Prior event rate ratio adjustment produced estimates consistent with randomized trial: a diabetes case study.

ABSTRACT:

Objectives

Electronic health records (EHR) provide a valuable resource for assessing drug side-effects, but treatments are not randomly allocated in routine care creating the potential for bias. We conduct a case study using the Prior Event Rate Ratio (PERR) Pairwise method to reduce unmeasured confounding bias in side-effect estimates for two second-line therapies for type 2 diabetes, thiazolidinediones, and sulfonylureas.

Study design and settings

Primary care data were extracted from the Clinical Practice Research Datalink (n = 41,871). We utilized outcomes from the period when patients took first-line metformin to adjust for unmeasured confounding. Estimates for known side-effects and a negative control outcome were compared with the A Diabetes Outcome Progression Trial

SUBMITTER: Rodgers LR 

PROVIDER: S-EPMC7262589 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature