tr> <tr> <td> Emergency room visits avoided </td> <td> 21.6 per 1000 </td> <td> (43) </td> </tr> <tr> <td> Emergency room visit cost </td> <td> $76.00 </td> <td> (44) </td> </tr> <tr> <td> Cost of pneumonia hospitalization </td> <td> $4,462 </td> <td> (56) </td> </tr> <tr> <td> Cost of chronic respiratory hospitalization </td> <td> $4,445 </td> <td> (56) </td> </tr> <tr> <td> Cost of heart failure hospitalization </td> <td> $5,417 </td> <td> (56) </td> </tr> <tr> <td> Cervical Cytology </td> <td> </td> <td> </td> </tr> <tr> <td> Difference in no. of eligible patients screened </td> <td> 2196 (559, 3833) </td> <td> (36) </td> </tr> <tr> <td> Cost of PAP test </td> <td> $57.17 </td> <td> (57) </td> </tr> <tr> <td> Incidence of cervical cancer </td> <td> .00013 </td> <td> (46) </td> </tr> <tr> <td> Treatment costs saved for each women screened </td> <td> $9,813 </td> <td> (41) </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Variable </th> <th> Value and Rangea </th> <th> Source </th> </tr> <tr> <td> D Manoeuvres </td> <td> </td> <td> </td> </tr> <tr> <td> Blood Glucose Screening </td> <td> </td> <td> </td> </tr> <tr> <td> Difference in eligible patients not screened </td> <td> 4709 (2329,7089) </td> <td> (36) </td> </tr> <tr> <td> Specificity of blood glucose test </td> <td> 89% </td> <td> (3) </td> </tr> <tr> <td> Cost of fasting glucose test </td> <td> $10.34 </td> <td> (57) </td> </tr> <tr> <td> Cost of glucose tolerance test </td> <td> $23.26 </td> <td> (57) </td> </tr> <tr> <td> Cost of HgA1c </td> <td> $19.12 </td> <td> (57) </td> </tr> <tr> <td> PSA Testing </td> <td> </td> <td> </td> </tr> <tr> <td> Difference in eligible patients not screened </td> <td> 95 (-932, 1122) </td> <td> (36) </td> </tr> <tr> <td> Cost of PSA Test </td> <td> $25 </td> <td> (57) </td> </tr> <tr> <td> Specificity of PSA test </td> <td> 40% </td> <td> (3) </td> </tr> <tr> <td> Cost of Biopsy* </td> <td> $232.83 </td> <td> (58) </td> </tr> <tr> <td> Mammography 40 to 49 </td> <td> </td> <td> </td> </tr> <tr> <td> Difference in eligible patients not screened </td> <td> 295 (-296, 887) </td> <td> (36) </td> </tr> <tr> <td> Cost of mammogram </td> <td> $76.54 </td> <td> (57) </td> </tr> <tr> <td> Incidence of breast cancer </td> <td> .001616 </td> <td> (42) </td> </tr> <tr> <td> Specificity of mammogram </td> <td> 96.5% </td> <td> (3) </td> </tr> <tr> <td> Cost of Biopsy </td> <td> $2,164 </td> <td> (42) </td> </tr> <tr> <td> Chest X-Ray </td> <td> </td> <td> </td> </tr> <tr> <td> Difference in eligible patients not screened </td> <td> 276 (-271, 822) </td> <td> (36) </td> </tr> <tr> <td> Cost of chest x-ray </td> <td> $233 </td> <td> (40) </td> </tr> <tr> <td> Urine Proteinuria Screening </td> <td> </td> <td> </td> </tr> <tr> <td> Difference in eligible patients not screened </td> <td> 9947 (7934,11961) </td> <td> (36) </td> </tr> <tr> <td> Specificity of urine dipstick test </td> <td> 95% </td> <td> (3) </td> </tr> <tr> <td> Cost of Urine culture and urinalysis </td> <td> $27.18 </td> <td> (57) </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Condition </th> <th> Baseline </th> <th> Low </th> <th> High </th> </tr> <tr> <td> Breast Cancer </td> <td> $12,075.20 </td> <td> $4,026.97 </td> <td> $20,123.44 </td> </tr> <tr> <td> Influenza </td> <td> $254,633.54 </td> <td> $145,976.01 </td> <td> $363,291.07 </td> </tr> <tr> <td> Neural Tube Defects </td> <td> $174,999.39 </td> <td> $99,997.21 </td> <td> $250,001.56 </td> </tr> <tr> <td> Cervical cancer </td> <td> $2,154.49 </td> <td> $548.05 </td> <td> $3,760.92 </td> </tr> <tr> <td> Lung Cancer </td> <td> $122.27 </td> <td> ($518.51) </td> <td> $763.06 </td> </tr> <tr> <td> Heart Disease </td> <td> ($808.13) </td> <td> ($4,116.12) </td> <td> $2,499.86 </td> </tr> <tr> <td> STD Treatment </td> <td> $12,862.75 </td> <td> ($5,044.91) </td> <td> $30,770.42 </td> </tr> <tr> <td> Stroke </td> <td> ($575.90) </td> <td> ($2,933.28) </td> <td> $1,781.48 </td> </tr> <tr> <td> TOTAL </td> <td> $455,463.61 </td> <td> $237,935.42 </td> <td> $672,991.81 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> </th> <th> Baseline </th> <th> Low </th> <th> High </th> </tr> <tr> <td> Costs </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Intervention Cost </td> <td> $238,388 </td> <td> $238,388 </td> <td> $238,388 </td> </tr> <tr> <td> Manoeuvre Costs </td> <td> $192,911.62 </td> <td> $42,581.43 </td> <td> $343,241.78 </td> </tr> <tr> <td> Total Costs </td> <td> $431,299.62 </td> <td> $280,969.43 </td> <td> $581,629.78 </td> </tr> <tr> <td> Savings </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Inappropriate manoeuvre savings </td> <td> $148,568.44 </td> <td> ($175,897.93) </td> <td> $473,034.80 </td> </tr> <tr> <td> Treatment cost savings </td> <td> $455,463.61 </td> <td> $237,935.42 </td> <td> $672,991.81 </td> </tr> <tr> <td> Total Savings </td> <td> $604,032.05 </td> <td> $62,037.49 </td> <td> $1,146,026.61 </td> </tr> <tr> <td> NET Savings </td> <td> $172,732.44 </td> <td> ($218,931.95) </td> <td> $564,396.83 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Purpose </th> <th> Family Medicine [%] </th> <th> Specialist [%] </th> <th> χ2 </th> <th> df </th> <th> p-value </th> </tr> <tr> <td> Personal use </td> <td> 83.0 </td> <td> 86.4 </td> <td> 3.87 </td> <td> 1 </td> <td> 0.049 </td> </tr> <tr> <td> E-mail personal </td> <td> 78.7 </td> <td> 81.7 </td> <td> 2.16 </td> <td> 1 </td> <td> .14 </td> </tr> <tr> <td> Literature searching </td> <td> 61.5 </td> <td> 74.2 </td> <td> 31.29 </td> <td> 1 </td> <td> &lt; .0001 </td> </tr> <tr> <td> Accessing online journals </td> <td> 57.6 </td> <td> 67.0 </td> <td> 14.40 </td> <td> 1 </td> <td> .0001 </td> </tr> <tr> <td> Searching for patient-specific information </td> <td> 66.7 </td> <td> 54.4 </td> <td> 21.23 </td> <td> 1 </td> <td> .0001 </td> </tr> <tr> <td> Professional association updates </td> <td> 47.3 </td> <td> 48.6 </td> <td> 0.32 </td> <td> 1 </td> <td> .57 </td> </tr> <tr> <td> Consultation with colleagues </td> <td> 11.7 </td> <td> 21.5 </td> <td> 21.66 </td> <td> 1 </td> <td> &lt;.0001 </td> </tr> <tr> <td> Prescription/patient orders </td> <td> 6.0 </td> <td> 3.4 </td> <td> 5.85 </td> <td> 1 </td> <td> .02 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th colspan="2"> Percentiles </th> <th colspan="2"> Boys </th> <th colspan="2"> Girls </th> </tr> <tr> <th> </th> <th> </th> <th> Q-max </th> <th> Q-Ave </th> <th> Q-max </th> <th> Q-Ave </th> </tr> <tr> <td rowspan="2"> 5th </td> <td> A </td> <td> +0.155 </td> <td> +0.087 </td> <td> +0.55 </td> <td> +0.51 </td> </tr> <tr> <td> B </td> <td> +1.22 </td> <td> +0.82 </td> <td> -0.21 </td> <td> +0.48 </td> </tr> <tr> <td rowspan="2"> 10th </td> <td> A </td> <td> +0.164 </td> <td> +0.093 </td> <td> +0.63 </td> <td> +0.58 </td> </tr> <tr> <td> B </td> <td> +1.39 </td> <td> +0.92 </td> <td> -0.36 </td> <td> -0.65 </td> </tr> <tr> <td rowspan="2"> 25th </td> <td> A </td> <td> +0.189 </td> <td> +0.124 </td> <td> +0.54 </td> <td> +0.67 </td> </tr> <tr> <td> B </td> <td> +1.59 </td> <td> +0.99 </td> <td> +0.27 </td> <td> -0.69 </td> </tr> <tr> <td rowspan="2"> 50th </td> <td> A </td> <td> +0.229 </td> <td> +0.131 </td> <td> +0.38 </td> <td> +0.82 </td> </tr> <tr> <td> B </td> <td> +1.67 </td> <td> +1.25 </td> <td> +1.23 </td> <td> -1.09 </td> </tr> <tr> <td rowspan="2"> 75th </td> <td> A </td> <td> +0.245 </td> <td> +0.138 </td> <td> +0.28 </td> <td> +0.85 </td> </tr> <tr> <td> B </td> <td> 2.11 </td> <td> +1.53 </td> <td> +1.90 </td> <td> -0.89 </td> </tr> <tr> <td rowspan="2"> 90th </td> <td> A </td> <td> +0.207 </td> <td> +0.14 </td> <td> +0.33 </td> <td> +0.86 </td> </tr> <tr> <td> B </td> <td> +3.06 </td> <td> +1.87 </td> <td> +1.87 </td> <td> -0.65 </td> </tr> <tr> <td rowspan="2"> 95th </td> <td> A </td> <td> +0.179 </td> <td> +0.134 </td> <td> +0.24 </td> <td> +0.73 </td> </tr> <tr> <td> B </td> <td> +3.77 </td> <td> +2.29 </td> <td> +2.39 </td> <td> +0.33 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Scale </th> <th colspan="6"> Scale statistics </th> </tr> <tr> <th> </th> <th> Mean (SD) Total UK Sample </th> <th> Mean (SD) Total US Sample </th> <th> Percentage floor chronic health condition/healthy (UK Sample) </th> <th> Percentage floor chronic health condition/healthy (US Sample) </th> <th> Percentage ceiling chronic health condition/healthy (UK Sample) </th> <th> Percentage ceiling chronic health condition/healthy (US Sample) </th> </tr> <tr> <td> Self-report </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Total score </td> <td> 82.25 (13.09) </td> <td> 79.62 (15.26) </td> <td> 0.0/0.0 </td> <td> 0.0/0.0 </td> <td> 1.4/3.2 </td> <td> 1.9/7.2 </td> </tr> <tr> <td> Physical health </td> <td> 86.08 (14.06) </td> <td> 80.19 (19.30) </td> <td> 0.3/0.0 </td> <td> 0.0/0.0 </td> <td> 12.1/20.5 </td> <td> 13.1/25.8 </td> </tr> <tr> <td> Psychosocial health </td> <td> 80.50 (14.06) </td> <td> 79.37 (15.70) </td> <td> 0.0/0.0 </td> <td> 0.0/0.0 </td> <td> 2.5/4.1 </td> <td> 5.2/12.0 </td> </tr> <tr> <td> Emotional functioning </td> <td> 76.99 (18.43) </td> <td> 78.10 (20.66) </td> <td> 0.0/0.0 </td> <td> 0.3/0.8 </td> <td> 4.9/15.6 </td> <td> 22.4/29.8 </td> </tr> <tr> <td> Social functioning </td> <td> 86.85 (16.86) </td> <td> 84.09 (18.50) </td> <td> 0.3/0.2 </td> <td> 0.0/0.0 </td> <td> 35.3/41.4 </td> <td> 33.2/47.1 </td> </tr> <tr> <td> School functioning </td> <td> 77.29 (16.92) </td> <td> 75.87 (19.71) </td> <td> 0.0/0.1 </td> <td> 0.3/0.5 </td> <td> 8.2/11.1 </td> <td> 13.0/23.1 </td> </tr> <tr> <td> Proxy-report </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Total score </td> <td> 81.12 (13.85) </td> <td> 80.87 (16.73) </td> <td> 0.0/0.0 </td> <td> 0.2/0.0 </td> <td> 0.7/3.6 </td> <td> 4.1/10.3 </td> </tr> <tr> <td> Physical health </td> <td> 84.99 (16.08) </td> <td> 81.38 (23.18) </td> <td> 0.0/0.1 </td> <td> 2.3/0.0 </td> <td> 7.4/26.7 </td> <td> 18.5/39.6 </td> </tr> <tr> <td> Psychosocial health </td> <td> 79.00 (14.70) </td> <td> 80.53 (16.52) </td> <td> 0.0/0.0 </td> <td> 0.2/0.0 </td> <td> 1.7/4.6 </td> <td> 5.6/13.8 </td> </tr> <tr> <td> Emotional functioning </td> <td> 74.67 (17.67) </td> <td> 77.95 (20.67) </td> <td> 0.0/0.1 </td> <td> 1.4/0.1 </td> <td> 6.1/12.1 </td> <td> 19.5/29.5 </td> </tr> <tr> <td> Social functioning </td> <td> 84.62 (17.24) </td> <td> 85.38 (19.17) </td> <td> 0.3/0.0 </td> <td> 0.5/0.0 </td> <td> 26.3/37.6 </td> <td> 34.4/58.1 </td> </tr> <tr> <td> School functioning </td> <td> 77.72 (18.50) </td> <td> 77.80 (22.00) </td> <td> 0.3/0.0 </td> <td> 1.7/0.3 </td> <td> 8.5/17.9 </td> <td> 15.5/34.5 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Scale </th> <th colspan="4"> Self-report </th> <th colspan="4"> Proxy-report </th> </tr> <tr> <th> </th> <th> N </th> <th> Mean (sd) </th> <th> df </th> <th> F </th> <th> N </th> <th> Mean (sd) </th> <th> df </th> <th> F </th> </tr> <tr> <td> Total Score </td> <td> </td> <td> </td> <td> 4,1393 </td> <td> 23.84 </td> <td> </td> <td> </td> <td> 4,965 </td> <td> 41.07 </td> </tr> <tr> <td> Asthma </td> <td> 99 </td> <td> 75.31(16.90) *** </td> <td> </td> <td> </td> <td> 74 </td> <td> 71.79(17.53)*** </td> <td> </td> <td> </td> </tr> <tr> <td> Diabetes </td> <td> 124 </td> <td> 82.46(12.76) </td> <td> </td> <td> </td> <td> 103 </td> <td> 77.54(12.21) *** </td> <td> </td> <td> </td> </tr> <tr> <td> Cancer </td> <td> 66 </td> <td> 75.68(15.40) *** </td> <td> </td> <td> </td> <td> 61 </td> <td> 70.96(17.06) *** </td> <td> </td> <td> </td> </tr> <tr> <td> IBD </td> <td> 76 </td> <td> 74.18(14.66) *** </td> <td> </td> <td> </td> <td> 67 </td> <td> 72.65(17.62) *** </td> <td> </td> <td> </td> </tr> <tr> <td> Healthy </td> <td> 1033 </td> <td> 83.89(11.84) </td> <td> </td> <td> </td> <td> 665 </td> <td> 84.61(11.19) </td> <td> </td> <td> </td> </tr> <tr> <td> Physical Health </td> <td> </td> <td> </td> <td> 4,1392 </td> <td> 41.60 </td> <td> </td> <td> </td> <td> 4,964 </td> <td> 46.87 </td> </tr> <tr> <td> Asthma </td> <td> 99 </td> <td> 76.14(19.10)*** </td> <td> </td> <td> </td> <td> 75 </td> <td> 73.36(20.60) *** </td> <td> </td> <td> </td> </tr> <tr> <td> Diabetes </td> <td> 124 </td> <td> 84.75(13.65)** </td> <td> </td> <td> </td> <td> 103 </td> <td> 82.97(13.67) *** </td> <td> </td> <td> </td> </tr> <tr> <td> Cancer </td> <td> 66 </td> <td> 78.10(17.64) *** </td> <td> </td> <td> </td> <td> 61 </td> <td> 75.04(18.79) *** </td> <td> </td> <td> </td> </tr> <tr> <td> IBD </td> <td> 76 </td> <td> 75.08(18.21) *** </td> <td> </td> <td> </td> <td> 67 </td> <td> 71.54(21.98) *** </td> <td> </td> <td> </td> </tr> <tr> <td> Healthy </td> <td> 1032 </td> <td> 88.51(11.62) </td> <td> </td> <td> </td> <td> 665 </td> <td> 89.06(12.27) </td> <td> </td> <td> </td> </tr> <tr> <td> Psychosocial Health </td> <td> </td> <td> </td> <td> 4,1393 </td> <td> 14.53 </td> <td> </td> <td> </td> <td> 4,964 </td> <td> 28.16 </td> </tr> <tr> <td> Asthma </td> <td> 99 </td> <td> 74.9(17.48) *** </td> <td> </td> <td> </td> <td> 74 </td> <td> 71.20(17.95) *** </td> <td> </td> <td> </td> </tr> <tr> <td> Diabetes </td> <td> 124 </td> <td> 81.24(13.77) </td> <td> </td> <td> </td> <td> 103 </td> <td> 74.62(13.27) *** </td> <td> </td> <td> </td> </tr> <tr> <td> Cancer </td> <td> 66 </td> <td> 74.37(15.85) *** </td> <td> </td> <td> </td> <td> 61 </td> <td> 68.83(17.92) *** </td> <td> </td> <td> </td> </tr> <tr> <td> IBD </td> <td> 76 </td> <td> 73.64(14.35) *** </td> <td> </td> <td> </td> <td> 67 </td> <td> 73.21(17.43) *** </td> <td> </td> <td> </td> </tr> <tr> <td> Healthy </td> <td> 1033 </td> <td> 81.84(13.21) </td> <td> </td> <td> </td> <td> 664 </td> <td> 82.21(12.67) </td> <td> </td> <td> </td> </tr> <tr> <td> Emotional functioning </td> <td> </td> <td> </td> <td> 4,1393 </td> <td> 9.85 </td> <td> </td> <td> </td> <td> 4,962 </td> <td> 23.24 </td> </tr> <tr> <td> Asthma </td> <td> 99 </td> <td> 70.66(20.06) *** </td> <td> </td> <td> </td> <td> 74 </td> <td> 67.23(21.20) *** </td> <td> </td> <td> </td> </tr> <tr> <td> Diabetes </td> <td> 124 </td> <td> 78.85(18.28) </td> <td> </td> <td> </td> <td> 102 </td> <td> 66.01(17.80) *** </td> <td> </td> <td> </td> </tr> <tr> <td> Cancer </td> <td> 66 </td> <td> 73.56(18.39) * </td> <td> </td> <td> </td> <td> 61 </td> <td> 68.36(18.04) *** </td> <td> </td> <td> </td> </tr> <tr> <td> IBD </td> <td> 76 </td> <td> 68.11(18.90) *** </td> <td> </td> <td> </td> <td> 67 </td> <td> 67.26(21.41) *** </td> <td> </td> <td> </td> </tr> <tr> <td> Healthy </td> <td> 1033 </td> <td> 78.49(17.94) </td> <td> </td> <td> </td> <td> 663 </td> <td> 78.28(15.54) </td> <td> </td> <td> </td> </tr> <tr> <td> Social functioning </td> <td> </td> <td> </td> <td> 4,1393 </td> <td> 5.89 </td> <td> </td> <td> </td> <td> 4,964 </td> <td> 14.09 </td> </tr> <tr> <td> Asthma </td> <td> 99 </td> <td> 81.76(21.35) *** </td> <td> </td> <td> </td> <td> 74 </td> <td> 76.96(21.69) *** </td> <td> </td> <td> </td> </tr> <tr> <td> Diabetes </td> <td> 124 </td> <td> 89.15(13.91) </td> <td> </td> <td> </td> <td> 103 </td> <td> 85.28(15.98) </td> <td> </td> <td> </td> </tr> <tr> <td> Cancer </td> <td> 66 </td> <td> 81.27(18.36) ** </td> <td> </td> <td> </td> <td> 61 </td> <td> 73.28(22.93) *** </td> <td> </td> <td> </td> </tr> <tr> <td> IBD </td> <td> 76 </td> <td> 83.82(16.61) </td> <td> </td> <td> </td> <td> 67 </td> <td> 82.12(18.09) * </td> <td> </td> <td> </td> </tr> <tr> <td> Healthy </td> <td> 1033 </td> <td> 87.65(16.46) </td> <td> </td> <td> </td> <td> 664 </td> <td> 86.82(15.42) </td> <td> </td> <td> </td> </tr> <tr> <td> School functioning </td> <td> </td> <td> </td> <td> 4,1386 </td> <td> 14.12 </td> <td> </td> <td> </td> <td> 4,960 </td> <td> 26.90 </td> </tr> <tr> <td> Asthma </td> <td> 99 </td> <td> 72.37(19.62) *** </td> <td> </td> <td> </td> <td> 74 </td> <td> 69.02(22.55) *** </td> <td> </td> <td> </td> </tr> <tr> <td> Diabetes </td> <td> 124 </td> <td> 77.70(17.39) </td> <td> </td> <td> </td> <td> 103 </td> <td> 72.62(17.64) *** </td> <td> </td> <td> </td> </tr> <tr> <td> Cancer </td> <td> 63 </td> <td> 67.38(20.36) *** </td> <td> </td> <td> </td> <td> 58 </td> <td> 63.45(21.71) *** </td> <td> </td> <td> </td> </tr> <tr> <td> IBD </td> <td> 73 </td> <td> 69.52(17.28) *** </td> <td> </td> <td> </td> <td> 66 </td> <td> 70.46(20.95) *** </td> <td> </td> <td> </td> </tr> <tr> <td> Healthy </td> <td> 1032 </td> <td> 78.87(15.89) </td> <td> </td> <td> </td> <td> 664 </td> <td> 81.52(16.09) </td> <td> </td> <td> </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Scale: </th> <th> Total Sample </th> <th> Healthy children </th> <th> Children with chronic health condition </th> </tr> <tr> <td> Total score </td> <td> 0.56* </td> <td> 0.32* </td> <td> 0.67* </td> </tr> <tr> <td> Physical health </td> <td> 0.53* </td> <td> 0.20* </td> <td> 0.61* </td> </tr> <tr> <td> Psychosocial health </td> <td> 0.51* </td> <td> 0.34* </td> <td> 0.63* </td> </tr> <tr> <td> Emotional functioning </td> <td> 0.41* </td> <td> 0.27* </td> <td> 0.51* </td> </tr> <tr> <td> Social functioning </td> <td> 0.50* </td> <td> 0.42* </td> <td> 0.60* </td> </tr> <tr> <td> School functioning </td> <td> 0.49* </td> <td> 0.32* </td> <td> 0.56* </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Base Model </th> <th> Spatial Distribution Function of Alternative Model </th> <th> Base Model Observed Dataset </th> <th> More Explicit Model Observed Dataset </th> </tr> <tr> <td> Null </td> <td> Distance Decline </td> <td> Relative Risk = 1 </td> <td> Distance Decline Relative Risk </td> </tr> <tr> <td> Null </td> <td> Direction </td> <td> Relative Risk = 1 </td> <td> Directional Relative Risk </td> </tr> <tr> <td> Null </td> <td> Peaked Distance Decline </td> <td> Relative Risk = 1 </td> <td> Peaked Distance Decline Relative Risk </td> </tr> <tr> <td> Null </td> <td> Distance Decline and Direction </td> <td> Relative Risk = 1 </td> <td> Distance Decline and Direction Relative Risk </td> </tr> <tr> <td> Null </td> <td> Peaked Distance Decline and Direction </td> <td> Relative Risk = 1 </td> <td> Peaked Distance Decline and Direction Relative Risk </td> </tr> <tr> <td> Distance Decline </td> <td> Distance Decline and Direction </td> <td> Distance Decline Relative Risk </td> <td> Distance Decline and Direction Relative Risk </td> </tr> <tr> <td> Distance Decline </td> <td> Peaked Distance Decline </td> <td> Distance Decline Relative Risk </td> <td> Distance Decline and Direction Relative Risk </td> </tr> <tr> <td> Distance Decline </td> <td> Peaked Distance Decline and Direction </td> <td> Distance Decline Relative Risk </td> <td> Peaked Distance Decline and Direction Relative Risk </td> </tr> <tr> <td> Direction </td> <td> Distance Decline and Direction </td> <td> Directional Relative Risk </td> <td> Distance Decline and Direction Relative Risk </td> </tr> <tr> <td> Direction </td> <td> Peaked Distance Decline and Direction </td> <td> Directional Relative Risk </td> <td> Peaked Distance Decline and Direction Relative Risk </td> </tr> <tr> <td> Peaked Distance Decline </td> <td> Peaked Distance Decline and Direction </td> <td> Peaked Distance Decline Relative Risk </td> <td> Peaked Distance Decline and Direction Relative Risk </td> </tr> <tr> <td> Distance Decline and Direction </td> <td> Peaked Distance Decline and Direction </td> <td> Distance Decline and Direction Relative Risk </td> <td> Peaked Distance Decline and Direction Relative Risk </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Author </th> <th> Year </th> <th> No of cases </th> <th> Results </th> </tr> <tr> <td> Zahner et al [15] </td> <td> 1994 </td> <td> 1 </td> <td> Positive </td> </tr> <tr> <td> Cadigan et al [7] </td> <td> 1995 </td> <td> 1 </td> <td> Positive </td> </tr> <tr> <td> Teh et al [16] </td> <td> 1998 </td> <td> 3 </td> <td> Positive </td> </tr> <tr> <td> Lastoria et al [8] </td> <td> 1998 </td> <td> 3 </td> <td> Positive </td> </tr> <tr> <td> Satta et al [9] </td> <td> 1999 </td> <td> 2 </td> <td> Positive </td> </tr> <tr> <td> Grimfjard et al [17] </td> <td> 2002 </td> <td> 3 </td> <td> 2 positive/1 Negative </td> </tr> <tr> <td> Gibril et al [5]* </td> <td> 2003 </td> <td> 8 </td> <td> Positive </td> </tr> <tr> <td> Plachcinska et al [18]** </td> <td> 2004 </td> <td> 1 </td> <td> Positive </td> </tr> <tr> <td> Loehrer et al [10] </td> <td> 2004 </td> <td> 6 </td> <td> Positive </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Time (h) </th> <th> Type </th> <th colspan="5"> Duration </th> <th> Time (h) </th> <th colspan="5"> Duration </th> </tr> <tr> <th> </th> <th> </th> <th colspan="2"> Oscillation type </th> <th colspan="2"> Fetal movements </th> <th> Recording </th> <th> </th> <th colspan="2"> Oscillation type </th> <th colspan="2"> Fetal movements </th> <th> Recording </th> </tr> <tr> <th> </th> <th> </th> <th> Min </th> <th> Sec. </th> <th> Min </th> <th> Sec. </th> <th> Min </th> <th> </th> <th> Min </th> <th> Sec. </th> <th> Min </th> <th> Sec. </th> <th> Min </th> </tr> <tr> <td rowspan="4"> 19–20 </td> <td> I </td> <td> 3 ± 0.1 </td> <td> - </td> <td> 4 </td> <td> 50 ± 0 </td> <td> 54 ± 0.1 </td> <td> 24–1 </td> <td> 2 ± 0.2 </td> <td> - </td> <td> 4 ± 0.1 </td> <td> - </td> <td> 53 ± 0.2 </td> </tr> <tr> <td> II </td> <td> 15 ± 0.2 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> <td> </td> <td> 14 ± 0.1 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> </tr> <tr> <td> III </td> <td> 4 ± 0.1 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> <td> </td> <td> 4 ± 0.4 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> </tr> <tr> <td> IV </td> <td> 32 ± 0.2 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> <td> </td> <td> 33 ± 0.4 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> </tr> <tr> <td rowspan="4"> 20–21 </td> <td> I </td> <td> - </td> <td> 10 ± 0.2 </td> <td> 4 ± 0.2 </td> <td> - </td> <td> 30 ± 0.2 </td> <td> 1 – 2 </td> <td> 1 ± 0.1 </td> <td> - </td> <td> 6 ± 0.3 </td> <td> - </td> <td> 34 ± 0.4 </td> </tr> <tr> <td> II </td> <td> 10 ± 0.1 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> <td> </td> <td> 11 ± 0.2 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> </tr> <tr> <td> III </td> <td> 5 ± 0.1 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> <td> </td> <td> 7 ± 0.4 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> </tr> <tr> <td> IV </td> <td> 15 ± 0.2 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> <td> </td> <td> 15 ± 0.2 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> </tr> <tr> <td rowspan="4"> 21–22 </td> <td> I </td> <td> - </td> <td> - </td> <td> 3 ± 0.1 </td> <td> - </td> <td> 39 ± 0.3 </td> <td> 2 – 3 </td> <td> 1 ± 0.2 </td> <td> - </td> <td> 4 ± 0.2 </td> <td> - </td> <td> 53 ± 0.1 </td> </tr> <tr> <td> II </td> <td> 12 ± 0.4 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> <td> </td> <td> 18 ± 0.1 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> </tr> <tr> <td> III </td> <td> 22 ± 0.4 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> <td> </td> <td> 7 ± 0.1 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> </tr> <tr> <td> IV </td> <td> 15 ± 0.3 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> <td> </td> <td> 27 ± 0.2 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> </tr> <tr> <td rowspan="4"> 22–23 </td> <td> I </td> <td> I </td> <td> 40 ± 0.2 </td> <td> 16 ± 0.2 </td> <td> - </td> <td> 26 ± 0.3 </td> <td> 3 – 4 </td> <td> - </td> <td> 30 ± 0.3 </td> <td> 3 </td> <td> 30 ± 0.2 </td> <td> 31 ± 0.2 </td> </tr> <tr> <td> II </td> <td> 7 ± 0.1 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> <td> </td> <td> 9 ± 0.1 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> </tr> <tr> <td> III </td> <td> - </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> <td> </td> <td> 7 ± 0.1 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> </tr> <tr> <td> IV </td> <td> 18 ± 0.3 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> <td> </td> <td> 15 ± 0.3 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> </tr> <tr> <td rowspan="4"> 23–24 </td> <td> I </td> <td> 1 ± 0.3 </td> <td> - </td> <td> 3 ± 0.2 </td> <td> - </td> <td> 58 ± 0.1 </td> <td> Total from 19-4 </td> <td> 12 </td> <td> 20 ± 0.21 </td> <td> 43 </td> <td> 20 ± 0.16 </td> <td> 388 ± 0.21 </td> </tr> <tr> <td> II </td> <td> 23 ± 0.3 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> <td> </td> <td> 123 ± 0.15 </td> <td> - </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> III </td> <td> 5 ± 0.2 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> <td> </td> <td> 44 ± 0.17 </td> <td> - </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> IV </td> <td> 29 ± 0.4 </td> <td> - </td> <td> - </td> <td> - </td> <td> </td> <td> </td> <td> 200 ± 0.26 </td> <td> - </td> <td> </td> <td> </td> <td> </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Sitea </th> <th> Enzymeb </th> <th> Gene Card </th> <th> UniGenec </th> <th> SAGEc </th> <th> Full Name </th> </tr> <tr> <td rowspan="4"> 163 </td> <td> EGFR Kinase </td> <td> EGFR </td> <td> Yes </td> <td> No </td> <td> EGFR (epidermal growth factor receptor (erythroblastic leukemia viral (v-erb- b) oncogene homolog, avian)) </td> </tr> <tr> <td> Insulin Receptor Kinase </td> <td> INSR </td> <td> Yes </td> <td> Yes </td> <td> INSR (insulin receptor) </td> </tr> <tr> <td> p85 SH2 </td> <td> PIK3R1 </td> <td> Yes </td> <td> Yes </td> <td> PIK3R1 (phosphoinositide-3-kinase, regulatory subunit, polypeptide 1 (p85 alpha)) </td> </tr> <tr> <td> Shc SH2 </td> <td> SHC1 </td> <td> No </td> <td> No </td> <td> SHC1 (SHC (Src homology 2 domain containing) transforming protein 1) </td> </tr> <tr> <td> 286 </td> <td> EGFR Kinase </td> <td> EGFR </td> <td> Yes </td> <td> No </td> <td> EGFR (epidermal growth factor receptor (erythroblastic leukemia viral (v-erb- b) oncogene homolog, avian)) </td> </tr> <tr> <td rowspan="5"> 313 </td> <td> EGFR Kinase </td> <td> EGFR </td> <td> Yes </td> <td> No </td> <td> EGFR (epidermal growth factor receptor (erythroblastic leukemia viral (v-erb- b) oncogene homolog, avian)) </td> </tr> <tr> <td> Fgr Kinase </td> <td> FGR </td> <td> No </td> <td> No </td> <td> FGR (Gardner-Rasheed feline sarcoma viral (v-fgr) oncogene homolog) </td> </tr> <tr> <td> PDGFR Kin </td> <td> PDGFRB </td> <td> No </td> <td> Yes </td> <td> PDGFRB (platelet-derived growth factor receptor, beta polypeptide) </td> </tr> <tr> <td> Itk SH2 </td> <td> ITK </td> <td> No </td> <td> No </td> <td> ITK (IL2-inducible T-cell kinase) </td> </tr> <tr> <td> Fgr SH2 </td> <td> FGR </td> <td> No </td> <td> No </td> <td> FGR (Gardner-Rasheed feline sarcoma viral (v-fgr) oncogene homolog) </td> </tr> <tr> <td rowspan="4"> 719 </td> <td> Lck Kinase </td> <td> LCK </td> <td> No </td> <td> No </td> <td> LCK (lymphocyte-specific protein tyrosine kinase) </td> </tr> <tr> <td> Abl Kinase </td> <td> ABL1 </td> <td> No </td> <td> Yes </td> <td> ABL1 (v-abl Abelson murine leukemia viral oncogene homolog 1) </td> </tr> <tr> <td> Itk SH2 </td> <td> ITK </td> <td> No </td> <td> No </td> <td> ITK (IL2-inducible T-cell kinase) </td> </tr> <tr> <td> Src Kinase </td> <td> SRC </td> <td> Yes </td> <td> No </td> <td> SRC (v-src sarcoma (Schmidt-Ruppin A-2) viral oncogene homolog (avian)) </td> </tr> <tr> <td rowspan="4"> 149 2 </td> <td> Src Kinase </td> <td> SRC </td> <td> Yes </td> <td> No </td> <td> SRC (v-src sarcoma (Schmidt-Ruppin A-2) viral oncogene homolog (avian)) </td> </tr> <tr> <td> Lck SH2 </td> <td> LCK </td> <td> No </td> <td> No </td> <td> LCK (lymphocyte-specific protein tyrosine kinase) </td> </tr> <tr> <td> Fgr SH2 </td> <td> FGR </td> <td> No </td> <td> No </td> <td> FGR (Gardner-Rasheed feline sarcoma viral (v-fgr) oncogene homolog) </td> </tr> <tr> <td> Src SH2 </td> <td> SRC </td> <td> Yes </td> <td> No </td> <td> SRC (v-src sarcoma (Schmidt-Ruppin A-2) viral oncogene homolog (avian)) </td> </tr> <tr> <td rowspan="3"> 185 6 </td> <td> Lck Kinase </td> <td> LCK </td> <td> No </td> <td> No </td> <td> LCK (lymphocyte-specific protein tyrosine kinase) </td> </tr> <tr> <td> Src Kinase </td> <td> SRC </td> <td> Yes </td> <td> No </td> <td> SRC (v-src sarcoma (Schmidt-Ruppin A-2) viral oncogene homolog (avian)) </td> </tr> <tr> <td> Abl Kinase </td> <td> ABL1 </td> <td> No </td> <td> Yes </td> <td> ABL1 (v-abl Abelson murine leukemia viral oncogene homolog 1) </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> </th> <th> Nature (12/00) </th> <th> Release 1 (8/01) </th> <th> Release 2 (1/02) </th> <th> Release 3 (8/02) </th> <th> Release 4 (4/03) </th> <th> Release 5 (1/04) </th> </tr> <tr> <td> Genome size (Mb) </td> <td> 115.410 </td> <td> 116.238 </td> <td> 117.227 </td> <td> 117.077 </td> <td> 119.055 </td> <td> 118.998 </td> </tr> <tr> <td> protein-coding genes </td> <td> 25,498 </td> <td> 25,554 </td> <td> 26,156 </td> <td> 27,117 </td> <td> 27,170 </td> <td> 26,207 </td> </tr> <tr> <td> transposons and pseudogenes </td> <td> NA </td> <td> 1,274 </td> <td> 1,305 </td> <td> 1,967 </td> <td> 2,218 </td> <td> 3,786 </td> </tr> <tr> <td> Genes annotated as alternatively spliced </td> <td> NA </td> <td> 0 </td> <td> 28 </td> <td> 162 </td> <td> 1,267 </td> <td> 2,330 </td> </tr> <tr> <td> genes with UTRs </td> <td> NA </td> <td> 4,140 </td> <td> 10,219 </td> <td> 11,691 </td> <td> 17,060 </td> <td> 18,099 </td> </tr> <tr> <td> Protein-coding genes similar to transposon ORFsa </td> <td> NA </td> <td> 487 </td> <td> 485 </td> <td> 528 </td> <td> 531 </td> <td> 6 </td> </tr> <tr> <td> gene density (kb per gene) </td> <td> 4.5 </td> <td> 4.55 </td> <td> 4.48 </td> <td> 4.32 </td> <td> 4.38 </td> <td> 4.54 </td> </tr> <tr> <td> exons / gene </td> <td> 5.2 </td> <td> 5.23 </td> <td> 5.25 </td> <td> 5.24 </td> <td> 5.31 </td> <td> 5.42 </td> </tr> <tr> <td> average exon length (bp) </td> <td> 250 </td> <td> 256 </td> <td> 265 </td> <td> 266 </td> <td> 279 </td> <td> 276 </td> </tr> <tr> <td> average intron length (bp) </td> <td> 168 </td> <td> 168 </td> <td> 167 </td> <td> 166 </td> <td> 166 </td> <td> 164 </td> </tr> <tr> <td> Gene structures altered since previous release. (u,a,d,m,s) </td> <td> NA </td> <td> - </td> <td> u: 2,853 a: 690 d: 231 m: 14 s: 167 </td> <td> u:1,366 a: 1,906 d: 221 m: 62 s: 14 </td> <td> u: 2,347 a: 527 d: 143 m: 153 s: 24 </td> <td> u: 2,858 a: 1,393 d: 730 m: 169 s: 28 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Transposable element classification </th> <th> # Annotated genomic regions </th> </tr> <tr> <td> Class I (Retrotransposons) </td> <td> 1652 </td> </tr> <tr> <td> gypsy-like retrotransposon family (Athila) </td> <td> 511 </td> </tr> <tr> <td> gypsy-like retrotransposon family </td> <td> 374 </td> </tr> <tr> <td> copia-like retrotransposon family </td> <td> 494 </td> </tr> <tr> <td> non-LTR retrotransposon family (LINE) </td> <td> 264 </td> </tr> <tr> <td> other </td> <td> 9 </td> </tr> <tr> <td> Class II (DNA transposons) </td> <td> 703 </td> </tr> <tr> <td> hAT-like transposase family (hobo/Ac/Tam3) </td> <td> 77 </td> </tr> <tr> <td> CACTA-like transposase family (En/Spm) </td> <td> 69 </td> </tr> <tr> <td> CACTA-like transposase family (Ptta/En/Spm) </td> <td> 127 </td> </tr> <tr> <td> CACTA-like transposase family (Tnp1/En/Spm) </td> <td> 37 </td> </tr> <tr> <td> CACTA-like transposase family (Tnp2/En/Spm) </td> <td> 102 </td> </tr> <tr> <td> Mutator-like transposase family </td> <td> 268 </td> </tr> <tr> <td> Mariner-like transposase family </td> <td> 9 </td> </tr> <tr> <td> other </td> <td> 14 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Amino Acid </th> <th> Overall composition </th> <th> All Genes (3462) </th> <th> Proteins (&gt;100 residues) </th> <th> Membrane Proteins </th> <th> Non-Membrane Proteins </th> </tr> <tr> <td> A </td> <td> 5.49 </td> <td> 0.336 </td> <td> 0.361 </td> <td> 0.401 </td> <td> 0.340 </td> </tr> <tr> <td> C </td> <td> 1.26 </td> <td> -0.003 </td> <td> -0.102 </td> <td> 0.030 </td> <td> 0.000 </td> </tr> <tr> <td> D </td> <td> 5.58 </td> <td> -0.168 </td> <td> -0.152 </td> <td> -0.147 </td> <td> -0.207 </td> </tr> <tr> <td> E </td> <td> 6.54 </td> <td> -0.061 </td> <td> -0.045 </td> <td> -0.105 </td> <td> -0.088 </td> </tr> <tr> <td> F </td> <td> 4.42 </td> <td> -0.122 </td> <td> -0.109 </td> <td> -0.093 </td> <td> -0.107 </td> </tr> <tr> <td> G </td> <td> 4.98 </td> <td> 0.215 </td> <td> 0.217 </td> <td> 0.127 </td> <td> 0.231 </td> </tr> <tr> <td> H </td> <td> 2.23 </td> <td> -0.052 </td> <td> -0.056 </td> <td> -0.131 </td> <td> -0.048 </td> </tr> <tr> <td> I </td> <td> 6.56 </td> <td> -0.136 </td> <td> -0.116 </td> <td> -0.091 </td> <td> -0.128 </td> </tr> <tr> <td> K </td> <td> 7.35 </td> <td> 0.166 </td> <td> 0.158 </td> <td> -0.117 </td> <td> 0.182 </td> </tr> <tr> <td> L </td> <td> 9.50 </td> <td> -0.208 </td> <td> -0.191 </td> <td> -0.131 </td> <td> -0.212 </td> </tr> <tr> <td> M </td> <td> 2.08 </td> <td> -0.087 </td> <td> -0.098 </td> <td> -0.003 </td> <td> -0.094 </td> </tr> <tr> <td> N </td> <td> 6.17 </td> <td> -0.210 </td> <td> -0.220 </td> <td> -0.209 </td> <td> -0.226 </td> </tr> <tr> <td> P </td> <td> 4.37 </td> <td> -0.064 </td> <td> -0.057 </td> <td> 0.039 </td> <td> -0.086 </td> </tr> <tr> <td> Q </td> <td> 3.96 </td> <td> -0.052 </td> <td> -0.061 </td> <td> -0.072 </td> <td> -0.065 </td> </tr> <tr> <td> R </td> <td> 4.43 </td> <td> 0.204 </td> <td> 0.183 </td> <td> -0.260 </td> <td> 0.240 </td> </tr> <tr> <td> S </td> <td> 8.98 </td> <td> -0.152 </td> <td> -0.159 </td> <td> 0.013 </td> <td> -0.180 </td> </tr> <tr> <td> T </td> <td> 5.92 </td> <td> 0.008 </td> <td> 0.003 </td> <td> 0.279 </td> <td> -0.036 </td> </tr> <tr> <td> V </td> <td> 5.56 </td> <td> 0.269 </td> <td> 0.298 </td> <td> 0.214 </td> <td> 0.294 </td> </tr> <tr> <td> W </td> <td> 1.04 </td> <td> -0.072 </td> <td> -0.077 </td> <td> -0.043 </td> <td> -0.055 </td> </tr> <tr> <td> Y </td> <td> 3.38 </td> <td> -0.009 </td> <td> -0.018 </td> <td> -0.030 </td> <td> 0.018 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Method </th> <th> FP </th> <th> FN </th> <th> TP </th> <th> TN </th> <th> S(M) </th> </tr> <tr> <td> GEM </td> <td> 4 </td> <td> 6 </td> <td> 115 </td> <td> 2340 </td> <td> 226 </td> </tr> <tr> <td> AACM </td> <td> 8 </td> <td> 22 </td> <td> 99 </td> <td> 2336 </td> <td> 190 </td> </tr> <tr> <td> GEM + AACM </td> <td> 4 </td> <td> 2 </td> <td> 119 </td> <td> 2340 </td> <td> 234 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Percent Composition </th> <th colspan="2"> Ala </th> <th colspan="2"> Gly </th> <th colspan="2"> Arg </th> <th colspan="2"> Val </th> </tr> <tr> <th> </th> <th> Genes * </th> <th> E. Level ** </th> <th> Genes </th> <th> E. Level </th> <th> Genes </th> <th> E. Level </th> <th> Genes </th> <th> E. Level </th> </tr> <tr> <td> 1 – 3 </td> <td> 152 </td> <td> 2.15 </td> <td> 333 </td> <td> 2.82 </td> <td> 543 </td> <td> 3.70 </td> <td> 543 </td> <td> 3.70 </td> </tr> <tr> <td> 3 – 5 </td> <td> 1063 </td> <td> 2.05 </td> <td> 1166 </td> <td> 2.39 </td> <td> 1728 </td> <td> 2.86 </td> <td> 1728 </td> <td> 2.86 </td> </tr> <tr> <td> 5 – 7 </td> <td> 1204 </td> <td> 2.75 </td> <td> 1176 </td> <td> 3.61 </td> <td> 798 </td> <td> 2.85 </td> <td> 798 </td> <td> 2.85 </td> </tr> <tr> <td> 7 – 9 </td> <td> 613 </td> <td> 4.86 </td> <td> 510 </td> <td> 6.14 </td> <td> 194 </td> <td> 7.52 </td> <td> 194 </td> <td> 7.52 </td> </tr> <tr> <td> 9 – 11 </td> <td> 242 </td> <td> 9.19 </td> <td> 155 </td> <td> 7.39 </td> <td> 55 </td> <td> 19.58 </td> <td> 55 </td> <td> 19.58 </td> </tr> <tr> <td> 11 – 13 </td> <td> 61 </td> <td> 15.19 </td> <td> 33 </td> <td> 12.64 </td> <td> 23 </td> <td> 17.30 </td> <td> 23 </td> <td> 17.30 </td> </tr> <tr> <td> 13 – 15 </td> <td> 30 </td> <td> 15.81 </td> <td> 15 </td> <td> 12.73 </td> <td> 5 </td> <td> 29.86 </td> <td> 5 </td> <td> 29.86 </td> </tr> <tr> <td> &gt; 15 </td> <td> 32 </td> <td> 16.52 </td> <td> 7 </td> <td> 13.54 </td> <td> 2 </td> <td> 12.85 </td> <td> 2 </td> <td> 12.85 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Percent Composition </th> <th colspan="2"> Asp </th> <th colspan="2"> Leu </th> <th colspan="2"> Asn </th> <th colspan="2"> Ser </th> </tr> <tr> <th> </th> <th> Genes* </th> <th> E. Level** </th> <th> Genes </th> <th> E. Level </th> <th> Genes </th> <th> E. Level </th> <th> Genes </th> <th> E. Level </th> </tr> <tr> <td> 1 – 3 </td> <td> 260 </td> <td> 9.81 </td> <td> 20 </td> <td> 14.06 </td> <td> 249 </td> <td> 8.69 </td> <td> 31 </td> <td> 12.52 </td> </tr> <tr> <td> 3 – 5 </td> <td> 847 </td> <td> 3.97 </td> <td> 114 </td> <td> 12.19 </td> <td> 1195 </td> <td> 5.21 </td> <td> 264 </td> <td> 7.85 </td> </tr> <tr> <td> 5 – 7 </td> <td> 1505 </td> <td> 3.35 </td> <td> 467 </td> <td> 6.20 </td> <td> 1323 </td> <td> 2.96 </td> <td> 907 </td> <td> 5.39 </td> </tr> <tr> <td> 7 – 9 </td> <td> 657 </td> <td> 3.10 </td> <td> 1033 </td> <td> 4.05 </td> <td> 478 </td> <td> 1.72 </td> <td> 1202 </td> <td> 3.41 </td> </tr> <tr> <td> 9 – 11 </td> <td> 117 </td> <td> 3.15 </td> <td> 1118 </td> <td> 3.09 </td> <td> 148 </td> <td> 1.83 </td> <td> 645 </td> <td> 2.06 </td> </tr> <tr> <td> 11 – 13 </td> <td> 32 </td> <td> 2.38 </td> <td> 526 </td> <td> 2.42 </td> <td> 34 </td> <td> 3.15 </td> <td> 221 </td> <td> 2.77 </td> </tr> <tr> <td> 13 – 15 </td> <td> 10 </td> <td> 2.86 </td> <td> 151 </td> <td> 1.98 </td> <td> 11 </td> <td> 0.95 </td> <td> 103 </td> <td> 1.98 </td> </tr> <tr> <td> 15 </td> <td> 5 </td> <td> 1.22 </td> <td> 32 </td> <td> 2.57 </td> <td> 9 </td> <td> 1.14 </td> <td> 87 </td> <td> 3.16 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Amino Acid </th> <th colspan="2"> Alternate Dataset 1 (Untreated) </th> <th colspan="2"> Alternate Dataset 2 (Treated) </th> </tr> <tr> <th> </th> <th> All Genes </th> <th> &gt; 100 residues </th> <th> All Genes </th> <th> &gt; 100 residues </th> </tr> <tr> <td> A </td> <td> 0.341 </td> <td> 0.348 </td> <td> 0.331 </td> <td> 0.338 </td> </tr> <tr> <td> C </td> <td> -0.052 </td> <td> -0.062 </td> <td> -0.045 </td> <td> -0.051 </td> </tr> <tr> <td> D </td> <td> -0.084 </td> <td> -0.083 </td> <td> -0.055 </td> <td> -0.057 </td> </tr> <tr> <td> E </td> <td> 0.004 </td> <td> 0.016 </td> <td> -0.012 </td> <td> -0.004 </td> </tr> <tr> <td> F </td> <td> -0.072 </td> <td> -0.069 </td> <td> -0.057 </td> <td> -0.052 </td> </tr> <tr> <td> G </td> <td> 0.156 </td> <td> 0.165 </td> <td> 0.173 </td> <td> 0.184 </td> </tr> <tr> <td> H </td> <td> -0.075 </td> <td> -0.059 </td> <td> -0.064 </td> <td> -0.051 </td> </tr> <tr> <td> I </td> <td> -0.075 </td> <td> -0.085 </td> <td> -0.060 </td> <td> -0.071 </td> </tr> <tr> <td> K </td> <td> 0.070 </td> <td> 0.062 </td> <td> 0.017 </td> <td> 0.007 </td> </tr> <tr> <td> L </td> <td> -0.157 </td> <td> -0.155 </td> <td> -0.137 </td> <td> -0.131 </td> </tr> <tr> <td> M </td> <td> -0.046 </td> <td> -0.057 </td> <td> -0.053 </td> <td> -0.060 </td> </tr> <tr> <td> N </td> <td> -0.162 </td> <td> -0.156 </td> <td> -0.159 </td> <td> -0.158 </td> </tr> <tr> <td> P </td> <td> -0.026 </td> <td> -0.035 </td> <td> -0.006 </td> <td> -0.010 </td> </tr> <tr> <td> Q </td> <td> -0.037 </td> <td> -0.049 </td> <td> -0.036 </td> <td> -0.047 </td> </tr> <tr> <td> R </td> <td> 0.018 </td> <td> 0.022 </td> <td> -0.046 </td> <td> -0.040 </td> </tr> <tr> <td> S </td> <td> -0.102 </td> <td> -0.099 </td> <td> -0.108 </td> <td> -0.109 </td> </tr> <tr> <td> T </td> <td> 0.029 </td> <td> 0.022 </td> <td> 0.041 </td> <td> 0.032 </td> </tr> <tr> <td> V </td> <td> 0.178 </td> <td> 0.188 </td> <td> 0.193 </td> <td> 0.209 </td> </tr> <tr> <td> W </td> <td> -0.056 </td> <td> -0.064 </td> <td> -0.034 </td> <td> -0.043 </td> </tr> <tr> <td> Y </td> <td> -0.031 </td> <td> -0.040 </td> <td> -0.002 </td> <td> -0.009 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Amino Acid </th> <th> Correlation with log(Fold change) </th> </tr> <tr> <td> A </td> <td> -0.184 </td> </tr> <tr> <td> C </td> <td> 0.055 </td> </tr> <tr> <td> D </td> <td> 0.029 </td> </tr> <tr> <td> E </td> <td> -0.036 </td> </tr> <tr> <td> F </td> <td> 0.136 </td> </tr> <tr> <td> G </td> <td> -0.118 </td> </tr> <tr> <td> H </td> <td> -0.014 </td> </tr> <tr> <td> I </td> <td> 0.158 </td> </tr> <tr> <td> K </td> <td> -0.111 </td> </tr> <tr> <td> L </td> <td> 0.220 </td> </tr> <tr> <td> M </td> <td> 0.046 </td> </tr> <tr> <td> N </td> <td> 0.143 </td> </tr> <tr> <td> P </td> <td> 0.064 </td> </tr> <tr> <td> Q </td> <td> 0.068 </td> </tr> <tr> <td> R </td> <td> -0.036 </td> </tr> <tr> <td> S </td> <td> -0.113 </td> </tr> <tr> <td> T </td> <td> -0.110 </td> </tr> <tr> <td> V </td> <td> -0.068 </td> </tr> <tr> <td> W </td> <td> 0.185 </td> </tr> <tr> <td> Y </td> <td> 0.076 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="2"> Total Samples </th> <th colspan="2"> Scanty Growth </th> <th colspan="2"> Semi-confluent growth </th> <th colspan="2"> Confluent growth </th> <th> P-value2 </th> </tr> <tr> <th> Nugent's score1 </th> <th> 0–6 </th> <th> 7–10 </th> <th> 0–6 </th> <th> 7–10 </th> <th> 0–6 </th> <th> 7–10 </th> <th> 0–6 </th> <th> 7–10 </th> <th> </th> </tr> <tr> <td> Isolate </td> <td> N </td> <td> N </td> <td> % (n) </td> <td> % (n) </td> <td> % (n) </td> <td> % (n) </td> <td> % (n) </td> <td> % (n) </td> <td> </td> </tr> <tr> <td> Aerobic flora </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Lactobacillus spp. </td> <td> 119 </td> <td> 106 </td> <td> 5.0 (6) </td> <td> 8.5 (9) </td> <td> 16.8 (20) </td> <td> 4.7 (5) </td> <td> 33.6 (40) </td> <td> 4.7 (5) </td> <td> &lt;0.001 </td> </tr> <tr> <td> Coliform spp. </td> <td> 119 </td> <td> 106 </td> <td> 12.6 (15) </td> <td> 9.4 (10) </td> <td> 1.7 (2) </td> <td> 6.6 (7) </td> <td> 5.0 (6) </td> <td> 4.7 (5) </td> <td> 0.868 </td> </tr> <tr> <td> Staphylococcus spp. </td> <td> 119 </td> <td> 105 </td> <td> 24.4 (29) </td> <td> 37.1 (39) </td> <td> 9.24 (11) </td> <td> 4.8 (5) </td> <td> 0.8 (1) </td> <td> 0.9 (1) </td> <td> 0.217 </td> </tr> <tr> <td> Streptococcus spp. </td> <td> 119 </td> <td> 105 </td> <td> 13.4 (16) </td> <td> 15.2 (16) </td> <td> 11.8 (14) </td> <td> 12.4 (13) </td> <td> 13.4 (16) </td> <td> 10.9 (11) </td> <td> 1.000 </td> </tr> <tr> <td> Candida spp. </td> <td> 93 </td> <td> 81 </td> <td> 11.8 (11) </td> <td> 14.8 (12) </td> <td> 16.1 (15) </td> <td> 7.4 (6) </td> <td> 15.1 (14) </td> <td> 8.6 (7) </td> <td> 0.117 </td> </tr> <tr> <td> Microaerophilic flora </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Gardnerella vaginalis </td> <td> 117 </td> <td> 106 </td> <td> 1.7 (2) </td> <td> 8.5 (9) </td> <td> 6.8 (8) </td> <td> 21.7 (23) </td> <td> 13.7 (16) </td> <td> 38.7 (41) </td> <td> &lt;0.001 </td> </tr> <tr> <td> Anaerobic flora </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Any anaerobic isolate3 </td> <td> 34 </td> <td> 32 </td> <td> 1 (3) </td> <td> 2 (6) </td> <td> 2 (6) </td> <td> 9 (28) </td> <td> 3 (9) </td> <td> 6 (19) </td> <td> 0.0054 </td> </tr> <tr> <td> Bacteroides spp. </td> <td> 34 </td> <td> 32 </td> <td> 0 </td> <td> 6.2 (2) </td> <td> 0 </td> <td> 12.5 (4) </td> <td> 2.9 (1) </td> <td> 12.5 (4) </td> <td> 0.002 </td> </tr> <tr> <td> Prevotella spp. </td> <td> 34 </td> <td> 32 </td> <td> 2.9 (1) </td> <td> 0 </td> <td> 2.9 (1) </td> <td> 9.4 (3) </td> <td> 2.9 (1) </td> <td> 12.5 (4) </td> <td> 0.180 </td> </tr> <tr> <td> Peptostreptococcus spp. </td> <td> 34 </td> <td> 32 </td> <td> 0 </td> <td> 0 </td> <td> 0 </td> <td> 3.1 (1) </td> <td> 0 </td> <td> 0 </td> <td> 0.485 </td> </tr> <tr> <td> Other anaerobes5 </td> <td> 34 </td> <td> 32 </td> <td> 0 </td> <td> 0 </td> <td> 1 (3) </td> <td> 2 (6) </td> <td> 1 (3) </td> <td> 0 </td> <td> 0.801 </td> </tr> <tr> <td> Mobiluncus spp. </td> <td> 35 </td> <td> 33 </td> <td> 0 </td> <td> 0 </td> <td> 0 </td> <td> 0 </td> <td> 0 </td> <td> 0 </td> <td> - </td> </tr> <tr> <td> Mycoplasma hominis </td> <td> 115 </td> <td> 105 </td> <td> 0 </td> <td> 0 </td> <td> 2.6 (3) </td> <td> 0.9 (1) </td> <td> 14.8 (17) </td> <td> 24.8 (26) </td> <td> 0.142 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Genital micro-organisms </th> <th colspan="7"> Prevalence of genital micro-organism in those with: </th> </tr> <tr> <th> </th> <th colspan="2"> No lactobacilli </th> <th colspan="2"> Non H2O2 producing lactobacilli </th> <th colspan="2"> H2O2 producing lactobacilli </th> <th> P-value1 </th> </tr> <tr> <th> </th> <th> n/N </th> <th> (%) </th> <th> n/N </th> <th> (%) </th> <th> n/N </th> <th> (%) </th> <th> </th> </tr> <tr> <td> C trachomatis </td> <td> 21/140 </td> <td> (15.0) </td> <td> 4/18 </td> <td> (22.2) </td> <td> 1/42 </td> <td> (2.4) </td> <td> 0.024 </td> </tr> <tr> <td> N gonorrhoeae </td> <td> 12/138 </td> <td> (8.7) </td> <td> 0/17 </td> <td> (0) </td> <td> 1/42 </td> <td> (2.4) </td> <td> 0.303 </td> </tr> <tr> <td> Candida spp </td> <td> 34/110 </td> <td> (30.9) </td> <td> 6/14 </td> <td> (42.9) </td> <td> 16/32 </td> <td> (50.0) </td> <td> 0.108 </td> </tr> <tr> <td> T vaginalis </td> <td> 19/140 </td> <td> (13.6) </td> <td> 1/18 </td> <td> (5.6) </td> <td> 3/39 </td> <td> (7.1) </td> <td> 0.509 </td> </tr> <tr> <td> G vaginalis </td> <td> 78/140 </td> <td> (55.7) </td> <td> 5/18 </td> <td> (27.8) </td> <td> 9/40 </td> <td> (22.5) </td> <td> &lt;0.001 </td> </tr> <tr> <td> Anaerobes </td> <td> 16/34 </td> <td> (47.1) </td> <td> 0/3 </td> <td> (0) </td> <td> 3/21 </td> <td> (14.3) </td> <td> 0.016 </td> </tr> <tr> <td> M hominis </td> <td> 33/137 </td> <td> (24.1) </td> <td> 5/17 </td> <td> (29.4) </td> <td> 5/40 </td> <td> (12.5) </td> <td> 0.214 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="3"> Prevalence of BV (Nugent's score 7–10) </th> <th colspan="3"> Prevalence of HIV </th> </tr> <tr> <th> </th> <th> n/N </th> <th> % </th> <th> P-value4 </th> <th> n/N </th> <th> % </th> <th> P-value4 </th> </tr> <tr> <td> Douching1 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> No </td> <td> 12/22 </td> <td> 54.5 </td> <td> 0.507 </td> <td> 3/22 </td> <td> 13.6 </td> <td> 1.000 </td> </tr> <tr> <td> Yes </td> <td> 94/202 </td> <td> 46.5 </td> <td> </td> <td> 24/185 </td> <td> 13.0 </td> <td> </td> </tr> <tr> <td colspan="2"> Menstrual hygiene </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Traditional2 </td> <td> 70/138 </td> <td> 50.7 </td> <td> 0.323 </td> <td> 17/129 </td> <td> 13.2 </td> <td> 1.000 </td> </tr> <tr> <td> Sanitary pads </td> <td> 34/79 </td> <td> 43.0 </td> <td> </td> <td> 9/71 </td> <td> 12.7 </td> <td> </td> </tr> <tr> <td colspan="2"> Female genital cutting3 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> No </td> <td> 38/68 </td> <td> 55.9 </td> <td> 0.146 </td> <td> 12/63 </td> <td> 19.1 </td> <td> 0.115 </td> </tr> <tr> <td> Yes </td> <td> 70/157 </td> <td> 44.6 </td> <td> </td> <td> 15/145 </td> <td> 10.3 </td> <td> </td> </tr> <tr> <td> BV </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> No </td> <td> </td> <td> </td> <td> </td> <td> 12/110 </td> <td> 10.9 </td> <td> 0.414 </td> </tr> <tr> <td> Yes </td> <td> </td> <td> </td> <td> </td> <td> 15/100 </td> <td> 15.0 </td> <td> </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Season </th> <th> Onset </th> <th> Peak </th> <th> Offset </th> <th> Duration </th> </tr> <tr> <td> 1995/1996 late season </td> <td> 1 </td> <td> 12 </td> <td> 17 </td> <td> 17 </td> </tr> <tr> <td> 1996/1997 early season </td> <td> 49 </td> <td> 8 </td> <td> 13 </td> <td> 16 </td> </tr> <tr> <td> 1997/1998 late season </td> <td> 2 </td> <td> 13 </td> <td> 20 </td> <td> 19 </td> </tr> <tr> <td> 1998/1999 early season </td> <td> 48 </td> <td> 5 </td> <td> 18 </td> <td> 24 </td> </tr> <tr> <td> 1999/2000 late season </td> <td> 50 </td> <td> 14 </td> <td> 19 </td> <td> 23 </td> </tr> <tr> <td> 2000/2001 early season </td> <td> 48 </td> <td> 6 </td> <td> 15 </td> <td> 21 </td> </tr> <tr> <td> 2001/2002 late season </td> <td> 6 </td> <td> 20 </td> <td> 23 </td> <td> 18 </td> </tr> <tr> <td> 2002/2003 early season </td> <td> 45 </td> <td> 51 </td> <td> 6 </td> <td> 14 </td> </tr> <tr> <td> 2003/2004 late season </td> <td> 1 </td> <td> 14 </td> <td> 19 </td> <td> 19 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Gene </th> <th> No. of Species </th> <th> TP </th> <th> TN </th> <th> FP </th> <th> FN </th> <th> Specificity </th> <th> Sensitivity </th> <th> Accuracy </th> <th> Balanced Accuracy </th> </tr> <tr> <td> Complex I </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> nad1 </td> <td> 10 </td> <td> 135 </td> <td> 1632 </td> <td> 14 </td> <td> 33 (2) </td> <td> 99.1 </td> <td> 80.4 (98.5) </td> <td> 97.4 (99.1) </td> <td> 89.8 (98.8) </td> </tr> <tr> <td> nad2 </td> <td> 9 </td> <td> 140 </td> <td> 2337 </td> <td> 22 </td> <td> 42 (9) </td> <td> 99.1 </td> <td> 76.9 (94.0) </td> <td> 97.5 (98.8) </td> <td> 88.0 (96.5) </td> </tr> <tr> <td> nad3 </td> <td> 22 </td> <td> 274 </td> <td> 1217 </td> <td> 8 </td> <td> 47 (4) </td> <td> 99.3 </td> <td> 85.4 (98.6) </td> <td> 96.4 (99.2) </td> <td> 92.4 (99.0) </td> </tr> <tr> <td> nad4 </td> <td> 9 </td> <td> 133 </td> <td> 2358 </td> <td> 19 </td> <td> 12 (1) </td> <td> 99.2 </td> <td> 91.7 (99.3) </td> <td> 98.8 (99.2) </td> <td> 95.5 (99.2) </td> </tr> <tr> <td> nad4L </td> <td> 8 </td> <td> 49 </td> <td> 303 </td> <td> 5 </td> <td> 0 (0) </td> <td> 98.4 </td> <td> 100.0 (100.0) </td> <td> 98.6 (98.6) </td> <td> 99.2 (99.2) </td> </tr> <tr> <td> nad5 </td> <td> 10 </td> <td> 122 </td> <td> 3647 </td> <td> 29 </td> <td> 10 (4) </td> <td> 99.2 </td> <td> 92.4 (96.8) </td> <td> 99.0 (99.1) </td> <td> 95.8 (98.0) </td> </tr> <tr> <td> nad6 </td> <td> 10 </td> <td> 70 </td> <td> 995 </td> <td> 16 </td> <td> 15 (3) </td> <td> 98.4 </td> <td> 82.4 (95.9) </td> <td> 97.2 (98.2) </td> <td> 90.4 (97.2) </td> </tr> <tr> <td> nad7 </td> <td> 8 </td> <td> 117 </td> <td> 1655 </td> <td> 5 </td> <td> 22 (1) </td> <td> 99.7 </td> <td> 84.2 (99.2) </td> <td> 98.5 (99.7) </td> <td> 91.9 (99.4) </td> </tr> <tr> <td> nad9 </td> <td> 12 </td> <td> 75 </td> <td> 1236 </td> <td> 7 </td> <td> 5 (3) </td> <td> 99.4 </td> <td> 93.8 (96.2) </td> <td> 99.1 (99.2) </td> <td> 96.6 (97.8) </td> </tr> <tr> <td> Complex II </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> sdh3 </td> <td> 7 </td> <td> 6 </td> <td> 391 </td> <td> 12 </td> <td> 11 (2) </td> <td> 97.0 </td> <td> 35.3 (75.0) </td> <td> 94.5 (96.6) </td> <td> 66.2 (86.0) </td> </tr> <tr> <td> sdh4 </td> <td> 8 </td> <td> 10 </td> <td> 361 </td> <td> 14 </td> <td> 16 (3) </td> <td> 96.3 </td> <td> 38.5 (76.9) </td> <td> 92.5 (95.6) </td> <td> 67.4 (86.6) </td> </tr> <tr> <td> Complex III </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> cob </td> <td> 13 </td> <td> 117 </td> <td> 2834 </td> <td> 19 </td> <td> 25 (8) </td> <td> 99.3 </td> <td> 82.4 (93.6) </td> <td> 98.5 (99.1) </td> <td> 90.9 (96.5) </td> </tr> <tr> <td> Complex IV </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> cox1 </td> <td> 9 </td> <td> 38 </td> <td> 2936 </td> <td> 7 </td> <td> 7 (5) </td> <td> 99.8 </td> <td> 84.4 (88.4) </td> <td> 99.5 (99.6) </td> <td> 92.1 (94.1) </td> </tr> <tr> <td> cox2 </td> <td> 19 </td> <td> 193 </td> <td> 2644 </td> <td> 22 </td> <td> 33 (11) </td> <td> 99.2 </td> <td> 85.4 (94.6) </td> <td> 98.1 (98.9) </td> <td> 92.3 (96.9) </td> </tr> <tr> <td> cox3 </td> <td> 12 </td> <td> 80 </td> <td> 1793 </td> <td> 21 </td> <td> 11 (2) </td> <td> 98.8 </td> <td> 87.9 (97.6) </td> <td> 