Unreported exclusion and sampling bias in interpretation of randomized controlled trials in patients with STEMI

Int J Cardiol. 2019 Aug 15:289:1-5. doi: 10.1016/j.ijcard.2019.04.064. Epub 2019 May 1.

Abstract

Aims: To assess the impact of sampling bias due to reported as well as unreported exclusion of the target population in a multi-center randomized controlled trial (RCT) of ST-elevation myocardial infarction (STEMI).

Methods and results: We compared clinical characteristics and mortality between participants in the DANAMI-3 trial to contemporary non-participants with STEMI using unselected registries. A total of 179 DANAMI-3 participants (8%) and 617 contemporary non-participants (22%) had died (Log-Rank: P < 0.001) after a median follow-up of 1333 days (range: 1-2021 days). In an unadjusted Cox regression model all groups of non-participants had a higher hazard ratio to predict mortality compared to participants: eligible excluded (n = 144) (hazard ratio: 3.41 (95% CI: (2.69-4.32)), ineligible excluded (n = 472) (hazard ratio: 3.42 (95% CI: (2.44-4.80), eligible non-screened (n = 154) (hazard ratio: 3.37 (95% CI: (2.36-4.82)), ineligible non-screened (n = 154) (hazard ratio: 6.48 (95% CI: (4.77-8.80).

Conclusion: Sampling bias had occurred due to both reported and unreported exclusion of eligible patients and the difference in mortality between participants and non-participants could not be explained only by the trial exclusion criteria. Thus, screening logs may not be suited to address the risks of sampling bias.

Keywords: External validity; Randomized controlled trials; ST-elevation myocardial infarction; Sampling bias; Screening logs.

Publication types

  • Multicenter Study

MeSH terms

  • Cause of Death / trends
  • Denmark / epidemiology
  • Follow-Up Studies
  • Humans
  • Morbidity / trends
  • Percutaneous Coronary Intervention / methods*
  • Randomized Controlled Trials as Topic / methods*
  • Registries*
  • ST Elevation Myocardial Infarction / epidemiology*
  • ST Elevation Myocardial Infarction / surgery
  • Selection Bias
  • Survival Rate / trends
  • Time Factors