Can authorship bias be detected in meta-analysis?

Ahmed M Abou-SettaRasheda RabbaniLisa M LixAlexis F TurgeonBrett L HoustonDean A FergussonRyan Zarychanski

Published in: Canadian journal of anaesthesia = Journal canadien d'anesthesie (2019)

When combining trial-level data to produce a pooled effect estimate, investigators must consider sources of potential bias. Our results suggest that systematic errors can be detected using meta-regression, although further research is needed to examine the sensitivity of this model. Systematic reviewers will benefit from the availability of methods to guard against the dissemination of results with the potential to mislead decision-making.

Keyphrases

systematic review
decision making
phase iii
clinical trial
electronic health record
human health
meta analyses
big data
risk assessment
emergency department
deep learning
open label
case control
double blind