98.3 (98.8) </td> <td> 93.4 (98.2) </td> </tr> <tr> <td> Complex V </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> atp1 </td> <td> 10 </td> <td> 21 </td> <td> 2926 </td> <td> 10 </td> <td> 8 (1) </td> <td> 99.7 </td> <td> 72.4 (95.5) </td> <td> 99.4 (99.6) </td> <td> 86.0 (97.6) </td> </tr> <tr> <td> atp4 </td> <td> 7 </td> <td> 51 </td> <td> 730 </td> <td> 21 </td> <td> 18 (8) </td> <td> 97.2 </td> <td> 73.9 (86.4) </td> <td> 95.2 (96.4) </td> <td> 85.6 (91.8) </td> </tr> <tr> <td> atp6 </td> <td> 12 </td> <td> 88 </td> <td> 1893 </td> <td> 11 </td> <td> 10 (2) </td> <td> 99.4 </td> <td> 89.8 (97.8) </td> <td> 99.0 (99.3) </td> <td> 94.6 (98.6) </td> </tr> <tr> <td> atp8 </td> <td> 8 </td> <td> 16 </td> <td> 757 </td> <td> 10 </td> <td> 10 (2) </td> <td> 98.7 </td> <td> 61.5 (88.9) </td> <td> 97.5 (98.5) </td> <td> 80.1 (93.8) </td> </tr> <tr> <td> atp9 </td> <td> 19 </td> <td> 91 </td> <td> 792 </td> <td> 1 </td> <td> 17 (0) </td> <td> 99.9 </td> <td> 84.3 (100.0) </td> <td> 98.0 (99.9) </td> <td> 92.1 (99.9) </td> </tr> <tr> <td> Cytochrome </td> <td> c biogenesis </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> ccmB </td> <td> 9 </td> <td> 216 </td> <td> 1013 </td> <td> 14 </td> <td> 63 (6) </td> <td> 98.6 </td> <td> 77.4 (97.3) </td> <td> 94.1 (98.4) </td> <td> 88.0 (98.0) </td> </tr> <tr> <td> ccmC </td> <td> 9 </td> <td> 187 </td> <td> 1212 </td> <td> 24 </td> <td> 26 (1) </td> <td> 98.1 </td> <td> 87.8 (99.5) </td> <td> 96.5 (98.2) </td> <td> 92.9 (98.8) </td> </tr> <tr> <td> ccmFc </td> <td> 6 </td> <td> 84 </td> <td> 1631 </td> <td> 23 </td> <td> 30 (10) </td> <td> 98.6 </td> <td> 73.7 (89.4) </td> <td> 97.0 (98.1) </td> <td> 86.1 (94.0) </td> </tr> <tr> <td> ccmFn </td> <td> 6 </td> <td> 155 </td> <td> 2249 </td> <td> 39 </td> <td> 38 (21) </td> <td> 98.3 </td> <td> 80.3 (88.1) </td> <td> 96.9 (97.6) </td> <td> 89.3 (93.2) </td> </tr> <tr> <td colspan="2"> Ribosomal proteins </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> rpl2 </td> <td> 4 </td> <td> 2 </td> <td> 1057 </td> <td> 14 </td> <td> 6 (4) </td> <td> 98.7 </td> <td> 25.0 (33.3) </td> <td> 98.1 (98.3) </td> <td> 61.8 (66.0) </td> </tr> <tr> <td> rpl5 </td> <td> 9 </td> <td> 45 </td> <td> 919 </td> <td> 14 </td> <td> 5 (3) </td> <td> 98.5 </td> <td> 90.0 </td> <td> 98.1 (98.3) </td> <td> 94.2 (96.1) </td> </tr> <tr> <td> rpl6 </td> <td> 3 </td> <td> 0 </td> <td> 138 </td> <td> 3 </td> <td> 0 (0) </td> <td> 97.9 </td> <td> - </td> <td> 97.9 (97.9) </td> <td> - </td> </tr> <tr> <td> rpl16 </td> <td> 9 </td> <td> 33 </td> <td> 692 </td> <td> 6 </td> <td> 13 (2) </td> <td> 99.1 </td> <td> 71.7 (94.3) </td> <td> 97.4 (98.9) </td> <td> 85.4 (96.7) </td> </tr> <tr> <td> rps1 </td> <td> 3 </td> <td> 2 </td> <td> 295 </td> <td> 4 </td> <td> 5 (5) </td> <td> 98.7 </td> <td> 28.6 (28.6) </td> <td> 97.1 (97.1) </td> <td> 63.6 (63.6) </td> </tr> <tr> <td> rps2 </td> <td> 7 </td> <td> 25 </td> <td> 1489 </td> <td> 15 </td> <td> 7 (5) </td> <td> 99.0 </td> <td> 78.1 (83.3) </td> <td> 98.6 (98.7) </td> <td> 88.6 (91.2) </td> </tr> <tr> <td> rps3 </td> <td> 7 </td> <td> 54 </td> <td> 2183 </td> <td> 19 </td> <td> 33 (11) </td> <td> 99.1 </td> <td> 62.1 (83.1) </td> <td> 97.7 (98.7) </td> <td> 80.6 (91.1) </td> </tr> <tr> <td> rps4 </td> <td> 6 </td> <td> 83 </td> <td> 1116 </td> <td> 22 </td> <td> 18 (6) </td> <td> 98.1 </td> <td> 82.2 (93.3) </td> <td> 96.8 (97.7) </td> <td> 90.1 (95.7) </td> </tr> <tr> <td> rps7 </td> <td> 8 </td> <td> 6 </td> <td> 664 </td> <td> 19 </td> <td> 2 (1) </td> <td> 97.2 </td> <td> 75.0 (85.7) </td> <td> 97.0 (97.1) </td> <td> 86.1 (91.5) </td> </tr> <tr> <td> rps10 </td> <td> 5 </td> <td> 8 </td> <td> 266 </td> <td> 9 </td> <td> 0 (0) </td> <td> 96.7 </td> <td> 100.0 (100.0) </td> <td> 96.8 (96.8) </td> <td> 98.4 (98.4) </td> </tr> <tr> <td> rps11 </td> <td> 3 </td> <td> 0 </td> <td> 222 </td> <td> 1 </td> <td> 0 (0) </td> <td> 99.6 </td> <td> - </td> <td> 99.6 (99.6) </td> <td> - </td> </tr> <tr> <td> rps12 </td> <td> 17 </td> <td> 87 </td> <td> 1142 </td> <td> 13 </td> <td> 5 (1) </td> <td> 98.9 </td> <td> 94.6 (98.9) </td> <td> 98.6 (98.9) </td> <td> 96.7 (98.9) </td> </tr> <tr> <td> rps13 </td> <td> 10 </td> <td> 34 </td> <td> 554 </td> <td> 8 </td> <td> 5 (2) </td> <td> 98.6 </td> <td> 87.2 (94.4) </td> <td> 97.8 (98.3) </td> <td> 92.9 (96.5) </td> </tr> <tr> <td> rps14 </td> <td> 5 </td> <td> 2 </td> <td> 239 </td> <td> 7 </td> <td> 0 (0) </td> <td> 97.2 </td> <td> 100.0 (100.0) </td> <td> (97.2) (97.2) </td> <td> 98.6 (98.6) </td> </tr> <tr> <td> rps19 </td> <td> 6 </td> <td> 16 </td> <td> 242 </td> <td> 11 </td> <td> 9 (3) </td> <td> 95.7 </td> <td> 64.0 (84.2) </td> <td> 92.8 (94.9) </td> <td> 79.8 (89.9) </td> </tr> <tr> <td> Other </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> matR </td> <td> 8 </td> <td> 73 </td> <td> 4109 </td> <td> 30 </td> <td> 20 (7) </td> <td> 99.3 </td> <td> 78.5 (91.3) </td> <td> 98.8 (99.1) </td> <td> 88.9 (95.3) </td> </tr> <tr> <td> mttB </td> <td> 8 </td> <td> 100 </td> <td> 1087 </td> <td> 41 </td> <td> 23 (12) </td> <td> 96.4 </td> <td> 81.3 (89.3) </td> <td> 94.9 (95.7) </td> <td> 88.8 (92.8) </td> </tr> <tr> <td> Overall </td> <td> 370 </td> <td> 3,038 </td> <td> 55,956 </td> <td> 609 </td> <td> 660 (171) </td> <td> 98.9 </td> <td> 82.2 (94.7) </td> <td> 97.9 (98.7) </td> <td> 90.5 (96.8) </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Gene </th> <th> Species </th> <th> TP </th> <th> FP </th> <th> FN </th> <th> Score </th> </tr> <tr> <td> atp1 </td> <td> Secale cereale </td> <td> 0 </td> <td> 5 </td> <td> 1 (0) </td> <td> 0.96 </td> </tr> <tr> <td> cox3 </td> <td> Oryza sativa </td> <td> 1 </td> <td> 13 </td> <td> 0 (0) </td> <td> 0.93 </td> </tr> <tr> <td> rpl2 </td> <td> Arabidopsis thaliana </td> <td> 0 </td> <td> 3 </td> <td> 1 (0) </td> <td> 0.78 </td> </tr> <tr> <td> four rpl2 </td> <td> Brassica napus </td> <td> 1 </td> <td> 3 </td> <td> 1 (0) </td> <td> 0.78 </td> </tr> <tr> <td> rpl2 </td> <td> Oenothera berteriana </td> <td> 1 </td> <td> 5 </td> <td> 3 (3) </td> <td> 0.67 </td> </tr> <tr> <td> rpl2 </td> <td> Oryza sativa </td> <td> 0 </td> <td> 3 </td> <td> 1 (1) </td> <td> 0.67 </td> </tr> <tr> <td> rps1 </td> <td> Oenothera berteriana </td> <td> 0 </td> <td> 3 </td> <td> 0 (0) </td> <td> 1.00 </td> </tr> <tr> <td> rps7 </td> <td> Arabidopsis thaliana </td> <td> 0 </td> <td> 2 </td> <td> 0 (0) </td> <td> 0.93 </td> </tr> <tr> <td> rps12 </td> <td> Oryza sativa </td> <td> 0 </td> <td> 6 </td> <td> 0 (0) </td> <td> 0.95 </td> </tr> <tr> <td rowspan="2"> rps14 of </td> <td> Brassica napus </td> <td> 0 </td> <td> 3 </td> <td> 0 (0) </td> <td> 0.67 </td> </tr> <tr> <td> Gymnocladus dioica </td> <td> 0 </td> <td> 4 </td> <td> 0 (0) </td> <td> 0.68 </td> </tr> <tr> <td> sdh4 </td> <td> Podophyllum peltatum </td> <td> 1 </td> <td> 4 </td> <td> 4 (0) </td> <td> 0.68 </td> </tr> <tr> <td> Overall </td> <td> </td> <td> 4 </td> <td> 54 </td> <td> 11 (4) </td> <td> 0.83 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Mantoux </th> <th> Children </th> <th colspan="3"> Evaluation of scar formation [n (%)] </th> </tr> <tr> <th> Induration (mm) </th> <th> n </th> <th> Real scar (&gt;2 mm) </th> <th> (≤ Tiny scar 2 mm) </th> <th> No scar (?) </th> </tr> <tr> <td> Negative (0–3,9) </td> <td> 43 </td> <td> 17 (39.5)* </td> <td> 20 (46.5)**,*** </td> <td> 6 (14)***,*** </td> </tr> <tr> <td> Weak positive (4–5,9) </td> <td> 45 </td> <td> 32 (71.1) </td> <td> 13 (28.9)**,*** </td> <td> 0 (0)***,*** </td> </tr> <tr> <td> Positive (&gt;6) </td> <td> 1036 </td> <td> 1030 (99.4)* </td> <td> 6 (0.6)***,*** </td> <td> 0 (0)***,*** </td> </tr> <tr> <td> Total </td> <td> 1124 </td> <td> 1079 (96.0) </td> <td> 39 (3.5) </td> <td> 6 (0.5) </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Method </th> <th> ref1 </th> <th> ref2 </th> <th> ref3 </th> <th> Total </th> </tr> <tr> <td> DIALIGN-T </td> <td> 82.28% </td> <td> 78.36% </td> <td> 79.71% </td> <td> 80.12% </td> </tr> <tr> <td> DIALIGN 2.2 </td> <td> 79.46% </td> <td> 77.82% </td> <td> 78.24% </td> <td> 78.51% </td> </tr> <tr> <td> T-COFFEE 1.37 </td> <td> 75.35% </td> <td> 66.60% </td> <td> 69.21% </td> <td> 70.19% </td> </tr> <tr> <td> PROBCONS 1.09 </td> <td> 33.13% </td> <td> 37.95% </td> <td> 51.26% </td> <td> 40.78% </td> </tr> <tr> <td> POA V2 </td> <td> 73.00% </td> <td> 12.46% </td> <td> 07.45% </td> <td> 30.97% </td> </tr> <tr> <td> MUSCLE 3.5 </td> <td> 09.41% </td> <td> 10.89% </td> <td> 22.37% </td> <td> 14.22% </td> </tr> <tr> <td> CLUSTAL W 1.83 </td> <td> 00.00% </td> <td> 00.83% </td> <td> 05.14% </td> <td> 01.92% </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Method </th> <th> ref1 </th> <th> ref2 </th> <th> ref3 </th> <th> ref4 </th> <th> ref5 </th> <th> Total </th> </tr> <tr> <td> DIALIGN-T </td> <td> 82.76% </td> <td> 91.28% </td> <td> 75.34% </td> <td> 86.43% </td> <td> 93.30% </td> <td> 84.69% </td> </tr> <tr> <td> DIALIGN 2.2 </td> <td> 81.40% </td> <td> 89.56% </td> <td> 68.93% </td> <td> 91.24% </td> <td> 94.14% </td> <td> 83.59% </td> </tr> <tr> <td> T-COFFEE 1.37 </td> <td> 84.67% </td> <td> 93.24% </td> <td> 80.32% </td> <td> 75.80% </td> <td> 96.20% </td> <td> 85.95% </td> </tr> <tr> <td> PROBCONS 1.09 </td> <td> 90.37% </td> <td> 94.61% </td> <td> 84.34% </td> <td> 89.20% </td> <td> 98.07% </td> <td> 91.11% </td> </tr> <tr> <td> POA V2 </td> <td> 74.66% </td> <td> 88.32% </td> <td> 63.14% </td> <td> 82.62% </td> <td> 76.71% </td> <td> 76.76% </td> </tr> <tr> <td> MUSCLE 3.5 </td> <td> 88.25% </td> <td> 93.59% </td> <td> 82.36% </td> <td> 85.62% </td> <td> 97.80% </td> <td> 89.21% </td> </tr> <tr> <td> CLUSTAL W 1.83 </td> <td> 86.43% </td> <td> 93.22% </td> <td> 75.79% </td> <td> 81.09% </td> <td> 86.10% </td> <td> 86.15% </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Method </th> <th> ref1 </th> <th> ref2 </th> <th> ref3 </th> <th> Total </th> </tr> <tr> <td> DIALIGN 2.2 </td> <td> 20.00%+ </td> <td> 23.33%0 </td> <td> 23.33%+ </td> <td> 22.22%+ </td> </tr> <tr> <td> T-COFFEE 1.37 </td> <td> 40.00%0 </td> <td> 31.67%+ </td> <td> 41.67%+ </td> <td> 37.78%+ </td> </tr> <tr> <td> PROBCONS 1.09 </td> <td> 20.00%+ </td> <td> 15.00%+ </td> <td> 21.67%+ </td> <td> 18.89%+ </td> </tr> <tr> <td> POA V2 </td> <td> 16.67%+ </td> <td> 0.00%+ </td> <td> 0.00%+ </td> <td> 5.55%+ </td> </tr> <tr> <td> MUSCLE 3.5 </td> <td> 5.00%+ </td> <td> 5.00%+ </td> <td> 0.00%+ </td> <td> 3.33%+ </td> </tr> <tr> <td> CLUSTAL W 1.83 </td> <td> 0.00%+ </td> <td> 0.00%0 </td> <td> 0.00%0 </td> <td> 0.0%+ </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Method </th> <th> ref1 </th> <th> ref2 </th> <th> ref3 </th> <th> Total </th> </tr> <tr> <td> DIALIGN 2.2 </td> <td> 11.67%+ </td> <td> 21.67%0 </td> <td> 23.33%+ </td> <td> 18.89%+ </td> </tr> <tr> <td> T-COFFEE 1.37 </td> <td> 36.67%0 </td> <td> 30.00%+ </td> <td> 26.67%+ </td> <td> 31.11%+ </td> </tr> <tr> <td> PROBCONS 1.09 </td> <td> 18.33%+ </td> <td> 01.67%+ </td> <td> 16.67%+ </td> <td> 16.67%+ </td> </tr> <tr> <td> POA V2 </td> <td> 15.00%+ </td> <td> 00.00%+ </td> <td> 00.00%+ </td> <td> 05.00%+ </td> </tr> <tr> <td> MUSCLE 3.5 </td> <td> 05.00%+ </td> <td> 05.00%+ </td> <td> 00.00%+ </td> <td> 03.33%+ </td> </tr> <tr> <td> CLUSTAL W 1.83 </td> <td> 00.00%+ </td> <td> 00.00%+ </td> <td> 00.00%+ </td> <td> 00.00%+ </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Pfam </th> <th> Type </th> <th> SCOP </th> </tr> <tr> <td> DHH </td> <td> Family </td> <td> c.107.1.1; c.107.1.2 </td> </tr> <tr> <td> OsmC </td> <td> Family </td> <td> d.227.1.2; d.227.1.1 </td> </tr> <tr> <td> Pec_lyase_C </td> <td> Domain </td> <td> b.80.1.2; b.80.1.1 </td> </tr> <tr> <td> Glyoxalase </td> <td> Domain </td> <td> d.32.1.3; d.32.1.1; d.32.1.4; d.32.1.2 </td> </tr> <tr> <td> TOBE </td> <td> Domain </td> <td> b.40.6.1; b.40.6.3; b.40.6.2 </td> </tr> <tr> <td> HhH-GPD </td> <td> Domain </td> <td> a.96.1.2; a.96.1.3; a.96.1.1 </td> </tr> <tr> <td> NAD_binding_1 </td> <td> Domain </td> <td> c.25.1.4; c.25.1.1; c.25.1.5; c.25.1.2 </td> </tr> <tr> <td> Glyco_hydro_15 </td> <td> Family </td> <td> a.102.1.1; a.102.1.5 </td> </tr> <tr> <td> Ricin_B_lectin </td> <td> Repeat </td> <td> b.42.2.1; b.42.2.2 </td> </tr> <tr> <td> Prenyltrans </td> <td> Repeat </td> <td> a.102.4.3; a.102.4.2 </td> </tr> <tr> <td> HHH </td> <td> Motif </td> <td> a.60.2.1; a.60.4.1; a.60.2.3; a.60.2.2 </td> </tr> </table>

<table border="1" class="dataframe"><tr><td>Signs and symptoms of HF</td><td>Effort dyspnoea, Hortopnoea, III-IV tones, Pulmonary rales</td></tr><tr><td>Normal or mildly reduced LV systolic function</td><td>≥ EF 45 % e LVIDDi &gt; 3.2 cm·m -2</td></tr><tr><td>Evidence of abnormalities LV of relaxation/filling and/or distensibility</td><td>IVRT &gt; 92 ms, &gt; 100 ms, &gt; 105 msc &lt;30 years 30–50 years &gt;50 years E/A&lt;1 + DT&gt;220 ms + S/D&lt;1.5 &lt;50 years E/A&lt;0.5 + DT&gt;280 msec + S/S&gt;2.5 &gt;-50 years</td></tr></table>

