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• W2084411266 abstract "Systematic review and meta-analysis currently underpin much of evidence-based medicine. Such methodologies bring order to previous research, but future research planning remains relatively incoherent and inefficient. To outline a framework for evaluation of health interventions, aimed at increasing coherence and efficiency through i) making better use of information contained within the existing evidence-base when designing future studies; and ii) maximising the information available and thus potentially reducing the need for future studies. The framework presented insists that an up-to-date meta-analysis of existing randomised controlled trials (RCTs) should always be considered before future trials are conducted. Such a meta-analysis should inform critical design issues such as sample size determination. The contexts in which the use of individual patient data meta-analysis and mixed treatment comparisons modelling may be beneficial before further RCTs are conducted are considered. Consideration should also be given to how any newly planned RCTs would contribute to the totality of evidence through its incorporation into an updated meta-analysis. We illustrate how new RCTs can have very low power to change inferences of an existing meta-analysis, particularly when between study heterogeneity is taken into consideration. While the collation of existing evidence as the basis for clinical practice is now routine, a more coherent and efficient approach to planning future RCTs to strengthen the evidence base needs to be developed. The framework presented is a proposal for how this situation can be improved." @default.
• W2084411266 created "2016-06-24" @default.
• W2084411266 creator A5028509069 @default.
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• W2084411266 date "2009-04-30" @default.
• W2084411266 modified "2023-10-08" @default.
• W2084411266 title "Evidence synthesis as the key to more coherent and efficient research" @default.
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• W2084411266 doi "https://doi.org/10.1186/1471-2288-9-29" @default.
• W2084411266 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/2681473" @default.
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• W2084411266 hasPublicationYear "2009" @default.
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