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Reasons for missing evidence in rehabilitation meta-analyses: a cross-sectional meta-research study

BACKGROUND: Systematic reviews of randomized controlled trials are the best evidence for informing on intervention effectiveness. Their results, however, can be biased due to omitted evidence in the quantitative analyses. We aimed to assess the proportion of randomized controlled trials omitted from...

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Autores principales: Lazzarini, Stefano Giuseppe, Stella Yousif, Marzia, Bargeri, Silvia, Castellini, Greta, Gianola, Silvia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590516/
https://www.ncbi.nlm.nih.gov/pubmed/37865743
http://dx.doi.org/10.1186/s12874-023-02064-7
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author Lazzarini, Stefano Giuseppe
Stella Yousif, Marzia
Bargeri, Silvia
Castellini, Greta
Gianola, Silvia
author_facet Lazzarini, Stefano Giuseppe
Stella Yousif, Marzia
Bargeri, Silvia
Castellini, Greta
Gianola, Silvia
author_sort Lazzarini, Stefano Giuseppe
collection PubMed
description BACKGROUND: Systematic reviews of randomized controlled trials are the best evidence for informing on intervention effectiveness. Their results, however, can be biased due to omitted evidence in the quantitative analyses. We aimed to assess the proportion of randomized controlled trials omitted from meta-analyses in the rehabilitation field and explore related reasons. METHODS: This is a cross-sectional meta-research study. For each systematic review included in a published selected sample in the rehabilitation field, we identified an index meta-analysis on the primary outcome and the main comparison. We then looked at all the studies considered eligible for the chosen comparison in the systematic review and identified those trials that have been omitted (i.e., not included) from each index meta-analysis. Reasons for omission were collected based on an eight-reason classification. We used descriptive statistics to describe the proportion of omitted trials overall and according to each reason. RESULTS: Starting from a cohort of 827 systematic reviews, 131 index meta-analyses comprising a total of 1761 eligible trials were selected. Only 16 index meta-analyses included all eligible studies while 15 omitted studies without providing references. From the remaining 100 index meta-analyses, 717 trials (40,7%) were omitted overall. Specific reasons for omission were: "unable to distinguish between selective reporting and inadequate planning" (39,3%, N = 282), "inadequate planning" (17%, N = 122), "justified to be not included" (15,1%, N = 108), "incomplete reporting" (8,4%, N = 60), "selective reporting" (3,3%, N = 24) and other situations (e.g., outcome present but no motivation for omission) (5,2%, N = 37). The 11,7% (N = 84) of omitted trials were not assessed due to non-English language or full text not available. CONCLUSIONS: Almost half of the eligible trials were omitted from their index meta-analyses. Better reporting, protocol registration, definition and adoption of core outcome sets are needed to prevent omission of evidence in systematic reviews. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-023-02064-7.
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spelling pubmed-105905162023-10-23 Reasons for missing evidence in rehabilitation meta-analyses: a cross-sectional meta-research study Lazzarini, Stefano Giuseppe Stella Yousif, Marzia Bargeri, Silvia Castellini, Greta Gianola, Silvia BMC Med Res Methodol Research BACKGROUND: Systematic reviews of randomized controlled trials are the best evidence for informing on intervention effectiveness. Their results, however, can be biased due to omitted evidence in the quantitative analyses. We aimed to assess the proportion of randomized controlled trials omitted from meta-analyses in the rehabilitation field and explore related reasons. METHODS: This is a cross-sectional meta-research study. For each systematic review included in a published selected sample in the rehabilitation field, we identified an index meta-analysis on the primary outcome and the main comparison. We then looked at all the studies considered eligible for the chosen comparison in the systematic review and identified those trials that have been omitted (i.e., not included) from each index meta-analysis. Reasons for omission were collected based on an eight-reason classification. We used descriptive statistics to describe the proportion of omitted trials overall and according to each reason. RESULTS: Starting from a cohort of 827 systematic reviews, 131 index meta-analyses comprising a total of 1761 eligible trials were selected. Only 16 index meta-analyses included all eligible studies while 15 omitted studies without providing references. From the remaining 100 index meta-analyses, 717 trials (40,7%) were omitted overall. Specific reasons for omission were: "unable to distinguish between selective reporting and inadequate planning" (39,3%, N = 282), "inadequate planning" (17%, N = 122), "justified to be not included" (15,1%, N = 108), "incomplete reporting" (8,4%, N = 60), "selective reporting" (3,3%, N = 24) and other situations (e.g., outcome present but no motivation for omission) (5,2%, N = 37). The 11,7% (N = 84) of omitted trials were not assessed due to non-English language or full text not available. CONCLUSIONS: Almost half of the eligible trials were omitted from their index meta-analyses. Better reporting, protocol registration, definition and adoption of core outcome sets are needed to prevent omission of evidence in systematic reviews. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-023-02064-7. BioMed Central 2023-10-21 /pmc/articles/PMC10590516/ /pubmed/37865743 http://dx.doi.org/10.1186/s12874-023-02064-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lazzarini, Stefano Giuseppe
Stella Yousif, Marzia
Bargeri, Silvia
Castellini, Greta
Gianola, Silvia
Reasons for missing evidence in rehabilitation meta-analyses: a cross-sectional meta-research study
title Reasons for missing evidence in rehabilitation meta-analyses: a cross-sectional meta-research study
title_full Reasons for missing evidence in rehabilitation meta-analyses: a cross-sectional meta-research study
title_fullStr Reasons for missing evidence in rehabilitation meta-analyses: a cross-sectional meta-research study
title_full_unstemmed Reasons for missing evidence in rehabilitation meta-analyses: a cross-sectional meta-research study
title_short Reasons for missing evidence in rehabilitation meta-analyses: a cross-sectional meta-research study
title_sort reasons for missing evidence in rehabilitation meta-analyses: a cross-sectional meta-research study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590516/
https://www.ncbi.nlm.nih.gov/pubmed/37865743
http://dx.doi.org/10.1186/s12874-023-02064-7
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