Robustness assessments are needed to reduce bias in meta-analyses that include zero-event randomized trials.
OBJECTIVE
Meta-analysis of randomized trials with binary data can use a variety of statistical methods. Zero-event trials may create analytic problems. We explored how different methods may impact inferences from meta-analyses containing zero-event trials.


METHODS
Five levels of statistical methods are identified for meta-analysis with zero-event trials, leading to numerous data analyses. We used the binary outcomes from our Cochrane review of randomized trials of laparoscopic vs. small-incision cholecystectomy for patients with symptomatic cholecystolithiasis to illustrate the influence of statistical method on inference.


RESULTS
In seven meta-analyses of seven outcomes from 15 trials, there were zero-event trials in 0 to 71.4% of the trials. We found inconsistency in significance in one of seven outcomes (14%; 95% confidence limit 0.4%-57.9%). There was also considerable variability in the confidence limits, the intervention-effect estimates, and heterogeneity for all outcomes.


CONCLUSIONS
The statistical method may influence the inference drawn from a meta-analysis that includes zero-event trials. Robustness assessments are needed to reduce bias in meta-analyses that include zero-event trials.
Keus
F
F
Centre for Clinical Intervention Research, Rigshospitalet, Copenhagen University Hospital, Denmark. erickeus@hotmail.com
Wetterslev
J
J
Gluud
C
C
Gooszen
H G
HG
van Laarhoven
C J H M
CJ
D015982:Bias; D003627:Data Interpretation, Statistical; D015201:Meta-Analysis as Topic; D016032:Randomized Controlled Trials as Topic