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Recent meta-analyses neglect previous systematic reviews and meta-analyses about the same topic: a systematic examination
BACKGROUND: As the number of systematic reviews is growing rapidly, we systematically investigate whether meta-analyses published in leading medical journals present an outline of available evidence by referring to previous meta-analyses and systematic reviews. METHODS: We searched PubMed for recent...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4411715/ https://www.ncbi.nlm.nih.gov/pubmed/25889502 http://dx.doi.org/10.1186/s12916-015-0317-4 |
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author | Helfer, Bartosz Prosser, Aaron Samara, Myrto T Geddes, John R Cipriani, Andrea Davis, John M Mavridis, Dimitris Salanti, Georgia Leucht, Stefan |
author_facet | Helfer, Bartosz Prosser, Aaron Samara, Myrto T Geddes, John R Cipriani, Andrea Davis, John M Mavridis, Dimitris Salanti, Georgia Leucht, Stefan |
author_sort | Helfer, Bartosz |
collection | PubMed |
description | BACKGROUND: As the number of systematic reviews is growing rapidly, we systematically investigate whether meta-analyses published in leading medical journals present an outline of available evidence by referring to previous meta-analyses and systematic reviews. METHODS: We searched PubMed for recent meta-analyses of pharmacological treatments published in high impact factor journals. Previous systematic reviews and meta-analyses were identified with electronic searches of keywords and by searching reference sections. We analyzed the number of meta-analyses and systematic reviews that were cited, described and discussed in each recent meta-analysis. Moreover, we investigated publication characteristics that potentially influence the referencing practices. RESULTS: We identified 52 recent meta-analyses and 242 previous meta-analyses on the same topics. Of these, 66% of identified previous meta-analyses were cited, 36% described, and only 20% discussed by recent meta-analyses. The probability of citing a previous meta-analysis was positively associated with its publication in a journal with a higher impact factor (odds ratio, 1.49; 95% confidence interval, 1.06 to 2.10) and more recent publication year (odds ratio, 1.19; 95% confidence interval 1.03 to 1.37). Additionally, the probability of a previous study being described by the recent meta-analysis was inversely associated with the concordance of results (odds ratio, 0.38; 95% confidence interval, 0.17 to 0.88), and the probability of being discussed was increased for previous studies that employed meta-analytic methods (odds ratio, 32.36; 95% confidence interval, 2.00 to 522.85). CONCLUSIONS: Meta-analyses on pharmacological treatments do not consistently refer to and discuss findings of previous meta-analyses on the same topic. Such neglect can lead to research waste and be confusing for readers. Journals should make the discussion of related meta-analyses mandatory. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12916-015-0317-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4411715 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44117152015-04-29 Recent meta-analyses neglect previous systematic reviews and meta-analyses about the same topic: a systematic examination Helfer, Bartosz Prosser, Aaron Samara, Myrto T Geddes, John R Cipriani, Andrea Davis, John M Mavridis, Dimitris Salanti, Georgia Leucht, Stefan BMC Med Research Article BACKGROUND: As the number of systematic reviews is growing rapidly, we systematically investigate whether meta-analyses published in leading medical journals present an outline of available evidence by referring to previous meta-analyses and systematic reviews. METHODS: We searched PubMed for recent meta-analyses of pharmacological treatments published in high impact factor journals. Previous systematic reviews and meta-analyses were identified with electronic searches of keywords and by searching reference sections. We analyzed the number of meta-analyses and systematic reviews that were cited, described and discussed in each recent meta-analysis. Moreover, we investigated publication characteristics that potentially influence the referencing practices. RESULTS: We identified 52 recent meta-analyses and 242 previous meta-analyses on the same topics. Of these, 66% of identified previous meta-analyses were cited, 36% described, and only 20% discussed by recent meta-analyses. The probability of citing a previous meta-analysis was positively associated with its publication in a journal with a higher impact factor (odds ratio, 1.49; 95% confidence interval, 1.06 to 2.10) and more recent publication year (odds ratio, 1.19; 95% confidence interval 1.03 to 1.37). Additionally, the probability of a previous study being described by the recent meta-analysis was inversely associated with the concordance of results (odds ratio, 0.38; 95% confidence interval, 0.17 to 0.88), and the probability of being discussed was increased for previous studies that employed meta-analytic methods (odds ratio, 32.36; 95% confidence interval, 2.00 to 522.85). CONCLUSIONS: Meta-analyses on pharmacological treatments do not consistently refer to and discuss findings of previous meta-analyses on the same topic. Such neglect can lead to research waste and be confusing for readers. Journals should make the discussion of related meta-analyses mandatory. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12916-015-0317-4) contains supplementary material, which is available to authorized users. BioMed Central 2015-04-14 /pmc/articles/PMC4411715/ /pubmed/25889502 http://dx.doi.org/10.1186/s12916-015-0317-4 Text en © Helfer et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Helfer, Bartosz Prosser, Aaron Samara, Myrto T Geddes, John R Cipriani, Andrea Davis, John M Mavridis, Dimitris Salanti, Georgia Leucht, Stefan Recent meta-analyses neglect previous systematic reviews and meta-analyses about the same topic: a systematic examination |
title | Recent meta-analyses neglect previous systematic reviews and meta-analyses about the same topic: a systematic examination |
title_full | Recent meta-analyses neglect previous systematic reviews and meta-analyses about the same topic: a systematic examination |
title_fullStr | Recent meta-analyses neglect previous systematic reviews and meta-analyses about the same topic: a systematic examination |
title_full_unstemmed | Recent meta-analyses neglect previous systematic reviews and meta-analyses about the same topic: a systematic examination |
title_short | Recent meta-analyses neglect previous systematic reviews and meta-analyses about the same topic: a systematic examination |
title_sort | recent meta-analyses neglect previous systematic reviews and meta-analyses about the same topic: a systematic examination |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4411715/ https://www.ncbi.nlm.nih.gov/pubmed/25889502 http://dx.doi.org/10.1186/s12916-015-0317-4 |
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