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Updated: Dec 25, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Multivariable analysis of association of beta-blocker use and survival in advanced ovarian cancer
R Gonzalez1, A A Gockley2, A Melamed3
1Division of Gynecologic Oncology, Duke University, Durham, NC, United States of America.
Objective:
In this study, we sought to evaluate the relationship between survival and beta blocker use in both the primary and interval debulking setting while adjusting for frequently co-administered medications.
Methods:
We performed a retrospective cohort study reviewing charts of women who underwent primary or interval cytoreduction for stage IIIC and IV epithelial ovarian cancer. The exposure of interest was beta-blocker use identified at the time of cytoreduction. The outcomes of interest were PFS and OS. We collected demographic/prognostic variables and information about use of aspirin, metformin, and statins. We used the Kaplan-Meier method and Cox proportional hazards models in survival analyses.
Results:
534 women who underwent surgery for stage IIIC or IV ovarian cancer were included in the study. The median age at diagnosis was 64 and 84.8% of women had serous carcinoma. We identified 105 women (19.7%) on a beta-blocker of whom 94 (90%) were on a cardioselective beta-blocker. Additionally, 24 women (4.5%) were on metformin, 91 (17%) on aspirin, and 128 (24%) on a statin. In univariable analysis, beta-blocker users had a median overall survival of 29 months vs 35 months among non-users (hazard ratio HR = 1.52, p = 0.007). After adjustment for important demographic, clinical, and histopathologic factors, as well as use of other common medications, beta-blocker use remain associated with an increased hazard of death (adjusted HR 1.57, p = 0.006).
Conclusion:
In this retrospective study, we found that patients identified as being on a beta-blocker at the time of surgery had worse overall survival and greater risk of death when compared to those patients not on betablockers. Importantly, 90% of patients on beta-blockers were identified as being on a cardioselective beta-blocker.
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