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Robustness of evidence reported in preprints during peer review

Scientists have expressed concern that the risk of flawed decision making is increased through the use of preprint data that might change after undergoing peer review. This Health Policy paper assesses how COVID-19 evidence presented in preprints changes after review. We quantified attrition dynamic...

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Autores principales: Nelson, Lindsay, Ye, Honghan, Schwenn, Anna, Lee, Shinhyo, Arabi, Salsabil, Hutchins, B Ian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553196/
https://www.ncbi.nlm.nih.gov/pubmed/36240832
http://dx.doi.org/10.1016/S2214-109X(22)00368-0
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author Nelson, Lindsay
Ye, Honghan
Schwenn, Anna
Lee, Shinhyo
Arabi, Salsabil
Hutchins, B Ian
author_facet Nelson, Lindsay
Ye, Honghan
Schwenn, Anna
Lee, Shinhyo
Arabi, Salsabil
Hutchins, B Ian
author_sort Nelson, Lindsay
collection PubMed
description Scientists have expressed concern that the risk of flawed decision making is increased through the use of preprint data that might change after undergoing peer review. This Health Policy paper assesses how COVID-19 evidence presented in preprints changes after review. We quantified attrition dynamics of more than 1000 epidemiological estimates first reported in 100 preprints matched to their subsequent peer-reviewed journal publication. Point estimate values changed an average of 6% during review; the correlation between estimate values before and after review was high (0·99) and there was no systematic trend. Expert peer-review scores of preprint quality were not related to eventual publication in a peer-reviewed journal. Uncertainty was reduced during peer review, with CIs reducing by 7% on average. These results support the use of preprints, a component of biomedical research literature, in decision making. These results can also help inform the use of preprints during the ongoing COVID-19 pandemic and future disease outbreaks.
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spelling pubmed-95531962022-10-12 Robustness of evidence reported in preprints during peer review Nelson, Lindsay Ye, Honghan Schwenn, Anna Lee, Shinhyo Arabi, Salsabil Hutchins, B Ian Lancet Glob Health Health Policy Scientists have expressed concern that the risk of flawed decision making is increased through the use of preprint data that might change after undergoing peer review. This Health Policy paper assesses how COVID-19 evidence presented in preprints changes after review. We quantified attrition dynamics of more than 1000 epidemiological estimates first reported in 100 preprints matched to their subsequent peer-reviewed journal publication. Point estimate values changed an average of 6% during review; the correlation between estimate values before and after review was high (0·99) and there was no systematic trend. Expert peer-review scores of preprint quality were not related to eventual publication in a peer-reviewed journal. Uncertainty was reduced during peer review, with CIs reducing by 7% on average. These results support the use of preprints, a component of biomedical research literature, in decision making. These results can also help inform the use of preprints during the ongoing COVID-19 pandemic and future disease outbreaks. The Author(s). Published by Elsevier Ltd. 2022-11 2022-10-11 /pmc/articles/PMC9553196/ /pubmed/36240832 http://dx.doi.org/10.1016/S2214-109X(22)00368-0 Text en © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Health Policy
Nelson, Lindsay
Ye, Honghan
Schwenn, Anna
Lee, Shinhyo
Arabi, Salsabil
Hutchins, B Ian
Robustness of evidence reported in preprints during peer review
title Robustness of evidence reported in preprints during peer review
title_full Robustness of evidence reported in preprints during peer review
title_fullStr Robustness of evidence reported in preprints during peer review
title_full_unstemmed Robustness of evidence reported in preprints during peer review
title_short Robustness of evidence reported in preprints during peer review
title_sort robustness of evidence reported in preprints during peer review
topic Health Policy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553196/
https://www.ncbi.nlm.nih.gov/pubmed/36240832
http://dx.doi.org/10.1016/S2214-109X(22)00368-0
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