Impact of immortal person-time and time scale in comparative effectiveness research for medical devices: a case for implantable cardioverter-defibrillators.

Journal Article

OBJECTIVES: To assess the extent of immortal time bias in estimating the clinical effectiveness of implantable cardioverter-defibrillators (ICDs) and the impact of methods of handling immortal time bias. STUDY DESIGN AND SETTING: Retrospective population-based cohort study of patients with heart failure in a national registry linked to Medicare claims (2003-2008). We compared three methods of handling immortal time bias, namely the Mantel-Byar (or time-dependent exposure assignment), the landmark, and the exclusion methods. RESULTS: Of the 5,226 study patients, 1,274 (24.4%) received ICD therapy. Total person-years in the Mantel-Byar method were 2,639, or 490 more than that in the exclusion method, reflecting potential immortal time in the study. The exclusion method yielded a hazard ratio of 0.71 (95% confidence interval [CI]: 0.63-0.80), which was 16% lower than the Mantel-Byar method (0.84; 95% CI: 0.75-0.95). The 120-day landmark method yielded similar results to those produced by the Mantel-Byar method (0.82; 95% CI: 0.72-0.95). CONCLUSIONS: Immortal time bias was detected in the ICD clinical effectiveness study, which might have led to substantial bias overestimating the treatment effect if handled by exclusion. When an appropriate landmark was selected, that method yielded similar hazard ratios to those obtained by the Mantel-Byar method, supporting the validity of the landmark method.

Full Text

Duke Authors

Cited Authors

  • Mi, X; Hammill, BG; Curtis, LH; Greiner, MA; Setoguchi, S

Published Date

  • August 2013

Published In

Volume / Issue

  • 66 / 8 Suppl

Start / End Page

  • S138 - S144

PubMed ID

  • 23849148

Pubmed Central ID

  • 23849148

Electronic International Standard Serial Number (EISSN)

  • 1878-5921

Digital Object Identifier (DOI)

  • 10.1016/j.jclinepi.2013.01.014


  • eng

Conference Location

  • United States