Influence of Reported Study Design Characteristics on Intervention Effect Estimates From Randomized, Controlled Trials
University of Bristol · Copenhagen University Hospital · +14 more institutions
Abstract
Published evidence suggests that aspects of trial design lead to biased intervention effect estimates, but findings from different studies are inconsistent. This study combined data from 7 meta-epidemiologic studies and removed overlaps to derive a final data set of 234 unique meta-analyses containing 1973 trials. Outcome measures were classified as "mortality," "other objective," "or subjective," and Bayesian hierarchical models were used to estimate associations of trial characteristics with average bias and between-trial heterogeneity. Intervention effect estimates seemed to be exaggerated in trials with inadequate or unclear (vs. adequate) random-sequence generation (ratio of odds ratios, 0.89 [95%…
Citation impact
- FWCI
- 104.98
- Percentile
- 100%
- References
- 41
Authors
18- JSJelena SavovićCorresponding
University of Bristol, Copenhagen University Hospital
- HEHayley E Jones
University of Liverpool, University of Bristol, Copenhagen University Hospital, Health Protection Research Unit in Emerging and Zoonotic Infections at University of Liverpool
- DGDouglas G. Altman
Copenhagen University Hospital, Cancer Research UK Oxford Centre
- RHRoss Harris
Copenhagen University Hospital
- PJPeter Jüni
Copenhagen University Hospital, University of Bern
Topics & keywords
- Medicine
- Blinding
- Odds ratio
- Confidence interval
- Meta-analysis
- Randomized controlled trial
- Credible interval
- Clinical trial
- Good health and well-being