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Impact of the COVID-19 pandemic on publication dynamics and non-COVID-19 research production

BACKGROUND: The COVID-19 pandemic has severely affected health systems and medical research worldwide but its impact on the global publication dynamics and non-COVID-19 research has not been measured. We hypothesized that the COVID-19 pandemic may have impacted the scientific production of non-COVID...

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Autores principales: Raynaud, Marc, Goutaudier, Valentin, Louis, Kevin, Al-Awadhi, Solaf, Dubourg, Quentin, Truchot, Agathe, Brousse, Romain, Saleh, Nouredine, Giarraputo, Alessia, Debiais, Charlotte, Demir, Zeynep, Certain, Anaïs, Tacafred, Francine, Cortes-Garcia, Esteban, Yanes, Safia, Dagobert, Jessy, Naser, Sofia, Robin, Blaise, Bailly, Élodie, Jouven, Xavier, Reese, Peter P., Loupy, Alexandre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607966/
https://www.ncbi.nlm.nih.gov/pubmed/34809561
http://dx.doi.org/10.1186/s12874-021-01404-9
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author Raynaud, Marc
Goutaudier, Valentin
Louis, Kevin
Al-Awadhi, Solaf
Dubourg, Quentin
Truchot, Agathe
Brousse, Romain
Saleh, Nouredine
Giarraputo, Alessia
Debiais, Charlotte
Demir, Zeynep
Certain, Anaïs
Tacafred, Francine
Cortes-Garcia, Esteban
Yanes, Safia
Dagobert, Jessy
Naser, Sofia
Robin, Blaise
Bailly, Élodie
Jouven, Xavier
Reese, Peter P.
Loupy, Alexandre
author_facet Raynaud, Marc
Goutaudier, Valentin
Louis, Kevin
Al-Awadhi, Solaf
Dubourg, Quentin
Truchot, Agathe
Brousse, Romain
Saleh, Nouredine
Giarraputo, Alessia
Debiais, Charlotte
Demir, Zeynep
Certain, Anaïs
Tacafred, Francine
Cortes-Garcia, Esteban
Yanes, Safia
Dagobert, Jessy
Naser, Sofia
Robin, Blaise
Bailly, Élodie
Jouven, Xavier
Reese, Peter P.
Loupy, Alexandre
author_sort Raynaud, Marc
collection PubMed
description BACKGROUND: The COVID-19 pandemic has severely affected health systems and medical research worldwide but its impact on the global publication dynamics and non-COVID-19 research has not been measured. We hypothesized that the COVID-19 pandemic may have impacted the scientific production of non-COVID-19 research. METHODS: We conducted a comprehensive meta-research on studies (original articles, research letters and case reports) published between 01/01/2019 and 01/01/2021 in 10 high-impact medical and infectious disease journals (New England Journal of Medicine, Lancet, Journal of the American Medical Association, Nature Medicine, British Medical Journal, Annals of Internal Medicine, Lancet Global Health, Lancet Public Health, Lancet Infectious Disease and Clinical Infectious Disease). For each publication, we recorded publication date, publication type, number of authors, whether the publication was related to COVID-19, whether the publication was based on a case series, and the number of patients included in the study if the publication was based on a case report or a case series. We estimated the publication dynamics with a locally estimated scatterplot smoothing method. A Natural Language Processing algorithm was designed to calculate the number of authors for each publication. We simulated the number of non-COVID-19 studies that could have been published during the pandemic by extrapolating the publication dynamics of 2019 to 2020, and comparing the expected number to the observed number of studies. RESULTS: Among the 22,525 studies assessed, 6319 met the inclusion criteria, of which 1022 (16.2%) were related to COVID-19 research. A dramatic increase in the number of publications in general journals was observed from February to April 2020 from a weekly median number of publications of 4.0 (IQR: 2.8–5.5) to 19.5 (IQR: 15.8–24.8) (p < 0.001), followed afterwards by a pattern of stability with a weekly median number of publications of 10.0 (IQR: 6.0–14.0) until December 2020 (p = 0.045 in comparison with April). Two prototypical editorial strategies were found: 1) journals that maintained the volume of non-COVID-19 publications while integrating COVID-19 research and thus increased their overall scientific production, and 2) journals that decreased the volume of non-COVID-19 publications while integrating COVID-19 publications. We estimated using simulation models that the COVID pandemic was associated with a 18% decrease in the production of non-COVID-19 research. We also found a significant change of the publication type in COVID-19 research as compared with non-COVID-19 research illustrated by a decrease in the number of original articles, (47.9% in COVID-19 publications vs 71.3% in non-COVID-19 publications, p < 0.001). Last, COVID-19 publications showed a higher number of authors, especially for case reports with a median of 9.0 authors (IQR: 6.0–13.0) in COVID-19 publications, compared to a median of 4.0 authors (IQR: 3.0–6.0) in non-COVID-19 publications (p < 0.001). CONCLUSION: In this meta-research gathering publications from high-impact medical journals, we have shown that the dramatic rise in COVID-19 publications was accompanied by a substantial decrease of non-COVID-19 research. META-RESEARCH REGISTRATION: https://osf.io/9vtzp/. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-021-01404-9.
