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. 2017 Jun 6;7(1):2911.
doi: 10.1038/s41598-017-02913-8.

Pre- and post-diagnostic β-blocker use and lung cancer survival: A population-based cohort study

Affiliations

Pre- and post-diagnostic β-blocker use and lung cancer survival: A population-based cohort study

Janick Weberpals et al. Sci Rep. .

Abstract

Beta-blockers have been associated with decreased cancer mortality. However, evidence for lung cancer is sparse and reported beneficial effects might be based on biased analyses. In this so far largest study we investigated the association between β-blocker use and lung cancer survival. Therefore, patients with a lung cancer diagnosis between April 1998 and December 2011 were selected from a database linkage of the Netherlands Cancer Registry and the PHARMO Database Network. After matching eligible patients on the propensity score, adjusted hazard ratios (HRs) and corresponding 95% confidence intervals (CI) were calculated using Cox proportional hazards regression to investigate the association between pre-diagnostic and time-dependent β-blocker use and overall survival. Duration and dose-response analyses and stratified analyses by β-blocker type, histological subgroups and stage were conducted. Of 3,340 eligible lung cancer patients, 1437 (43%) took β-blockers four months prior to diagnosis. Pre-diagnostic β-blocker use was not associated with overall survival (HR 1.00 (0.92-1.08)) in the adjusted model. Time-dependent post-diagnostic analysis showed similar results with a HR of 1.03 (0.94-1.11). Trend analyses showed no association for cumulative dose (HR 0.99 (0.97-1.02)) and cumulative duration (HR 1.00 (0.96-1.05)). In conclusion, β-blocker use is not associated with reduced mortality among lung cancer patients.

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Conflict of interest statement

J.W., L.J., M.H., P.V. and M.W. have nothing to disclaim. H.B. reports grants from the German Cancer Aid and from German Federal Ministry of Education and Research, during the conduct of the study. M.H.S. is an employee of the PHARMO Institute for Drug Outcomes Research; this independent research institute performs financially supported studies for government and related healthcare authorities and several pharmaceutical companies. W.H. reports personal fees and non-financial support from Aqua Institute Göttingen, Aspen Europe GmbH, Diaplan, EvalueScience Ltd., Grünenthal GmbH, GSK GER/UK/Slovakia/France/Espana/Poland, and Novartis, other from Dosing GmbH, personal fees from Actelion GmbH, AstraZenica GmbH, Berlin-Chemie AG, Boehringer GmbH, Bristol-Myers Squibb GmbH, Gesundheitsamt Österreich, KWHC GmbH, MSD Sharp & Dohme GmbH, Roche, UK, and Südwestrundfunk, personal fees and other from Thieme Verlag and Daiichi Sankyo GmbH, grants and personal fees from Landesapothekerkammer Hessen/Nieders/BW, grants from BMBF (DZIF, ESTHER), EU (QUALMAT), outside the submitted work; and WEH is a member of the scientific advisory board and shareholder of Dosing GmbH, the company distributing the clinical decision support software used in this study. His wife is an employee of Dosing GmbH.

Figures

Figure 1
Figure 1
Selection of eligible patients for statistical analysis.
Figure 2
Figure 2
Adjusted survival curves for any β-blocker use in the four month interval prior diagnosis for (A) all histologies, (B) non-small cell lung cancer (NSCLC) and (C) small cell lung cancer (SCLC).

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