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• W2151109508 abstract "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.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.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.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." @default.
• W2151109508 created "2016-06-24" @default.
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• W2151109508 date "2009-03-01" @default.
• W2151109508 modified "2023-10-18" @default.
• W2151109508 title "Robustness Assessments Are Needed to Reduce Bias in Meta-Analyses That Include Zero-Event Randomized Trials" @default.
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• W2151109508 doi "https://doi.org/10.1038/ajg.2008.22" @default.
• W2151109508 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/19262513" @default.
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