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spelling pubmed-86079662021-11-23 Impact of the COVID-19 pandemic on publication dynamics and non-COVID-19 research production Raynaud, Marc Goutaudier, Valentin Louis, Kevin Al-Awadhi, Solaf Dubourg, Quentin Truchot, Agathe Brousse, Romain Saleh, Nouredine Giarraputo, Alessia Debiais, Charlotte Demir, Zeynep Certain, Anaïs Tacafred, Francine Cortes-Garcia, Esteban Yanes, Safia Dagobert, Jessy Naser, Sofia Robin, Blaise Bailly, Élodie Jouven, Xavier Reese, Peter P. Loupy, Alexandre BMC Med Res Methodol Research Article BACKGROUND: The COVID-19 pandemic has severely affected health systems and medical research worldwide but its impact on the global publication dynamics and non-COVID-19 research has not been measured. We hypothesized that the COVID-19 pandemic may have impacted the scientific production of non-COVID-19 research. METHODS: We conducted a comprehensive meta-research on studies (original articles, research letters and case reports) published between 01/01/2019 and 01/01/2021 in 10 high-impact medical and infectious disease journals (New England Journal of Medicine, Lancet, Journal of the American Medical Association, Nature Medicine, British Medical Journal, Annals of Internal Medicine, Lancet Global Health, Lancet Public Health, Lancet Infectious Disease and Clinical Infectious Disease). For each publication, we recorded publication date, publication type, number of authors, whether the publication was related to COVID-19, whether the publication was based on a case series, and the number of patients included in the study if the publication was based on a case report or a case series. We estimated the publication dynamics with a locally estimated scatterplot smoothing method. A Natural Language Processing algorithm was designed to calculate the number of authors for each publication. We simulated the number of non-COVID-19 studies that could have been published during the pandemic by extrapolating the publication dynamics of 2019 to 2020, and comparing the expected number to the observed number of studies. RESULTS: Among the 22,525 studies assessed, 6319 met the inclusion criteria, of which 1022 (16.2%) were related to COVID-19 research. A dramatic increase in the number of publications in general journals was observed from February to April 2020 from a weekly median number of publications of 4.0 (IQR: 2.8–5.5) to 19.5 (IQR: 15.8–24.8) (p < 0.001), followed afterwards by a pattern of stability with a weekly median number of publications of 10.0 (IQR: 6.0–14.0) until December 2020 (p = 0.045 in comparison with April). Two prototypical editorial strategies were found: 1) journals that maintained the volume of non-COVID-19 publications while integrating COVID-19 research and thus increased their overall scientific production, and 2) journals that decreased the volume of non-COVID-19 publications while integrating COVID-19 publications. We estimated using simulation models that the COVID pandemic was associated with a 18% decrease in the production of non-COVID-19 research. We also found a significant change of the publication type in COVID-19 research as compared with non-COVID-19 research illustrated by a decrease in the number of original articles, (47.9% in COVID-19 publications vs 71.3% in non-COVID-19 publications, p < 0.001). Last, COVID-19 publications showed a higher number of authors, especially for case reports with a median of 9.0 authors (IQR: 6.0–13.0) in COVID-19 publications, compared to a median of 4.0 authors (IQR: 3.0–6.0) in non-COVID-19 publications (p < 0.001). CONCLUSION: In this meta-research gathering publications from high-impact medical journals, we have shown that the dramatic rise in COVID-19 publications was accompanied by a substantial decrease of non-COVID-19 research. META-RESEARCH REGISTRATION: https://osf.io/9vtzp/. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-021-01404-9. BioMed Central 2021-11-22 /pmc/articles/PMC8607966/ /pubmed/34809561 http://dx.doi.org/10.1186/s12874-021-01404-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Article
Raynaud, Marc
Goutaudier, Valentin
Louis, Kevin
Al-Awadhi, Solaf
Dubourg, Quentin
Truchot, Agathe
Brousse, Romain
Saleh, Nouredine
Giarraputo, Alessia
Debiais, Charlotte
Demir, Zeynep
Certain, Anaïs
Tacafred, Francine
Cortes-Garcia, Esteban
Yanes, Safia
Dagobert, Jessy
Naser, Sofia
Robin, Blaise
Bailly, Élodie
Jouven, Xavier
Reese, Peter P.
Loupy, Alexandre
Impact of the COVID-19 pandemic on publication dynamics and non-COVID-19 research production
title Impact of the COVID-19 pandemic on publication dynamics and non-COVID-19 research production
title_full Impact of the COVID-19 pandemic on publication dynamics and non-COVID-19 research production
title_fullStr Impact of the COVID-19 pandemic on publication dynamics and non-COVID-19 research production
title_full_unstemmed Impact of the COVID-19 pandemic on publication dynamics and non-COVID-19 research production
title_short Impact of the COVID-19 pandemic on publication dynamics and non-COVID-19 research production
title_sort impact of the covid-19 pandemic on publication dynamics and non-covid-19 research production
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607966/
https://www.ncbi.nlm.nih.gov/pubmed/34809561
http://dx.doi.org/10.1186/s12874-021-01404-9
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