Trial sequential analysis may establish when firm evidence is reached in cumulative meta-analysis.

By J. Wetterslev, K. Thorlund, J. Brok, C. Gluud. Journal of Clinical Epidemiology, 2008

1,687 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Trial Sequential Analysis in systematic reviews with meta-analysis (2017, background): “First, most randomised trials are underpowered [1, 3, 5, 7].”
Trial sequential analysis reveals insufficient information size and potentially false positive results in many meta-analyses. (2008, methodology): “Trial sequential analysis (TSA) is an approach that provides the required information size in meta-analyses [ 16 ].”
Thresholds for statistical and clinical significance in systematic reviews with meta-analytic methods (2014, methodology): “It has been shown that a statistically significant meta-analysis based on too low information sizes, often at a later time point, will change from statistically significant to statistically non-significant [25,26,47].”
Why Most Discovered True Associations Are Inflated (2008, background): “Most meta-analyses remain largely underpowered for small-to-modest effects.(96) Superimposed selective reporting can also be operating.”