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Comparison of Reporting and Transparency in Published Protocols and Publications in Umbrella Reviews: Scoping Review

BACKGROUND: Inconsistencies between a protocol and its umbrella review (UR) may mislead readers about the importance of findings or lead to false-positive results. Furthermore, not documenting and explaining inconsistencies in the UR could reduce its transparency. To our knowledge, no study has exam...

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Detalles Bibliográficos
Autores principales: Zhao, Liang, Shen, Caiyi, Liu, Ming, Zhang, Jiaoyan, Cheng, Luying, Li, Yuanyuan, Yuan, Lanbin, Zhang, Junhua, Tian, Jinhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10433027/
https://www.ncbi.nlm.nih.gov/pubmed/37531172
http://dx.doi.org/10.2196/43299
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author Zhao, Liang
Shen, Caiyi
Liu, Ming
Zhang, Jiaoyan
Cheng, Luying
Li, Yuanyuan
Yuan, Lanbin
Zhang, Junhua
Tian, Jinhui
author_facet Zhao, Liang
Shen, Caiyi
Liu, Ming
Zhang, Jiaoyan
Cheng, Luying
Li, Yuanyuan
Yuan, Lanbin
Zhang, Junhua
Tian, Jinhui
author_sort Zhao, Liang
collection PubMed
description BACKGROUND: Inconsistencies between a protocol and its umbrella review (UR) may mislead readers about the importance of findings or lead to false-positive results. Furthermore, not documenting and explaining inconsistencies in the UR could reduce its transparency. To our knowledge, no study has examined the methodological consistency of the protocols with their URs and assessed the transparency of the URs when generating evidence. OBJECTIVE: This study aimed to investigate the inconsistency of protocols with their URs in the methodology and assess the transparency of the URs. METHODS: We searched medical-related electronic databases from their inception to January 1, 2022. We investigated inconsistencies between protocols and their publications and transparencies in the search strategy, inclusion criteria, methods of screening and data extraction, quality assessment, and statistical analysis. RESULTS: We included 31 protocols and 35 publications. For the search strategy, 39 inconsistencies between the protocols and their publications were found in 26 of the 35 (74%) URs, and 16 of these inconsistencies were indicated and explained. There were 84 inconsistencies between the protocols and their URs regarding the inclusion criteria in 31 of the 35 (89%) URs, and 29 of the inconsistencies were indicated and explained. Deviations from their protocols were found in 12 of the 32 (38%) URs reporting the methods of screening, 14 of the 30 (47%) URs reporting the methods of data extraction, and 11 of the 32 (34%) URs reporting the methods for quality assessment. Of the 35 URs, 6 (17%) were inconsistent with their protocols in terms of the tools for quality assessment; one-half (3/6, 50%) of them indicated and explained the deviations. As for the statistical analysis, 31 of the 35 (89%) URs generated 61 inconsistencies between the publications and their protocols, and 16 inconsistencies were indicated and explained. CONCLUSIONS: There was a high prevalence of inconsistencies between protocols and publications of URs, and more than one-half of the inconsistencies were not indicated and explained in the publications. Therefore, how to promote the transparency of URs will be a major part of future work.
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spelling pubmed-104330272023-08-18 Comparison of Reporting and Transparency in Published Protocols and Publications in Umbrella Reviews: Scoping Review Zhao, Liang Shen, Caiyi Liu, Ming Zhang, Jiaoyan Cheng, Luying Li, Yuanyuan Yuan, Lanbin Zhang, Junhua Tian, Jinhui J Med Internet Res Original Paper BACKGROUND: Inconsistencies between a protocol and its umbrella review (UR) may mislead readers about the importance of findings or lead to false-positive results. Furthermore, not documenting and explaining inconsistencies in the UR could reduce its transparency. To our knowledge, no study has examined the methodological consistency of the protocols with their URs and assessed the transparency of the URs when generating evidence. OBJECTIVE: This study aimed to investigate the inconsistency of protocols with their URs in the methodology and assess the transparency of the URs. METHODS: We searched medical-related electronic databases from their inception to January 1, 2022. We investigated inconsistencies between protocols and their publications and transparencies in the search strategy, inclusion criteria, methods of screening and data extraction, quality assessment, and statistical analysis. RESULTS: We included 31 protocols and 35 publications. For the search strategy, 39 inconsistencies between the protocols and their publications were found in 26 of the 35 (74%) URs, and 16 of these inconsistencies were indicated and explained. There were 84 inconsistencies between the protocols and their URs regarding the inclusion criteria in 31 of the 35 (89%) URs, and 29 of the inconsistencies were indicated and explained. Deviations from their protocols were found in 12 of the 32 (38%) URs reporting the methods of screening, 14 of the 30 (47%) URs reporting the methods of data extraction, and 11 of the 32 (34%) URs reporting the methods for quality assessment. Of the 35 URs, 6 (17%) were inconsistent with their protocols in terms of the tools for quality assessment; one-half (3/6, 50%) of them indicated and explained the deviations. As for the statistical analysis, 31 of the 35 (89%) URs generated 61 inconsistencies between the publications and their protocols, and 16 inconsistencies were indicated and explained. CONCLUSIONS: There was a high prevalence of inconsistencies between protocols and publications of URs, and more than one-half of the inconsistencies were not indicated and explained in the publications. Therefore, how to promote the transparency of URs will be a major part of future work. JMIR Publications 2023-08-02 /pmc/articles/PMC10433027/ /pubmed/37531172 http://dx.doi.org/10.2196/43299 Text en ©Liang Zhao, Caiyi Shen, Ming Liu, Jiaoyan Zhang, Luying Cheng, Yuanyuan Li, Lanbin Yuan, Junhua Zhang, Jinhui Tian. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 02.08.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Zhao, Liang
Shen, Caiyi
Liu, Ming
Zhang, Jiaoyan
Cheng, Luying
Li, Yuanyuan
Yuan, Lanbin
Zhang, Junhua
Tian, Jinhui
Comparison of Reporting and Transparency in Published Protocols and Publications in Umbrella Reviews: Scoping Review
title Comparison of Reporting and Transparency in Published Protocols and Publications in Umbrella Reviews: Scoping Review
title_full Comparison of Reporting and Transparency in Published Protocols and Publications in Umbrella Reviews: Scoping Review
title_fullStr Comparison of Reporting and Transparency in Published Protocols and Publications in Umbrella Reviews: Scoping Review
title_full_unstemmed Comparison of Reporting and Transparency in Published Protocols and Publications in Umbrella Reviews: Scoping Review
title_short Comparison of Reporting and Transparency in Published Protocols and Publications in Umbrella Reviews: Scoping Review
title_sort comparison of reporting and transparency in published protocols and publications in umbrella reviews: scoping review
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10433027/
https://www.ncbi.nlm.nih.gov/pubmed/37531172
http://dx.doi.org/10.2196/43299
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