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Meta-analyses in paediatric surgery are often fragile: implications and consequences

PURPOSE: Meta-analyses occupy the highest level of evidence and thereby guide clinical decision-making. Recently, randomised-controlled trials were evaluated for the robustness of their findings by calculating the fragility index. The fragility index is the number of events that needs to be added to...

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Detalles Bibliográficos
Autores principales: Schröder, Arne, Muensterer, Oliver J., Oetzmann von Sochaczewski, Christina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900054/
https://www.ncbi.nlm.nih.gov/pubmed/33454848
http://dx.doi.org/10.1007/s00383-020-04827-5
Descripción
Sumario:PURPOSE: Meta-analyses occupy the highest level of evidence and thereby guide clinical decision-making. Recently, randomised-controlled trials were evaluated for the robustness of their findings by calculating the fragility index. The fragility index is the number of events that needs to be added to one treatment arm until the statistical significance collapses. We, therefore, aimed to evaluate the robustness of paediatric surgical meta-analyses. METHODS: We searched MEDLINE for paediatric surgical meta-analyses in the last decade. All meta-analyses on a paediatric surgical condition were eligible for analysis if they based their conclusion on a statistically significant meta-analysis. RESULTS: We screened 303 records and conducted a full-text evaluation of 60 manuscripts. Of them, 39 were included in our analysis that conducted 79 individual meta-analyses with significant results. Median fragility index was 5 (Q25–Q75% 2–11). Median fragility in relation to included patients was 0.77% (Q25–Q75% 0.29–1.87%). CONCLUSION: Paediatric surgical meta-analyses are often fragile. In almost 60% of results, the statistical significance depends on less than 1% of the included population. However, as the fragility index is just a transformation of the P value, it basically conveys the same information in a different format. It therefore should be avoided.