<table border="1" class="dataframe"> <tr> <th> Event </th> <th colspan="2"> Happened to Me </th> <th colspan="2"> Happened to Someone I Know Well </th> </tr> <tr> <th> </th> <th> Number </th> <th> % </th> <th> Number </th> <th> % </th> </tr> <tr> <td> Badly bitten by a dog or another animal </td> <td> 8 </td> <td> 13.8 </td> <td> 15 </td> <td> 25.9 </td> </tr> <tr> <td> Badly scared or hurt by a gang or criminal </td> <td> 4 </td> <td> 6.9 </td> <td> 17 </td> <td> 29.3 </td> </tr> <tr> <td> Badly beaten </td> <td> 1 </td> <td> 1.7 </td> <td> 14 </td> <td> 24.1 </td> </tr> <tr> <td> Shot or stabbed </td> <td> 0 </td> <td> 0 </td> <td> 16 </td> <td> 27.6 </td> </tr> <tr> <td> Terrible fire or explosion </td> <td> 0 </td> <td> 0 </td> <td> 7 </td> <td> 12.1 </td> </tr> <tr> <td> Chemical or other deadly poisoning </td> <td> 1 </td> <td> 1.7 </td> <td> 4 </td> <td> 6.9 </td> </tr> <tr> <td> Bad storm, flood, tornado, hurricane or earthquake </td> <td> 2 </td> <td> 3.4 </td> <td> 6 </td> <td> 10.3 </td> </tr> <tr> <td> Bad car, boat, bike, train, or plane accident </td> <td> 3 </td> <td> 5.2 </td> <td> 18 </td> <td> 31 </td> </tr> <tr> <td> Other very bad accident </td> <td> 5 </td> <td> 8.6 </td> <td> 9 </td> <td> 15.5 </td> </tr> <tr> <td> Got sick and almost died or died </td> <td> 5 </td> <td> 8.6 </td> <td> 28 </td> <td> 48.3 </td> </tr> <tr> <td> Kidnapped or held captive </td> <td> 0 </td> <td> 0 </td> <td> 5 </td> <td> 8.6 </td> </tr> <tr> <td> Suicide attempt or died from suicide </td> <td> 4 </td> <td> 6.9 </td> <td> 19 </td> <td> 32.8 </td> </tr> <tr> <td> I was taken away from my family </td> <td> 1 </td> <td> 1.7 </td> <td> </td> <td> </td> </tr> <tr> <td> I saw something terrible happen to a stranger </td> <td> 16 </td> <td> 27.6 </td> <td> </td> <td> </td> </tr> <tr> <td> Other shocking or terrifying event </td> <td> 5 </td> <td> 8.6 </td> <td> 2 </td> <td> 3.4 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th colspan="2"> Rate of PTSD symptoms on the K-SADS </th> <th colspan="2"> Rate of PTSD symptoms on the CATS </th> </tr> <tr> <th> symptom </th> <th> % </th> <th> symptom </th> <th> % </th> </tr> <tr> <td> </td> <td colspan="2"> Comparable </td> <td> </td> </tr> <tr> <td> Recurrent thoughts or images of events </td> <td> 28 </td> <td> I go over and over what happened in my mind </td> <td> 40 </td> </tr> <tr> <td> Efforts to avoid thoughts or images associated with the trauma </td> <td> 28 </td> <td> I try not to think about what happened </td> <td> 47 </td> </tr> <tr> <td> Insomnia </td> <td> 22 </td> <td> I sleep poorly </td> <td> 26 </td> </tr> <tr> <td> Irritability or outbursts of anger </td> <td> 24 </td> <td> I am grouch and irritable </td> <td> 36 </td> </tr> <tr> <td> Distress at reminders of event </td> <td> 16 </td> <td> When something reminds me of what happened I get tense and upset </td> <td> 21 </td> </tr> <tr> <td> Exaggerated startle response </td> <td> 17 </td> <td> I am jumpy and nervous </td> <td> 29 </td> </tr> <tr> <td> Nightmares </td> <td> 16 </td> <td> I have bad dreams about what happened </td> <td> 9 </td> </tr> <tr> <td> Difficulty concentrating </td> <td> 19 </td> <td> I have trouble keeping my mind on things </td> <td> 28 </td> </tr> <tr> <td> Efforts to avoid activities or situations that arouse recollections of the trauma </td> <td> 21 </td> <td> I try to stay away from things that remind me of what happened </td> <td> 21 </td> </tr> <tr> <td> </td> <td colspan="2"> Non-comparable </td> <td> </td> </tr> <tr> <td> Sense of foreshortened future </td> <td> 3 </td> <td> I worry that what happened will happen again </td> <td> 57 </td> </tr> <tr> <td> Feelings of detachment or estrangement </td> <td> 21 </td> <td> I get scared when I think about what happened </td> <td> 38 </td> </tr> <tr> <td> Inability to recall important aspects of the trauma </td> <td> 10 </td> <td> I have unwanted thoughts about what happened </td> <td> 21 </td> </tr> <tr> <td> Restricted affect </td> <td> 28 </td> <td> </td> <td> </td> </tr> <tr> <td> Hypervigilance </td> <td> 17 </td> <td> </td> <td> </td> </tr> <tr> <td> Physiological reactivity upon exposure to reminders </td> <td> 9 </td> <td> </td> <td> </td> </tr> <tr> <td> Dissociative episodes, illusions or hallucinations </td> <td> 21 </td> <td> </td> <td> </td> </tr> <tr> <td> Diminished interest in activities </td> <td> 22 </td> <td> </td> <td> </td> </tr> <tr> <td> Repetitive play related to event / reenactment </td> <td> 2 </td> <td> </td> <td> </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> PTSD Symptom </th> <th> </th> <th> </th> <th> </th> <th colspan="2"> 95% Confidence Interval </th> </tr> <tr> <th> </th> <th> </th> <th> Observed Kappa </th> <th> Standard Error </th> <th> Lower Limit </th> <th> Upper Limit </th> </tr> <tr> <td rowspan="3"> Recurrent thoughts or images of event </td> <td> (i) </td> <td> 0.02 </td> <td> 0.14 </td> <td> -0.31 </td> <td> 0.26 </td> </tr> <tr> <td> (ii) </td> <td> -0.57 </td> <td> 0.22 </td> <td> -1.01 </td> <td> -0.13 </td> </tr> <tr> <td> (iii) </td> <td> 0.01 </td> <td> 0.18 </td> <td> -0.33 </td> <td> 0.35 </td> </tr> <tr> <td rowspan="3"> Trying not to think about the event </td> <td> (i) </td> <td> 0.25 </td> <td> 0.13 </td> <td> -0.003 </td> <td> 0.51 </td> </tr> <tr> <td> (ii) </td> <td> -0.14 </td> <td> 0.56 </td> <td> -1.24 </td> <td> 0.96 </td> </tr> <tr> <td> (iii) </td> <td> 0.07 </td> <td> 0.17 </td> <td> -0.26 </td> <td> 0.41 </td> </tr> <tr> <td rowspan="3"> Sleep problems </td> <td> (i) </td> <td> 0.44 </td> <td> 0.15 </td> <td> 0.15 </td> <td> 0.72 </td> </tr> <tr> <td> (ii) </td> <td> 0.61 </td> <td> 0.25 </td> <td> 0.11 </td> <td> 1 </td> </tr> <tr> <td> (iii) </td> <td> 0.16 </td> <td> 0.23 </td> <td> -0.3 </td> <td> 0.62 </td> </tr> <tr> <td rowspan="3"> Anger and irritability </td> <td> (i) </td> <td> 0.24 </td> <td> 0.14 </td> <td> -0.05 </td> <td> 0.52 </td> </tr> <tr> <td> (ii) </td> <td> 0.24 </td> <td> 0.3 </td> <td> -0.35 </td> <td> 0.83 </td> </tr> <tr> <td> (iii) </td> <td> 0.13 </td> <td> 0.19 </td> <td> -0.24 </td> <td> 0.49 </td> </tr> <tr> <td rowspan="3"> Distress at reminders of event </td> <td> (i) </td> <td> 0.48 </td> <td> 0.16 </td> <td> 0.17 </td> <td> 0.79 </td> </tr> <tr> <td> (ii) </td> <td> 0.44 </td> <td> 0.28 </td> <td> -0.1 </td> <td> 0.98 </td> </tr> <tr> <td> (iii) </td> <td> 0.17 </td> <td> 0.29 </td> <td> -0.4 </td> <td> 0.74 </td> </tr> <tr> <td rowspan="3"> Exaggerated startle response </td> <td> (i) </td> <td> 0.39 </td> <td> 0.15 </td> <td> 0.09 </td> <td> 0.68 </td> </tr> <tr> <td> (ii) </td> <td> 0.3 </td> <td> 0.35 </td> <td> -0.38 </td> <td> 0.98 </td> </tr> <tr> <td> (iii) </td> <td> 0 </td> <td> 0.3 </td> <td> -0.59 </td> <td> 0.59 </td> </tr> <tr> <td rowspan="3"> Nightmares </td> <td> (i) </td> <td> 0.2 </td> <td> 0.23 </td> <td> -0.26 </td> <td> 0.65 </td> </tr> <tr> <td> (ii) </td> <td> 0.23 </td> <td> 0.26 </td> <td> -0.28 </td> <td> 0.73 </td> </tr> <tr> <td> (iii) </td> <td> -0.05 </td> <td> 0.45 </td> <td> -0.93 </td> <td> 0.82 </td> </tr> <tr> <td rowspan="3"> Difficulty concentrating </td> <td> (i) </td> <td> 0.19 </td> <td> 0.17 </td> <td> -0.04 </td> <td> 0.51 </td> </tr> <tr> <td> (ii) </td> <td> 0.35 </td> <td> 0.26 </td> <td> -0.15 </td> <td> 0.86 </td> </tr> <tr> <td> (iii) </td> <td> 0.03 </td> <td> 0.23 </td> <td> -0.41 </td> <td> 0.48 </td> </tr> <tr> <td rowspan="3"> Efforts to avoid reminders of event </td> <td> (i) </td> <td> 0.27 </td> <td> 0.15 </td> <td> -0.03 </td> <td> 0.56 </td> </tr> <tr> <td> (ii) </td> <td> -0.31 </td> <td> 0.3 </td> <td> -0.89 </td> <td> 0.28 </td> </tr> <tr> <td> (iii) </td> <td> 0.34 </td> <td> 0.18 </td> <td> -0.02 </td> <td> 0.7 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> </th> <th rowspan="3"> Interested (n = 225) % </th> <th rowspan="3"> Non-interested (n = 553) % </th> <th rowspan="3"> OR (95% CI)1) </th> </tr> <tr> <th> </th> </tr> <tr> <th> </th> </tr> <tr> <td> Physician visit in past year </td> <td> 76 </td> <td> 68 </td> <td> 1.53 (1.06–2.20) </td> </tr> <tr> <td> Gynaecologist visit in past year </td> <td> 53 </td> <td> 39 </td> <td> 1.40 (1.01–1.94) </td> </tr> <tr> <td> Used calcium drugs in last 2 weeks </td> <td> 32 </td> <td> 23 </td> <td> 1.49 (1.04–2.13) </td> </tr> <tr> <td> Used PHT at some time 2) </td> <td> 26 </td> <td> 11 </td> <td> 2.62 (1.58–4.35) </td> </tr> <tr> <td> Used PHT at some time 3) </td> <td> 16 </td> <td> 8 </td> <td> 2.05 (1.26–3.35) </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Complication </th> <th> Patients (n) </th> </tr> <tr> <td> Pin site infection grade 2 [13] </td> <td> 5 </td> </tr> <tr> <td> Loose pin at removal of fixator/pins </td> <td> 6 </td> </tr> <tr> <td> Septic arthritis </td> <td> 1 </td> </tr> <tr> <td> Deep venous thrombosis </td> <td> 2 </td> </tr> <tr> <td> Loss of correction </td> <td> 1 </td> </tr> <tr> <td> Pseudoarthrosis </td> <td> 1 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="5"> Univeriate analysis </th> <th colspan="3"> Multivariate analysisII </th> </tr> <tr> <th> Predictor Variable </th> <th> Na </th> <th> Cb </th> <th> (95% CI) </th> <th> pc </th> <th> R2 adjd </th> <th> Cb </th> <th> (95% CI) </th> <th> pc </th> </tr> <tr> <td> Age (year) </td> <td> 52 </td> <td> 0.27 </td> <td> (-0.62–1.17) </td> <td> 0.54 </td> <td> 0% </td> <td> </td> <td> Not included </td> <td> </td> </tr> <tr> <td> BMI (kg/m2) </td> <td> 48 </td> <td> 0.62 </td> <td> (-0.89–2.12) </td> <td> 0.41 </td> <td> 0% </td> <td> </td> <td> Not included </td> <td> </td> </tr> <tr> <td> Preop pain (0–100) </td> <td> 52 </td> <td> '-0.61 </td> <td> (-0.92–-0.29) </td> <td> 0.0003 </td> <td> 21% </td> <td> '-0.6 </td> <td> (-0.9–-0.2,8) </td> <td> 0.0004 </td> </tr> <tr> <td> Sex </td> <td> 52 </td> <td> 1.42 </td> <td> (-10.77–13.6) </td> <td> 0.82 </td> <td> 0% </td> <td> </td> <td> Not included </td> <td> </td> </tr> <tr> <td> 0: female </td> <td> 26 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> 1: male </td> <td> 26 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Acceptable 2 year HKA-angle </td> <td> 42 </td> <td> 8.78 </td> <td> (-12.81–30.38) </td> <td> 0.41 </td> <td> 0% </td> <td> </td> <td> Not included </td> <td> </td> </tr> <tr> <td> 0: no </td> <td> 7 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> 1: yes </td> <td> 37 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Smoker </td> <td> 52 </td> <td> '-0.35 </td> <td> (-15.27–14.56) </td> <td> 0.96 </td> <td> 0% </td> <td> </td> <td> Not included </td> <td> </td> </tr> <tr> <td> 0: no </td> <td> 40 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> 1: yes </td> <td> 12 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Complication </td> <td> 51 </td> <td> '-15.8 </td> <td> (-16.6–7.94) </td> <td> 0.06 </td> <td> 0.5% </td> <td> '-14.7 </td> <td> (-29.4–0.08) </td> <td> 0.05 </td> </tr> <tr> <td> 0: no </td> <td> 43 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> 1: yes </td> <td> 8 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Characteristics </th> <th colspan="5"> Income Quintile </th> <th> P-value </th> </tr> <tr> <th> </th> <th> 1 </th> <th> 2 </th> <th> 3 </th> <th> 4 </th> <th> 5 </th> <th> </th> </tr> <tr> <td> </td> <td> N = 15057 </td> <td> N = 14655 </td> <td> N = 12268 </td> <td> N = 10310 </td> <td> N = 8167 </td> <td> </td> </tr> <tr> <td> Neighborhood Income ($) </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 0.0039 </td> </tr> <tr> <td> Median </td> <td> 16433 </td> <td> 18572 </td> <td> 20256 </td> <td> 22982 </td> <td> 26786 </td> <td> </td> </tr> <tr> <td> Interquartile Range </td> <td> 15408–16988 </td> <td> 18056–19201 </td> <td> 20043–21020 </td> <td> 22186–24258 </td> <td> 25899–29710 </td> <td> </td> </tr> <tr> <td> Mean Age (yr) </td> <td> 78.03+/- 7.65 </td> <td> 77.94+/- 7.55 </td> <td> 78.07+/- 7.59 </td> <td> 78.29+/- 7.58 </td> <td> 78.51+/- 7.72 </td> <td> 0.0370 </td> </tr> <tr> <td> Female sex (%) </td> <td> 47.23 </td> <td> 48.29 </td> <td> 47.21 </td> <td> 49.20 </td> <td> 49.44 </td> <td> 0.0007 </td> </tr> <tr> <td> Comorbid conditions (%) </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Chronic Lung Disease </td> <td> 6.91 </td> <td> 7.55 </td> <td> 6.33 </td> <td> 7.59 </td> <td> 6.61 </td> <td> 0.5382 </td> </tr> <tr> <td> Congestive Heart Failure </td> <td> 4.30 </td> <td> 4.79 </td> <td> 4.73 </td> <td> 4.76 </td> <td> 3.87 </td> <td> 0.4348 </td> </tr> <tr> <td> Ischemic Heart Disease </td> <td> 11.60 </td> <td> 12.90 </td> <td> 14.11 </td> <td> 14.31 </td> <td> 13.22 </td> <td> &lt;0.0001 </td> </tr> <tr> <td> Peripheral Vascular Disease </td> <td> 1.34 </td> <td> 1.30 </td> <td> 