Socio-demographic differences between participants with and without information on sexual orientation.

<p>Unweighted frequencies and weighted percentages.</p

Unweighted frequencies and weighted percentages of socio-demographic characteristics, chronic conditions and health-related behaviors of LGB individuals and heterosexual counterparts in the 2011 Barcelona Health Interview Survey.

<p>Unweighted frequencies and weighted percentages of socio-demographic characteristics, chronic conditions and health-related behaviors of LGB individuals and heterosexual counterparts in the 2011 Barcelona Health Interview Survey.</p

Prevalence ratios and 95% Confidence Intervals (65%CI) by sexual orientation for each physical EQ-5D dimension, considering different adjustment variables.

<p>The EQ-5D dimension (dependent variable) was dichotomized into: no problems vs moderate/extreme problems. <b>Model 1:</b> Crude prevalence ratio. <b>Model 2:</b> Adjusted by age and gender. <b>Model 3:</b> Adjusted by age and gender + sociodemographic variables (education level, country of birth, and married or in sentimental partnership). <b>Model 4:</b> Adjusted by age and gender + sociodemographic variables + number of chronic conditions. <b>Model 5:</b> Adjusted by age and gender + sociodemographic variables + number of chronic conditions + health-related behaviors (smoking status, alcohol consumption, and psychoactive drug consumption).</p

Prevalence ratios and 95% Confidence Intervals (65%CI) by sexual orientation for each mental EQ-5D dimension stratified by gender, considering different adjustment variables.

<p>The EQ-5D dimension (dependent variable) was dichotomized into: no problems vs moderate/extreme problems. <b>Model 1:</b> Crude prevalence ratio. <b>Model 2:</b> Adjusted by age and gender. <b>Model 3:</b> Adjusted by age and gender + sociodemographic variables (education level, country of birth, and married or in sentimental partnership). <b>Model 4:</b> Adjusted by age and gender + sociodemographic variables + number of chronic conditions. <b>Model 5:</b> Adjusted by age and gender + sociodemographic variables + number of chronic conditions + health-related behaviors (smoking status, alcohol consumption, and psychoactive drug consumption).</p

Additional file 1: of Economic evaluation of treatments for patients with localized prostate cancer in Europe: a systematic review

MEDLINE, EMBASE and NHS EED (NHS Economic Evaluation Database, CRD York) specific search strategies. (DOC 74 kb

Additional file 2: of Economic evaluation of treatments for patients with localized prostate cancer in Europe: a systematic review

Patient Intervention Comparator Outcome (PICO) strategy. (DOC 33 kb

Regional ancestry of study participants.

<p>Regional ancestry of study participants.</p

Genotype and allelic frequencies of gene polymorphisms in this study.

<p>Statistical differences among genotypes andHardy-Weinberg equilibrium (HWE) are shown. Abbreviations: ns, non-significant. Differences in the genotype distribution were assessed by χ² test. Populations showing no HWE were indicated with an asterisk (<i>P</i><0.01).</p

Description of SNPs included in the study and analyzed by OpenArray.

<p><i>Abbreviations:</i> Chr, chromosome; C, cytosine; T, thymine; A, adenine; G, guanine. All the assays were commercially available at Applied Biosystems (see Assay ID).</p

Comparison among populations of allelic and genotypic frequencies.

<p>SNPs differentially distributed are shown.</p><p><i>Abbreviations:</i> Can, Canary; And, Andalusia; Basq, Basque Country; Cat, Catalonia. The analyses of the genotypic frequencies were performed including the three possible genotypes. Differences were significant with p values <0.01.</p