OBJECTIVE: The objective of this study was to evaluate the epidemiologic association between diabetes and risk of ovarian cancer. METHODS: We searched PubMed, EMBASE, and The Cochrane Library for observational studies on the association between diabetes and ovarian cancer. Cohort studies that reported relative risks (RRs) and case-control studies that showed odds ratios were included in the analysis. Summary RRs with 95% confidence intervals (CIs) were calculated with a random-effects model. RESULTS: A total of 19 studies from 18 articles (7 case-control studies and 11 cohort studies) met the inclusion criteria. Combining data from all studies, diabetes was associated with an increased risk of ovarian cancer, compared with no diabetes (summary RR of ovarian cancer incidence, 1.17; 95% CI, 1.02-1.33). In cohort and nested case-control studies, patients with diabetes had statistically significant increased risk of ovarian cancer (RR, 1.16; 95% CI, 1.01-1.33), without significant heterogeneity (I = 27; P = 0.172). Among studies that control for age, body mass index, smoking, and alcohol, a prominent association between diabetes and ovarian cancer was found (RR, 1.55; 95% CI, 1.11-2.19). CONCLUSIONS: This study suggests that women with diabetes have a moderately increased risk of ovarian cancer.
OBJECTIVE: The objective of this study was to evaluate the epidemiologic association between diabetes and risk of ovarian cancer. METHODS: We searched PubMed, EMBASE, and The Cochrane Library for observational studies on the association between diabetes and ovarian cancer. Cohort studies that reported relative risks (RRs) and case-control studies that showed odds ratios were included in the analysis. Summary RRs with 95% confidence intervals (CIs) were calculated with a random-effects model. RESULTS: A total of 19 studies from 18 articles (7 case-control studies and 11 cohort studies) met the inclusion criteria. Combining data from all studies, diabetes was associated with an increased risk of ovarian cancer, compared with no diabetes (summary RR of ovarian cancer incidence, 1.17; 95% CI, 1.02-1.33). In cohort and nested case-control studies, patients with diabetes had statistically significant increased risk of ovarian cancer (RR, 1.16; 95% CI, 1.01-1.33), without significant heterogeneity (I = 27; P = 0.172). Among studies that control for age, body mass index, smoking, and alcohol, a prominent association between diabetes and ovarian cancer was found (RR, 1.55; 95% CI, 1.11-2.19). CONCLUSIONS: This study suggests that women with diabetes have a moderately increased risk of ovarian cancer.
Authors: Jeanine N Staples; Lauren C Peres; Fabian Camacho; Anthony J Alberg; Elisa V Bandera; Jill Barnholtz-Sloan; Melissa L Bondy; Michele L Cote; Ellen Funkhouser; Patricia G Moorman; Edward S Peters; Ann G Schwartz; Paul D Terry; Joellen M Schildkraut Journal: Gynecol Oncol Date: 2020-04-30 Impact factor: 5.482
Authors: Sara Lindström; Hilary Finucane; Brendan Bulik-Sullivan; Fredrick R Schumacher; Christopher I Amos; Rayjean J Hung; Kristin Rand; Stephen B Gruber; David Conti; Jennifer B Permuth; Hui-Yi Lin; Ellen L Goode; Thomas A Sellers; Laufey T Amundadottir; Rachael Stolzenberg-Solomon; Alison Klein; Gloria Petersen; Harvey Risch; Brian Wolpin; Li Hsu; Jeroen R Huyghe; Jenny Chang-Claude; Andrew Chan; Sonja Berndt; Rosalind Eeles; Douglas Easton; Christopher A Haiman; David J Hunter; Benjamin Neale; Alkes L Price; Peter Kraft Journal: Cancer Epidemiol Biomarkers Prev Date: 2017-06-21 Impact factor: 4.254
Authors: Gabriel Cuellar-Partida; Yi Lu; Suzanne C Dixon; Peter A Fasching; Alexander Hein; Stefanie Burghaus; Matthias W Beckmann; Diether Lambrechts; Els Van Nieuwenhuysen; Ignace Vergote; Adriaan Vanderstichele; Jennifer Anne Doherty; Mary Anne Rossing; Jenny Chang-Claude; Anja Rudolph; Shan Wang-Gohrke; Marc T Goodman; Natalia Bogdanova; Thilo Dörk; Matthias Dürst; Peter Hillemanns; Ingo B Runnebaum; Natalia Antonenkova; Ralf Butzow; Arto Leminen; Heli Nevanlinna; Liisa M Pelttari; Robert P Edwards; Joseph L Kelley; Francesmary Modugno; Kirsten B Moysich; Roberta B Ness; Rikki Cannioto; Estrid Høgdall; Claus Høgdall; Allan Jensen; Graham G Giles; Fiona Bruinsma; Susanne K Kjaer; Michelle A T Hildebrandt; Dong Liang; Karen H Lu; Xifeng Wu; Maria Bisogna; Fanny Dao; Douglas A Levine; Daniel W Cramer; Kathryn L Terry; Shelley S Tworoger; Meir Stampfer; Stacey Missmer; Line Bjorge; Helga B Salvesen; Reidun K Kopperud; Katharina Bischof; Katja K H Aben; Lambertus A Kiemeney; Leon F A G Massuger; Angela Brooks-Wilson; Sara H Olson; Valerie McGuire; Joseph H Rothstein; Weiva Sieh; Alice S Whittemore; Linda S Cook; Nhu D Le; C Blake Gilks; Jacek Gronwald; Anna Jakubowska; Jan Lubiński; Tomasz Kluz; Honglin Song; Jonathan P Tyrer; Nicolas Wentzensen; Louise Brinton; Britton Trabert; Jolanta Lissowska; John R McLaughlin; Steven A Narod; Catherine Phelan; Hoda Anton-Culver; Argyrios Ziogas; Diana Eccles; Ian Campbell; Simon A Gayther; Aleksandra Gentry-Maharaj; Usha Menon; Susan J Ramus; Anna H Wu; Agnieszka Dansonka-Mieszkowska; Jolanta Kupryjanczyk; Agnieszka Timorek; Lukasz Szafron; Julie M Cunningham; Brooke L Fridley; Stacey J Winham; Elisa V Bandera; Elizabeth M Poole; Terry K Morgan; Ellen L Goode; Joellen M Schildkraut; Celeste L Pearce; Andrew Berchuck; Paul D P Pharoah; Penelope M Webb; Georgia Chenevix-Trench; Harvey A Risch; Stuart MacGregor Journal: Hum Genet Date: 2016-04-13 Impact factor: 5.881