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

BMC Medical Research Methodology

Safia Yanes¹  Sofia Naser²  Esteban Cortes-Garcia³  Valentin Goutaudier³  Nouredine Saleh³  Romain Brousse³  Xavier Jouven³  Alexandre Loupy³  Kevin Louis³  Agathe Truchot³  Blaise Robin³  Anaïs Certain³  Marc Raynaud³  Zeynep Demir³  Élodie Bailly³  Alessia Giarraputo³  Solaf Al-Awadhi³  Charlotte Debiais³  Francine Tacafred³  Jessy Dagobert³  Quentin Dubourg⁴  Peter P. Reese⁵ 

[1] Kidney Transplantation Department, Necker Hospital, Assistance Publique – Hôpitaux de Paris;Nephrology, Dialysis and Transplantation Department, Hospital Privado Universitario de Cordoba;Paris Translational Research Epidemiology and Biostatistics Department, Université de Paris, INSERM U970, PARCC;Pitié-Salpêtrière University Hospital, Assistance Publique-Hôpitaux de Paris, Sorbonne University;University of Pennsylvania School of Medicine;

关键词: COVID-19;    Meta-research;    Publications;    High-impact journals;   

DOI  :  10.1186/s12874-021-01404-9

来源: DOAJ

【 摘 要 】

Abstract 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/ .

【 授权许可】

Unknown