Impact of Concurrent Medication Use on Pancreatic Cancer Survival-SEER-Medicare Analysis.
Impact of Concurrent Medication Use on Pancreatic Cancer Survival-SEER-Medicare Analysis.
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DOI:
10.1097/coc.0000000000000359
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发表时间:
2018-08
期刊:
影响因子:
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通讯作者:
Mortensen EM
中科院分区:
文献类型:
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作者:
Beg MS;Gupta A;Sher D;Ali S;Khan S;Gao A;Stewart T;Ahn C;Berry J;Mortensen EM
Preclinical studies have suggested that non-antineoplastic medication use may impact pancreatic cancer biology. We examined the association of several medication classes on pancreatic cancer survival in a large medical claims database. Histologically confirmed pancreatic adenocarcinoma diagnosed between 2006 and 2009 were analyzed from the Surveillance, Epidemiology and End Results (SEER)-Medicare database with available Part D data. Drug use was defined as having two prescriptions filled within 12 months of pancreatic cancer diagnosis. The following medication classes/combinations were analyzed: beta-blocker, statin, insulin, metformin, thiazolidinedione (TZD), warfarin, heparin, beta-blocker/statin, metformin/statin and beta-blocker/metformin. Multivariable Cox proportional hazard models adjusting for age, gender, race, stage at diagnosis, site of cancer, and Charlson comorbidity index were constructed to test the association between medication classes and overall survival. 13,702 patients were included in the study; median age 76 years, 42.5% males, 77.1% white. The most common anatomical site and stage at diagnosis were head of the pancreas (49.9%) and stage 4 (49.6%) respectively. 94% of patients died in the follow-up period (median overall survival 5.3 months). Multivariable Cox regression analysis showed that use of beta blockers, heparin, insulin and warfarin were significantly associated with improved survival (p<0.05 for each one), whereas metformin, TZD, statin and combination therapies were not. In this study, use of beta blockers, heparin, insulin and warfarin were associated with improved survival in patients with pancreatic cancer. Additional studies are needed to validate these findings in the clinical setting.