Cardiovascular medications and survival in people with ovarian cancer: A population-based cohort study from British Columbia, Canada.


Journal

Gynecologic oncology
ISSN: 1095-6859
Titre abrégé: Gynecol Oncol
Pays: United States
ID NLM: 0365304

Informations de publication

Date de publication:
08 2021
Historique:
received: 23 04 2021
accepted: 20 05 2021
pubmed: 7 6 2021
medline: 15 12 2021
entrez: 6 6 2021
Statut: ppublish

Résumé

Research examining survival among people with ovarian cancer following use of statins or β-blockers has been conflicting. Many studies to date have suffered from immortal time bias and/or had limited power. To address these limitations, we used time-dependent analyses to study the association between statin or β-blocker use among all people diagnosed with an epithelial ovarian cancer in British Columbia, Canada between 1997 and 2015. Population-based administrative data were linked for 4207 people with ovarian cancer. Statin or β-blocker use was examined using time-dependent variables for any use, cumulative duration of use and by user-group according to whether use was initiated before or after their ovarian cancer diagnosis. Cox proportional hazards models were run to estimate the association between statin or β-blocker use and survival. Any postdiagnosis use of statins was associated with better ovarian cancer survival in the full cohort (adjusted hazard ratio (aHR) = 0.76, 95% CI 0.64, 0.89) and among women with serous cancers (aHR = 0.80, 95%CI 0.67-0.96). This was primarily driven by new use post-diagnosis (aHR = 0.67, 95%CI, 0.51-0.89), but there was a trend towards better survival among those who continued use from before diagnosis (aHR 0.83, 95%CI, 0.68-1.00). There was no statistically significant association between β-blocker use and survival. Postdiagnosis statin use was associated with improved survival among people with ovarian cancer. Given the consistency of this finding in the literature, we recommend a randomized clinical trial of statin use in people with ovarian cancer.

Identifiants

pubmed: 34090707
pii: S0090-8258(21)00427-3
doi: 10.1016/j.ygyno.2021.05.021
pmc: PMC9398205
mid: NIHMS1826104
pii:
doi:

Substances chimiques

Adrenergic beta-Antagonists 0
Hydroxymethylglutaryl-CoA Reductase Inhibitors 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

461-468

Subventions

Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States
Organisme : CIHR
Pays : Canada

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest PW has received funding from AstraZeneca for an unrelated study of ovarian cancer.

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Auteurs

Gillian E Hanley (GE)

Department of Gynaecology and Obstetrics, Division of Gynaecologic Oncology, University of British Columbia, Vancouver, BC, Canada. Electronic address: Gillian.hanley@vch.ca.

Paramdeep Kaur (P)

Department of Gynaecology and Obstetrics, Division of Gynaecologic Oncology, University of British Columbia, Vancouver, BC, Canada.

Andrew Berchuck (A)

Department of Gynecologic Oncology, Duke University Medical Center, Durham, NC, United States.

Anne Chase (A)

Regina, SK, Canada.

Bronwyn Grout (B)

Sydney, NSW, Australia.

Cindy McKinnon Deurloo (CM)

East Hampstead, NH, United States.

Malcolm Pike (M)

Memorial Sloan Kettering, New York, NY, United States; Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States.

Jean Richardson (J)

Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States.

Kathryn L Terry (KL)

Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, United States; Obstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States.

Penelope M Webb (PM)

Population Health Department, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.

C Leigh Pearce (CL)

Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States.

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Classifications MeSH