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Published in: Pediatric Surgery International 3/2021

01-03-2021 | Original Article

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

Authors: Arne Schröder, Oliver J. Muensterer, Christina Oetzmann von Sochaczewski

Published in: Pediatric Surgery International | Issue 3/2021

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Abstract

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.
Literature
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go back to reference Atal I (2018) The Fragility Index of meta-analyses. Paris Atal I (2018) The Fragility Index of meta-analyses. Paris
11.
go back to reference R Core Team (2019) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna R Core Team (2019) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna
Metadata
Title
Meta-analyses in paediatric surgery are often fragile: implications and consequences
Authors
Arne Schröder
Oliver J. Muensterer
Christina Oetzmann von Sochaczewski
Publication date
01-03-2021
Publisher
Springer Berlin Heidelberg
Published in
Pediatric Surgery International / Issue 3/2021
Print ISSN: 0179-0358
Electronic ISSN: 1437-9813
DOI
https://doi.org/10.1007/s00383-020-04827-5

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