2008
DOI: 10.1016/j.jclinepi.2007.03.013
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Trial sequential analysis may establish when firm evidence is reached in cumulative meta-analysis

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Cited by 1,493 publications
(1,054 citation statements)
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References 35 publications
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“…Indeed, traditional meta‐analytic methods may sometimes lead to false‐positive results, especially when pooled estimates are updated with the publication of new trials in cumulative meta‐analyses 14. The aim of this approach is to determine whether enough evidence has been obtained to reach a conclusion regarding the superiority of one treatment over another, or if a new RCT addressing the same comparison should be undertaken 15, 16. Briefly, in TSA, a cumulative meta‐analysis of RCTs is similar to several interim analyses of a single RCT, with the construction of specific trial sequential monitoring boundaries by using the Lan–DeMets α spending function approach 15, 16.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Indeed, traditional meta‐analytic methods may sometimes lead to false‐positive results, especially when pooled estimates are updated with the publication of new trials in cumulative meta‐analyses 14. The aim of this approach is to determine whether enough evidence has been obtained to reach a conclusion regarding the superiority of one treatment over another, or if a new RCT addressing the same comparison should be undertaken 15, 16. Briefly, in TSA, a cumulative meta‐analysis of RCTs is similar to several interim analyses of a single RCT, with the construction of specific trial sequential monitoring boundaries by using the Lan–DeMets α spending function approach 15, 16.…”
Section: Methodsmentioning
confidence: 99%
“…To this aim, we included published data from all RCTs and unpublished data from the 3‐arm CLOSE trial, allowing head‐to‐head comparison of all the abovementioned therapeutic strategies and calculation of the absolute risk of stroke and corresponding number needed to treat. Because traditional updated meta‐analyses may sometimes lead to false‐positive results due to repeated significance testing,14 we performed trial sequential analyses (TSA), a method similar to interim analyses of a single RCT, in order to determine whether enough evidence has been obtained to reach a conclusion 15, 16…”
Section: Introductionmentioning
confidence: 99%
“…TSA could reduce type I error because it combines estimation of required information size with adjusted threshold for statistical significance 13, 20, 21. TSA was performed for cardiovascular outcomes by anticipating a 20% relative risk reduction, an overall 5% risk of type I error, and a statistical test power of 80%.…”
Section: Methodsmentioning
confidence: 99%
“…The strengths of this clinical practice guideline include the application of current standards for trustworthy guidelines, including the GRADE methodology which support a systematic and transparent process,9 and use of TSA to assess the risk of random errors 13. The limitations include the reliance upon existing systematic reviews for some recommendations, including the risk of trial heterogeneity, indirectness, and bias.…”
Section: Discussionmentioning
confidence: 99%
“…We used trial sequential analysis (TSA) to assess the risk of random errors (spurious findings) due to repetitive testing and sparse data13. TSA was applied using an a priori 20% relative risk reduction, an alfa of 5%, beta of 90%, and a control event proportion according to the results from the included trials.…”
Section: Methodsmentioning
confidence: 99%