Back to Search Start Over

Additional file 1: of Breast cancer risk prediction in women aged 35â 50â years: impact of including sex hormone concentrations in the Gail model

Authors :
Clendenen, Tess
Wenzhen Ge
Koenig, Karen
Afanasyeva, Yelena
Agnoli, Claudia
Brinton, Louise
Farbod Darvishian
Dorgan, Joanne
A. Eliassen
Falk, Roni
GĂśran Hallmans
Hankinson, Susan
Hoffman-Bolton, Judith
Key, Timothy
Krogh, Vittorio
Nichols, Hazel
Sandler, Dale
Minouk Schoemaker
Sluss, Patrick
Sund, Malin
Swerdlow, Anthony
Visvanathan, Kala
Zeleniuch-Jacquotte, Anne
Mengling Liu
Publisher :
figshare

Abstract

Table S1. Breast cancer incidence and competing mortality rates used for each cohort to estimate absolute risk. Table S2. Descriptive characteristics of invasive + in situ cases and matched controls. Table S3. Descriptive characteristics of invasive breast cancer cases and matched controls, by cohort. Table S4. Descriptive characteristics of invasive plus in situ breast cancer cases and matched controls, by cohort. Table S5. Random-effects meta-analysis relative risk estimates, invasive and in situ. Figure S1. Cohort-specific and random-effects meta-analysis relative risk estimates for Gail model variables, AMH and testosterone (invasive cases only). Figure S2. Cohort-specific and random-effects meta-analysis relative risk estimates for Gail model variables, AMH and testosterone, invasive and in situ. Figure S3. Relative risk estimates by age group, invasive cases only. Figure S4. AUCs by cohort 95% confidence intervals, invasive and in situ. (DOCX 254 kb)

Subjects

Subjects :
3. Good health

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........fdd26a6a420dbd7c57a8a86f41558163