Trial sequential analysis: A simple guide for judging the conclusiveness of the effect

Samer Mheissen

5 citations0/0 files storedJournal of Orthodontics

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Meta-analysis and systematic reviews Statistical Methods in Clinical Trials Statistical Methods in Epidemiology

Abstract

Meta-analysis is a statistical method used in systematic reviews to provide a quantitative estimate of the effect. However, including very few studies and participants may increase the risk of spurious findings. Trial sequential analysis (TSA) has been introduced to enhance the robustness of meta-analysis. TSA is a cumulative meta-analysis method that weighs type I and II errors while estimating the effect. The application of TSA can lead to a more accurate estimation of the clinical effectiveness of the intervention. The aim of the present paper was to introduce the TSA to orthodontic clinicians and researchers using continuous data from an orthodontic systematic review.

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References

1995Empirical Evidence of Bias 2008Trial sequential analysis reveals insufficient information size and potentially false positive results in many meta-analyses 2008Can trial sequential monitoring boundaries reduce spurious inferences from meta-analyses?2014Thresholds for statistical and clinical significance in systematic reviews with meta-analytic methods 2013The Impact of Study Size on Meta-analyses: Examination of Underpowered Studies in Cochrane Reviews 2011The Number of Patients and Events Required to Limit the Risk of Overestimation of Intervention Effects in Meta-Analysis—A Simulation Study 2016False-positive findings in Cochrane meta-analyses with and without application of trial sequential analysis: an empirical review 2011Statistically significant meta-analyses of clinical trials have modest credibility and inflated effects

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