Statins were not associated with hepatocellular carcinoma after controlling for time-varying confounders in patients with diabetes

  • Yi Chun Yeh
  • , Yen Yu Chen
  • , Pei Chun Chen*
  • *Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

6 Scopus citations

Abstract

Background and Objectives: We examined the association between statin use and hepatocellular carcinoma (HCC) incidence in patients with diabetes using marginal structural models (MSMs) estimated by inverse probability weight (IPW), which adjusts for time-varying confounders that are also mediators, and we compared the results with conventional regression methods. Methods: This retrospective cohort study included 245,122 patients with type 2 diabetes who were new users of lipid-lowering drugs identified using the claims data of a universal health insurance program. Statin exposure was time-updated every three months during the follow-up period. Stabilized IPW was calculated and accounted for chronic liver diseases considering as time-dependent confounders affected by past statin exposure. Results: Over a median follow-up of 5.2 years, 1,694 patients developed HCC. In the conventional regression analysis, the hazard ratio of HCC associated with statin use was 0.88 (95% confidence interval CI: 0.79–0.97) after adjusting for baseline covariates and 0.97 (95% CI: 0.87–1.08) after additionally adjusting for time-varying covariates. The hazard ratio increased to 1.11 (95% CI: 0.94–1.31) using the MSM approach. Conclusion: Statin use was not associated with the risk of developing HCC in patients with diabetes. Our findings highlight the importance of controlling time-varying confounders in observational studies.

Original languageEnglish
Pages (from-to)98-105
Number of pages8
JournalJournal of Clinical Epidemiology
Volume150
DOIs
StatePublished - 10 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022 Elsevier Inc.

Keywords

  • Inverse probability weight
  • Marginal structural model
  • Mediators
  • Retrospective cohort study
  • Time-varying confounding
  • Type 2 diabetes mellitus

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