1.36 </td> <td> 1.26 </td> <td> 1.04 </td> <td> 0.1003 </td> </tr> <tr> <td> Chronic Renal Failure </td> <td> 0.90 </td> <td> 0.87 </td> <td> 1.04 </td> <td> 1.09 </td> <td> 0.73 </td> <td> 0.9210 </td> </tr> <tr> <td> Diabetes </td> <td> 6.97 </td> <td> 8.02 </td> <td> 7.44 </td> <td> 7.38 </td> <td> 6.09 </td> <td> 0.0199 </td> </tr> <tr> <td> Cancer </td> <td> 2.89 </td> <td> 3.43 </td> <td> 3.73 </td> <td> 3.77 </td> <td> 4.04 </td> <td> &lt;0.0001 </td> </tr> <tr> <td> Charlson score &gt; 1 (%) </td> <td> 28.76 </td> <td> 28.98 </td> <td> 30.91 </td> <td> 31.74 </td> <td> 31.50 </td> <td> &lt;0.0001 </td> </tr> <tr> <td> Specialty of Attending Physician (%): </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> &lt;0.0001 </td> </tr> <tr> <td> General Practice </td> <td> 54.78 </td> <td> 62.27 </td> <td> 56.26 </td> <td> 43.96 </td> <td> 42.07 </td> <td> </td> </tr> <tr> <td> Internal Medicine </td> <td> 26.69 </td> <td> 23.82 </td> <td> 26.18 </td> <td> 34.24 </td> <td> 35.14 </td> <td> </td> </tr> <tr> <td> Respirology </td> <td> 6.16 </td> <td> 5.43 </td> <td> 5.98 </td> <td> 7.19 </td> <td> 8.90 </td> <td> </td> </tr> <tr> <td> Other </td> <td> 12.37 </td> <td> 8.47 </td> <td> 11.57 </td> <td> 14.62 </td> <td> 13.89 </td> <td> </td> </tr> <tr> <td> Teaching Hospital (%) </td> <td> 17.63 </td> <td> 11.31 </td> <td> 17.12 </td> <td> 23.66 </td> <td> 23.58 </td> <td> &lt;0.0001 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Outcome/Treatment N (%) </th> <th colspan="5"> Income Quintile </th> <th> P-value </th> </tr> <tr> <th> </th> <th> 1 </th> <th> 2 </th> <th> 3 </th> <th> 4 </th> <th> 5 </th> <th> </th> </tr> <tr> <td> </td> <td> N = 15057 </td> <td> N = 14655 </td> <td> N = 12268 </td> <td> N = 10310 </td> <td> N = 8167 </td> <td> </td> </tr> <tr> <td> Length of Stay </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 0.1448 </td> </tr> <tr> <td> Mean +/- SD (days) </td> <td> 9.41 +/- 13.0 </td> <td> 8.95 +/- 12.5 </td> <td> 9.54 +/- 13.9 </td> <td> 9.59 +/- 14.0 </td> <td> 9.96 +/- 14.0 </td> <td> </td> </tr> <tr> <td> Median (Interquartile Range) </td> <td> 6 (4–10) </td> <td> 6 (4–10) </td> <td> 6 (4–10) </td> <td> 6 (4–10) </td> <td> 6 (4–11) </td> <td> </td> </tr> <tr> <td> Acute Length of Stay </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 0.2362 </td> </tr> <tr> <td> Mean +/- SD (days) </td> <td> 8.39 +/- 8.52 </td> <td> 7.93 +/- 7.58 </td> <td> 8.29 +/- 8.12 </td> <td> 8.37 +/- 8.44 </td> <td> 8.86 +/- 9.60 </td> <td> </td> </tr> <tr> <td> Median (Interquartile Range) </td> <td> 6 (4–10) </td> <td> 6 (4–10) </td> <td> 6 (4–10) </td> <td> 6 (4–10) </td> <td> 6 (4–11) </td> <td> </td> </tr> <tr> <td> Discharge Destination </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> &lt;0.0001 </td> </tr> <tr> <td> Acute Care Hospital </td> <td> 433 (2.88) </td> <td> 284 (1.94) </td> <td> 224 (1.83) </td> <td> 128 (1.24) </td> <td> 99 (1.21) </td> <td> </td> </tr> <tr> <td> Chronic Care Hospital </td> <td> 263 (1.75) </td> <td> 365 (2.49) </td> <td> 285 (2.32) </td> <td> 211 (2.05) </td> <td> 140 (1.71) </td> <td> </td> </tr> <tr> <td> Rehabilitation Hospital </td> <td> 57 (0.38) </td> <td> 106 (0.72) </td> <td> 92 (0.75) </td> <td> 102 (0.99) </td> <td> 93 (1.14) </td> <td> </td> </tr> <tr> <td> Nursing Home </td> <td> 361 (2.40) </td> <td> 289 (1.97) </td> <td> 229 (1.87) </td> <td> 187 (1.81) </td> <td> 174 (2.13) </td> <td> </td> </tr> <tr> <td> Home Care Program </td> <td> 2101 (13.95) </td> <td> 1890 (12.90) </td> <td> 1754 (14.30) </td> <td> 1561 (15.14) </td> <td> 1123 (13.75) </td> <td> </td> </tr> <tr> <td> Home </td> <td> 11648 (77.36) </td> <td> 11484 (78.36) </td> <td> 9511 (77.53) </td> <td> 7998 (77.58) </td> <td> 6455 (79.04) </td> <td> </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Season correlated with malaria cases in 1800–1870 </th> <th colspan="4"> Source of temperature series </th> </tr> <tr> <th> </th> <th> Helsinki 1830–1870 41 years </th> <th> Tornedalen 1818–1870 53 years </th> <th> Stockholm 1800–1870 71 years </th> <th> St. Petersburg 1806–1870 65 years </th> </tr> <tr> <td> malaria year-1; winter </td> <td> -0.1932 </td> <td> -0.1209 </td> <td> -0.1652 </td> <td> -0.0789 </td> </tr> <tr> <td> malaria year-1; spring </td> <td> -0.0091 </td> <td> -0.0228 </td> <td> 0.0248 </td> <td> -0.0312 </td> </tr> <tr> <td> malaria year-1; summer </td> <td> 0.5120 *** </td> <td> 0.5208 *** </td> <td> 0.4708 *** </td> <td> 0.3981 *** </td> </tr> <tr> <td> malaria year-1; autumn </td> <td> 0.1218 </td> <td> 0.1621 </td> <td> 0.1055 </td> <td> 0.1598 </td> </tr> <tr> <td> malaria year; winter </td> <td> -0.1254 </td> <td> -0.0743 </td> <td> -0.1214 </td> <td> -0.1543 </td> </tr> <tr> <td> malaria year; spring </td> <td> 0.1140 </td> <td> 0.0880 </td> <td> 0.0223 </td> <td> 0.0546 </td> </tr> <tr> <td> malaria year; summer </td> <td> -0.0740 </td> <td> -0.0332 </td> <td> 0.0201 </td> <td> -0.0439 </td> </tr> <tr> <td> malaria year; autumn </td> <td> -0.0831 </td> <td> -0.0819 </td> <td> -0.0211 </td> <td> -0.0797 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Month of preceding year correlated with malaria cases in 1800–1870 </th> <th colspan="4"> Source of temperature series </th> </tr> <tr> <th> </th> <th> Helsinki 1830–1870 41 years </th> <th> Tornedalen 1818–1870 53 years </th> <th> Stockholm 1800–1870 71 years </th> <th> St. Petersburg 1806–1870 65 years </th> </tr> <tr> <td> malaria year-1; May </td> <td> 0.1487 </td> <td> 0.0269 </td> <td> 0.0511 </td> <td> 0.1338 </td> </tr> <tr> <td> malaria year-1; June </td> <td> 0.4301 ** </td> <td> 0.5289 *** </td> <td> 0.3372 ** </td> <td> 0.3587 ** </td> </tr> <tr> <td> malaria year-1; July </td> <td> 0.4628 ** </td> <td> 0.4135 ** </td> <td> 0.4543 *** </td> <td> 0.2888 * </td> </tr> <tr> <td> malaria year-1; August </td> <td> 0.2672° </td> <td> 0.1570 </td> <td> 0.2740 * </td> <td> 0.1793 </td> </tr> <tr> <td> malaria year-1; September </td> <td> 0.1156 </td> <td> 0.0655 </td> <td> 0.0637 </td> <td> 0.0678 </td> </tr> <tr> <td> malaria year-1; October </td> <td> 0.1566 </td> <td> 0.0200 </td> <td> 0.1326 </td> <td> 0.2657 * </td> </tr> <tr> <td> malaria year-1; November </td> <td> 0.1462 </td> <td> 0.1958 </td> <td> 0.0000 </td> <td> 0.0220 </td> </tr> <tr> <td> malaria year-1; December </td> <td> 0.0037 </td> <td> -0.002 </td> <td> -0.1144 </td> <td> -0.1221 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Tortoise no. </th> <th colspan="20"> Nucleotide position </th> <th> Origin </th> <th> 12S haplotype </th> </tr> <tr> <th> </th> <th> </th> <th> </th> <th> </th> <th> </th> <th> 1 </th> <th> 1 </th> <th> 1 </th> <th> 1 </th> <th> 2 </th> <th> 2 </th> <th> 2 </th> <th> 2 </th> <th> 2 </th> <th> 2 </th> <th> 3 </th> <th> 3 </th> <th> 3 </th> <th> 3 </th> <th> 3 </th> <th> 3 </th> <th> </th> <th> </th> </tr> <tr> <td> </td> <td> 4 </td> <td> 4 </td> <td> 5 </td> <td> 9 </td> <td> 1 </td> <td> 7 </td> <td> 7 </td> <td> 9 </td> <td> 0 </td> <td> 0 </td> <td> 3 </td> <td> 4 </td> <td> 5 </td> <td> 9 </td> <td> 1 </td> <td> 1 </td> <td> 2 </td> <td> 3 </td> <td> 7 </td> <td> 7 </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> 8 </td> <td> 9 </td> <td> 8 </td> <td> 9 </td> <td> 3 </td> <td> 0 </td> <td> 4 </td> <td> 3 </td> <td> 1 </td> <td> 8 </td> <td> 6 </td> <td> 4 </td> <td> 8 </td> <td> 4 </td> <td> 3 </td> <td> 6 </td> <td> 2 </td> <td> 2 </td> <td> 5 </td> <td> 7 </td> <td> </td> <td> </td> </tr> <tr> <td> TGKL </td> <td> T </td> <td> T </td> <td> - </td> <td> C </td> <td> A </td> <td> T </td> <td> G </td> <td> A </td> <td> A </td> <td> G </td> <td> A </td> <td> G </td> <td> A </td> <td> A </td> <td> A </td> <td> C </td> <td> A </td> <td> A </td> <td> G </td> <td> C </td> <td> Morocco (Al-Hoceima) </td> <td> Tg1.0 </td> </tr> <tr> <td> 703888 </td> <td> T </td> <td> T </td> <td> - </td> <td> C </td> <td> A </td> <td> T </td> <td> G </td> <td> A </td> <td> A </td> <td> G </td> <td> A </td> <td> G </td> <td> A </td> <td> A </td> <td> A </td> <td> C </td> <td> A </td> <td> A </td> <td> G </td> <td> C </td> <td> Tunisia </td> <td> Tg1.0 </td> </tr> <tr> <td> 704089 </td> <td> T </td> <td> T </td> <td> - </td> <td> C </td> <td> A </td> <td> T </td> <td> G </td> <td> A </td> <td> A </td> <td> G </td> <td> A </td> <td> G </td> <td> A </td> <td> A </td> <td> A </td> <td> C </td> <td> A </td> <td> A </td> <td> G </td> <td> C </td> <td> Morocco </td> <td> Tg1.0 </td> </tr> <tr> <td> SNA1 </td> <td> T </td> <td> T </td> <td> - </td> <td> C </td> <td> A </td> <td> T </td> <td> G </td> <td> A </td> <td> A </td> <td> G </td> <td> A </td> <td> G </td> <td> G </td> <td> A </td> <td> A </td> <td> C </td> <td> A </td> <td> A </td> <td> G </td> <td> C </td> <td> Algeria </td> <td> Tg1.0 </td> </tr> <tr> <td> TGG0042 </td> <td> A </td> <td> C </td> <td> - </td> <td> T </td> <td> A </td> <td> T </td> <td> G </td> <td> A </td> <td> A </td> <td> G </td> <td> G </td> <td> G </td> <td> A </td> <td> A </td> <td> A </td> <td> C </td> <td> A </td> <td> A </td> <td> G </td> <td> C </td> <td> Tunisia (Sibkur) </td> <td> Tg2.0 </td> </tr> <tr> <td> TGG0043 </td> <td> A </td> <td> C </td> <td> - </td> <td> T </td> <td> A </td> <td> T </td> <td> G </td> <td> A </td> <td> A </td> <td> G </td> <td> G </td> <td> G </td> <td> A </td> <td> A </td> <td> A </td> <td> C </td> <td> A </td> <td> A </td> <td> G </td> <td> C </td> <td> Tunisia (Sibkur) </td> <td> Tg2.0 </td> </tr> <tr> <td> TGG0041 </td> <td> A </td> <td> C </td> <td> - </td> <td> T </td> <td> A </td> <td> T </td> <td> G </td> <td> A </td> <td> A </td> <td> G </td> <td> G </td> <td> G </td> <td> A </td> <td> A </td> <td> A </td> <td> C </td> <td> A </td> <td> A </td> <td> G </td> <td> C </td> <td> Tunisia </td> <td> Tg2.0 </td> </tr> <tr> <td> A2SN </td> <td> A </td> <td> C </td> <td> - </td> <td> T </td> <td> A </td> <td> T </td> <td> G </td> <td> A </td> <td> A </td> <td> G </td> <td> G </td> <td> G </td> <td> A </td> <td> A </td> <td> A </td> <td> C </td> <td> A </td> <td> G </td> <td> G </td> <td> C </td> <td> Algeria </td> <td> Tg2.0 </td> </tr> <tr> <td> TGGLY1 </td> <td> A </td> <td> C </td> <td> - </td> <td> C </td> <td> A </td> <td> T </td> <td> A </td> <td> A </td> <td> A </td> <td> G </td> <td> A </td> <td> A </td> <td> A </td> <td> A </td> <td> G </td> <td> C </td> <td> A </td> <td> A </td> <td> G </td> <td> C </td> <td> ? </td> <td> Tg3.0 </td> </tr> <tr> <td> TGLKX </td> <td> A </td> <td> C </td> <td> - </td> <td> C </td> <td> A </td> <td> T </td> <td> A </td> <td> A </td> <td> A </td> <td> G </td> <td> A </td> <td> A </td> <td> A </td> <td> A </td> <td> G </td> <td> C </td> <td> A </td> <td> A </td> <td> G </td> <td> C </td> <td> ? </td> <td> Tg3.1 </td> </tr> <tr> <td> TGLM1 </td> <td> A </td> <td> C </td> <td> - </td> <td> C </td> <td> A </td> <td> T </td> <td> G </td> <td> A </td> <td> A </td> <td> G </td> <td> A </td> <td> A </td> <td> A </td> <td> A </td> <td> A </td> <td> C </td> <td> A </td> <td> A </td> <td> A </td> <td> C </td> <td> Morocco (Laroche) </td> <td> Tg5.1 </td> </tr> <tr> <td> TGLM2 </td> <td> A </td> <td> C </td> <td> - </td> <td> C </td> <td> A </td> <td> T </td> <td> G </td> <td> A </td> <td> A </td> <td> G </td> <td> A </td> <td> A </td> <td> A </td> <td> A </td> <td> A </td> <td> C </td> <td> A </td> <td> A </td> <td> A </td> <td> C </td> <td> Morocco (Laroche) </td> <td> Tg4.2 </td> </tr> <tr> <td> 703157 </td> <td> A </td> <td> C </td> <td> - </td> <td> C </td> <td> A </td> <td> T </td> <td> G </td> <td> A </td> <td> A </td> <td> G </td> <td> A </td> <td> A </td> <td> A </td> <td> A </td> <td> A </td> <td> C </td> <td> A </td> <td> A </td> <td> A </td> <td> C </td> <td> ? </td> <td> Tg4.1 </td> </tr> <tr> <td> TGTURBO </td> <td> A </td> <td> C </td> <td> - </td> <td> C </td> <td> A </td> <td> T </td> <td> G </td> <td> A </td> <td> A </td> <td> G </td> <td> A </td> <td> A </td> <td> A </td> <td> A </td> <td> A </td> <td> C </td> <td> A </td> <td> A </td> <td> A </td> <td> C </td> <td> ? </td> <td> Tg5.0 </td> </tr> <tr> <td> F1621 </td> <td> A </td> <td> C </td> <td> T </td> <td> C </td> <td> C </td> <td> T </td> <td> G </td> <td> A </td> <td> A </td> <td> G </td> <td> G </td> <td> A </td> <td> A </td> <td> A </td> <td> A </td> <td> T </td> <td> A </td> <td> A </td> <td> A </td> <td> C </td> <td> Lebanon </td> <td> Tg6.0 </td> </tr> <tr> <td> HZTGIAN </td> <td> A </td> <td> C </td> <td> - </td> <td> C </td> <td> C </td> <td> T </td> <td> G </td> <td> A </td> <td> A </td> <td> G </td> <td> G </td> <td> A </td> <td> A </td> <td> G </td> <td> A </td> <td> T </td> <td> A </td> <td> A </td> <td> A </td> <td> C </td> <td> South-Turkey </td> <td> Tg6.0 </td> </tr> <tr> <td> TGRW5 </td> <td> A </td> <td> C </td> <td> - </td> <td> C </td> <td> C </td> <td> T </td> <td> G </td> <td> A </td> <td> A </td> <td> G </td> <td> G </td> <td> A </td> <td> A </td> <td> G </td> <td> A </td> <td> T </td> <td> A </td> <td> A </td> <td> G </td> <td> T </td> <td> Israel (Hasharon Park) </td> <td> Tg6.0 </td> </tr> <tr> <td> TGRW4 </td> <td> A </td> <td> C </td> <td> - </td> <td> C </td> <td> C </td> <td> T </td> <td> G </td> <td> A </td> <td> A </td> <td> G </td> <td> G </td> <td> A </td> <td> A </td> <td> G </td> <td> A </td> <td> T </td> <td> A </td> <td> A </td> <td> A </td> <td> T </td> <td> Israel (Golan Heights) </td> <td> Tg6.0 </td> </tr> <tr> <td> TGRW1 </td> <td> A </td> <td> C </td> <td> - </td> <td> C </td> <td> C </td> <td> T </td> <td> G </td> <td> A </td> <td> A </td> <td> G </td> <td> G </td> <td> A </td> <td> A </td> <td> G </td> <td> A </td> <td> T </td> <td> A </td> <td> A </td> <td> A </td> <td> T </td> <td> Israel (Petah Tiqwa) </td> <td> Tg6.0 </td> </tr> <tr> <td> TGRW3 </td> <td> A </td> <td> C </td> <td> - </td> <td> C </td> <td> C </td> <td> T </td> <td> G </td> <td> A </td> <td> T </td> <td> G </td> <td> G </td> <td> A </td> <td> A </td> <td> G </td> <td> A </td> <td> T </td> <td> A </td> <td> A </td> <td> A </td> <td> T </td> <td> Israel (Golan Heights) </td> <td> Tg6.0 </td> </tr> <tr> <td> TGRW2 </td> <td> A </td> <td> C </td> <td> - </td> <td> C </td> <td> C </td> <td> T </td> <td> G </td> <td> A </td> <td> A </td> <td> A </td> <td> G </td> <td> A </td> <td> A </td> <td> A </td> <td> A </td> <td> T </td> <td> A </td> <td> A </td> <td> G </td> <td> T </td> <td> Israel (Petah Tiqwa) </td> <td> Tg6.0 </td> </tr> <tr> <td> 703837 </td> <td> A </td> <td> C </td> <td> - </td> <td> C </td> <td> C </td> <td> C </td> <td> G </td> <td> G </td> <td> A </td> <td> A </td> <td> G </td> <td> G </td> <td> A </td> <td> A </td> <td> A </td> <td> T </td> <td> G </td> <td> A </td> <td> G </td> <td> C </td> <td> ? </td> <td> Tg7.0 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> A. </th> <th colspan="12"> HPV cLIA time (weeks) </th> </tr> <tr> <th> HPV type </th> <th> 0 </th> <th> 2 </th> <th> 4 </th> <th> 8 </th> <th> 10 </th> <th> 12 </th> <th> 16 </th> <th> 20 </th> <th> 24 </th> <th> 26 </th> <th> 28 </th> <th> 52 </th> </tr> <tr> <td> HPV 6 </td> <td> 1.1 </td> <td> 3.2 </td> <td> 2.4 </td> <td> 4.3 </td> <td> 10.0 </td> <td> 12.6 </td> <td> 36.3 </td> <td> 10.9 </td> <td> 6.3 </td> <td> 22.7 </td> <td> 41.9 </td> <td> 4.3 </td> </tr> <tr> <td> HPV 11 </td> <td> 0.8 </td> <td> 2.9 </td> <td> 2.2 </td> <td> 5.5 </td> <td> 23.5 </td> <td> 18.1 </td> <td> 16.2 </td> <td> 8.2 </td> <td> 6.1 </td> <td> 18.4 </td> <td> 36.8 </td> <td> 5.3 </td> </tr> <tr> <td> HPV 16 </td> <td> 1.0 </td> <td> 5.2 </td> <td> 8.8 </td> <td> 8.4 </td> <td> 21.4 </td> <td> 15.7 </td> <td> 16.1 </td> <td> 11.4 </td> <td> 17.7 </td> <td> 4.8 </td> <td> 12.7 </td> <td> 6.4 </td> </tr> <tr> <td> HPV 18 </td> <td> 1.0 </td> <td> 4.8 </td> <td> 13.7 </td> <td> 19.4 </td> <td> 70.5 </td> <td> 18.6 </td> <td> 27.1 </td> <td> 35.4 </td> <td> 26.3 </td> <td> 6.7 </td> <td> 26.8 </td> <td> 26.7 </td> </tr> <tr> <td> B. </td> <td colspan="12"> HPV Total IgG antibodies time (weeks) </td> </tr> <tr> <td> HPV type </td> <td> 0 </td> <td> 2 </td> <td> 4 </td> <td> 8 </td> <td> 10 </td> <td> 12 </td> <td> 16 </td> <td> 20 </td> <td> 24 </td> <td> 26 </td> <td> 28 </td> <td> 52 </td> </tr> <tr> <td> HPV 6 </td> <td> 1.9 </td> <td> 9.5 </td> <td> 9.5 </td> <td> 13.1 </td> <td> 125.0 </td> <td> 328.3 </td> <td> 125.0 </td> <td> 65.7 </td> <td> 34.4 </td> <td> 34.5 </td> <td> 65.7 </td> <td> 18.1 </td> </tr> <tr> <td> HPV 11 </td> <td> 1.9 </td> <td> 13.1 </td> <td> 25.0 </td> <td> 25.0 </td> <td> 125.0 </td> <td> 90.6 </td> <td> 125.0 </td> <td> 47.6 </td> <td> 34.5 </td> <td> 34.5 </td> <td> 90.6 </td> <td> 18.1 </td> </tr> <tr> <td> HPV 16 </td> <td> 0.9 </td> <td> 5.0 </td> <td> 9.5 </td> <td> 6.9 </td> <td> 65.7 </td> <td> 65.7 </td> <td> 90.6 </td> <td> 65.7 </td> <td> 13.1 </td> <td> 13.1 </td> <td> 65.7 </td> <td> 25.0 </td> </tr> <tr> <td> HPV 18 </td> <td> 0.7 </td> <td> 9.5 </td> <td> 13.1 </td> <td> 25.0 </td> <td> 125.0 </td> <td> 47.6 </td> <td> 65.7 </td> <td> 65.7 </td> <td> 25.0 </td> <td> 47.6 </td> <td> 125.0 </td> <td> 90.6 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Index </th> <th> N </th> <th colspan="2"> Groups </th> <th> P &lt; : </th> </tr> <tr> <th> </th> <th> </th> <th> Control (+/+) </th> <th> Diabetes (db/db) </th> <th> </th> </tr> <tr> <td> Body Weight (g) </td> <td> 5 </td> <td> 21 ± 3 </td> <td> 47 ± 5 </td> <td> 0.001 </td> </tr> <tr> <td> Blood Glucose (mg/dl) </td> <td> 5 </td> <td> 103 ± 8 </td> <td> 428 ± 16 </td> <td> 0.001 </td> </tr> <tr> <td> Uterine Weight (mg) </td> <td> 5 </td> <td> 44 ± 3 </td> <td> 13 ± 4 </td> <td> 0.01 </td> </tr> <tr> <td> Serum Triglycerides (mg/ ml) </td> <td> 5 </td> <td> 143 ± 8 </td> <td> 312 ± 24 </td> <td> 0.001 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Source of E. coli </th> <th> Lambda </th> <th> M13 </th> <th> P1 </th> <th> øX174 </th> <th> T4 </th> <th> T7 </th> <th> none </th> </tr> <tr> <td> Mouse feces and GI tracts (n = 22) </td> <td> 0 (0%) </td> <td> 0 (0%) </td> <td> 8 (36%) </td> <td> 3 (14%) </td> <td> 4 (18%) </td> <td> 3 (14%) </td> <td> 13 (59%) </td> </tr> <tr> <td> Human clinical specimens (n=15) </td> <td> 1 (7%) </td> <td> 1 (7%) </td> <td> 6 (40%) </td> <td> 1 (7%) </td> <td> 1 (7%) </td> <td> 2 (13%) </td> <td> 7 (47%) </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Study Group </th> <th> No. </th> <th> 11 </th> <th> 12 </th> <th> 22 </th> <th colspan="3"> 12 + 22 </th> </tr> <tr> <th> </th> <th> </th> <th> n (%) </th> <th> n (%) </th> <th> n (%) </th> <th> n (%) </th> <th> p valuea </th> <th> ORb (95% CI) </th> </tr> <tr> <td> Control </td> <td> 256 </td> <td> 112 (43.8) </td> <td> 115 (44.9) </td> <td> 29 (11.3) </td> <td> 144 (56.2) </td> <td> </td> <td> </td> </tr> <tr> <td> All Breast Cancer </td> <td> 352 </td> <td> 164 (46.6) </td> <td> 150 (42.6) </td> <td> 38 (10.8) </td> <td> 188 (53.4) </td> <td> 0.51 </td> <td> 0.89 (0.64–1.23) </td> </tr> <tr> <td> ≤ Diagnosis 40 years </td> <td> 203 </td> <td> 104 (51.2) </td> <td> 79 (38.9) </td> <td> 20 (9.9) </td> <td> 99 (48.8) </td> <td> 0.13 </td> <td> 0.74 (0.51–1.07 </td> </tr> <tr> <td> Family History </td> <td> 105 </td> <td> 39 (37.1) </td> <td> 53 (50.5) </td> <td> 13 (12.4) </td> <td> 66 (62.9) </td> <td> 0.29 </td> <td> 1.32 (0.83–2.10) </td> </tr> <tr> <td> Bilateral Disease </td> <td> 44 </td> <td> 21 (47.7) </td> <td> 18 (40.9) </td> <td> 5 (11.4) </td> <td> 23 (52.3) </td> <td> 0.63 </td> <td> 0.85 (0.45–1.62) </td> </tr> <tr> <td> All Ovarian Tumours </td> <td> 390 </td> <td> 202 (51.8) </td> <td> 153 (39.2) </td> <td> 35 (9.0) </td> <td> 188 (48.2) </td> <td> 0.05 </td> <td> 0.72 (0.53–0.99) </td> </tr> <tr> <td> All Malignant </td> <td> 313 </td> <td> 157 (50.2) </td> <td> 126 (40.2) </td> <td> 30 (9.6) </td> <td> 156 (49.8) </td> <td> 0.13 </td> <td> 0.77 (0.55–1.08) </td> </tr> <tr> <td> Serous </td> <td> 127 </td> <td> 62 (48.8) </td> <td> 52 (40.9) </td> <td> 13 (10.2) </td> <td> 65 (51.1) </td> <td> 0.38 </td> <td> 0.81 (0.53–1.25) </td> </tr> <tr> <td> Endometrioid </td> <td> 82 </td> <td> 44 (53.6) </td> <td> 29 (35.4) </td> <td> 9 (11.0) </td> <td> 38 (46.4) </td> <td> 0.13 </td> <td> 0.67 (0.41–1.11) </td> </tr> <tr> <td> Mucinous </td> <td> 42 </td> <td> 23 (54.8) </td> <td> 16 (38.1) </td> <td> 3 (7.1) </td> <td> 19 (45.2) </td> <td> 0.24 </td> <td> 0.64 (0.33–1.24) </td> </tr> <tr> <td> Clear Cell </td> <td> 13 </td> <td> 4 (30.8) </td> <td> 8 (61.5) </td> <td> 1 (7.7) </td> <td> 9 (69.2) </td> <td> 0.40 </td> <td> 1.75 (0.52–5.83) </td> </tr> <tr> <td> Adenocarcinoma </td> <td> 49 </td> <td> 24 (49.0) </td> <td> 21 (42.8) </td> <td> 4 (8.2) </td> <td> 25 (51.0) </td> <td> 0.53 </td> <td> 0.81 (0.44–1.49) </td> </tr> <tr> <td> Borderline </td> <td> 15 </td> <td> 6 (40.0) </td> <td> 8 (53.3) </td> <td> 1 (6.7) </td> <td> 9 (60.0) </td> <td> 1.00 </td> <td> 1.16 (0.40–3.37) </td> </tr> <tr> <td> Benign </td> <td> 62 </td> <td> 39 (62.9) </td> <td> 19 (30.6) </td> <td> 4 (6.4) </td> <td> 23 (37.0) </td> <td> 0.007 </td> <td> 0.46 (0.26–0.81) </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Functional type </th> <th> Fluffy tails (F&gt;2) </th> <th> No fluffy tails (F&lt;2) </th> <th> Positive rate </th> <th> Negative rate </th> </tr> <tr> <td> Regulatory regions </td> <td> 51 </td> <td> 9 </td> <td> 85 % </td> <td> 15 % </td> </tr> <tr> <td> Exons </td> <td> 1 </td> <td> 59 </td> <td> 1.6 % </td> <td> 98.4 % </td> </tr> <tr> <td> Non-coding presumed non- regulatory </td> <td> 10 </td> <td> 50 </td> <td> 16 % </td> <td> 84 % </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> </th> <th> Arabidopsis thaliana </th> <th> Haemophilus influenzae </th> <th> Helicobacter pylori 26695 </th> <th> Helicobacter pylori J99 </th> <th> Homo sapien </th> <th> Saccharomyces cerevisiae </th> </tr> <tr> <td> Total Hits In Genome </td> <td> 30,056 </td> <td> 1077 </td> <td> 81 </td> <td> 119 </td> <td> 67,881 </td> <td> 4027 </td> </tr> <tr> <td> Hits With 'Phosphatase' Present In Annotation </td> <td> 267 </td> <td> 1 </td> <td> 0 </td> <td> 0 </td> <td> 535 </td> <td> 51 </td> </tr> <tr> <td> Percentage Of Hits With 'Phosphatase' Where Hit Is In Promoter (3000 Base Pairs Upstream) </td> <td> 53.9 </td> <td> 100 </td> <td> 0 </td> <td> 0 </td> <td> 28.8 </td> <td> 52.9 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> </th> <th> 14,349 Unique NCBI One Term Windows </th> <th> 18,934 Unique NCBI Two Term Windows </th> <th> 24,747 Unique NCBI Three Term Windows </th> </tr> <tr> <td> GO Term Equality </td> <td> 16,001 </td> <td> 9096 </td> <td> 4313 </td> </tr> <tr> <td> GO Term Similarity </td> <td> 16,001 </td> <td> 9096 </td> <td> 4313 </td> </tr> <tr> <td> GO Phrase Similarity </td> <td> 19,137,006 </td> <td> 228,624 </td> <td> 28,556 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Characteristics </th> <th> Stage I </th> <th> Stage II </th> <th> Stage III </th> <th> Stage IV </th> <th> P value </th> </tr> <tr> <td> Age at Cohort Entrance </td> <td> 14.3 ± 2.3 </td> <td> 15.4 ± 2.9 </td> <td> 15.2 ± 2.6 </td> <td> 16 </td> <td> .06 </td> </tr> <tr> <td> Caucasian </td> <td> 3 </td> <td> 9 </td> <td> 10 </td> <td> 1 </td> <td> .73 </td> </tr> <tr> <td> African American </td> <td> 1 </td> <td> 2 </td> <td> 2 </td> <td> 0 </td> <td> .35 </td> </tr> <tr> <td> STD's </td> <td> 0 </td> <td> 2 </td> <td> 2 </td> <td> 0 </td> <td> .50 </td> </tr> <tr> <td> Contraception Use </td> <td> 1 </td> <td> 4 </td> <td> 4 </td> <td> 1 </td> <td> .08 </td> </tr> <tr> <td> Desire for Conception </td> <td> 3 </td> <td> 9 </td> <td> 10 </td> <td> - </td> <td> .73 </td> </tr> <tr> <td> Male Partner's Evaluation </td> <td> 0 </td> <td> 1 </td> <td> 1 </td> <td> - </td> <td> .12 </td> </tr> <tr> <td> Other Therapies Used </td> <td> 1 </td> <td> 2 </td> <td> 3 </td> <td> - </td> <td> .25 </td> </tr> <tr> <td> Age at Stage of Endometriosis </td> <td> 15.2 ± 2.1 </td> <td> 16.8 ± 2.7 </td> <td> 16.7 ± 2.3 </td> <td> 16.9 </td> <td> .535 </td> </tr> <tr> <td> Time Trying to Conceive (Month) </td> <td> 15.1 ± 4.5 </td> <td> 12.8 ± 3.8 </td> <td> 13.1 ± 4.2 </td> <td> - </td> <td> .310 </td> </tr> <tr> <td> Age at Follow-up </td> <td> 22.3 ± 5.4 </td> <td> 24.7 ± 4.6 </td> <td> 25.3 ± 4.9 </td> <td> - </td> <td> .125 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> Level of clinical suspicion </th> <th> Ultrasound </th> <th> No Ultrasound </th> <th> Risk ratio for harm (95% CI) </th> <th> Risk ratio for benefit (95% CI) </th> <th> Odds ratio (95% CI) </th> <th> Risk difference (95% CI) </th> </tr> <tr> <td> All </td> <td> 21/314 (7%) </td> <td> 25/315 (8%) </td> <td> 0.84 (0.48 to 1.47) </td> <td> 1.01 (0.97 to 1.06) </td> <td> 0.83 (0.46 to 1.52) </td> <td> -0.01 (-0.05 to 0.03) </td> </tr> <tr> <td> Strong </td> <td> 7/95 (7%) </td> <td> 11/89 (12%) </td> <td> 0.60 (0.24 to 1.47) </td> <td> 1.06 (0.96 to 1.16) </td> <td> 0.56 (0.21 to 1.53) </td> <td> -0.05 (-0.14 to 0.04) </td> </tr> <tr> <td> Moderate </td> <td> 14/219 (6%) </td> <td> 14/226 (6%) </td> <td> 1.03 (0.50 to 2.11) </td> <td> 1.00 (0.95 to 1.05) </td> <td> 1.03 (0.48 to 2.22) </td> <td> 0.00 (-0.04 to 0.05) </td> </tr> <tr> <td> Test of interaction1 </td> <td> </td> <td> </td> <td> P = 0.35 </td> <td> P = 0.29 </td> <td> P = 0.34 </td> <td> P = 0.30 </td> </tr> </table>

<table border="1" class="dataframe"> <tr> <th> </th> <th> PSZ threshold </th> <th> # phylogenetic motifs </th> <th> # sequences </th> </tr> <tr> <td> # phylogenetic motifs </td> <td> 0.15 </td> <td> </td> <td> </td> </tr> <tr> <td> # sequences </td> <td> 0.08 </td> <td> -0.07 </td> <td> </td> </tr> <tr> <td> MSA length </td> <td> -0.32 </td> <td> 0.68 </td> <td> 0.00 </td> </tr> </table>