Linkage of routinely collected oncology clinical data with health insurance claims data--an example with aromatase inhibitors, tamoxifen, and all-cause mortality

Pharmacoepidemiology and Drug Safety
David D DoreJohn D Seeger

Abstract

Studies of cancer based solely on health insurance claims data typically lack information on cancer clinical characteristics that are strong predictors of treatment and prognosis. Our objective was to evaluate routinely collected cancer clinical data for adjustment of confounding using an example evaluation of mortality associated with aromatase inhibitors and tamoxifen. This cohort study identified women with breast cancer from 2008 through 2010 using health insurance claims data linked to clinical information on stage at diagnosis, current clinical status, histology, and other clinical markers. Estimated mortality rates (MRs) and 95% confidence intervals (CI) were compared between users of aromatase inhibitors or tamoxifen, adjusted for claims-identified covariates and additionally for the clinical variables using propensity scores and proportional hazards regression models. The overall (n = 7974) estimated MR was 69/1000 person-years (95%CI = 62-76 person-years), 308/1000 person-years (95% CI = 273-345 person-years) for women with metastasis, and 12/1000 person-years (95%CI = 8-16 person-years) for women without active cancer. Propensity score matching of aromatase inhibitor users (n = 777) with tamoxifen users (n = 535) rem...Continue Reading

References

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Feb 16, 2011·Diabetes, Obesity & Metabolism·D D DoreJ D Seeger
Jan 1, 2007·American Journal of Epidemiology·Til StürmerRobert J Glynn

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Citations

May 11, 2012·Pharmacoepidemiology and Drug Safety·Sebastian SchneeweissScott R Smith
Oct 13, 2014·Computer Methods and Programs in Biomedicine·K RickettsA Gibson
Sep 29, 2017·Journal of Neuro-oncology·Charlotte KellyMatt Williams

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