Análisis de contenido y nivel de evidencia de los artículos sobre Covid-19 más citados en la Web of Science

  1. José-Antonio Salvador-Oliván 1
  2. Gonzalo Marco-Cuenca 1
  3. Rosario Arquero-Avilés 2
  1. 1 Universidad de Zaragoza
    info

    Universidad de Zaragoza

    Zaragoza, España

    ROR https://ror.org/012a91z28

  2. 2 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

Revista:
El profesional de la información

ISSN: 1386-6710,  1699-2407

Año de publicación: 2021

Título del ejemplar: Democracia / Democracy

Volumen: 30

Número: 6

Tipo: Artículo

DOI: 10.3145/EPI.2021.NOV.17 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: El profesional de la información

Resumen

El crecimiento sin precedentes de la bibliografía científica sobre Covid-19 y la rapidez en su publicación ha llevado a cuestionar la calidad y el proceso de revisión por pares. Este estudio tiene como objetivo analizar las características de las publicaciones con mayor impacto sobre Covid-19, principalmente las relacionadas con el contenido, la calidad y nivel de evidencia de los estudios. Para ello, se buscó en la colección principal de Web of Science los artículos que contenían los términos Covid-19 y SARS-CoV-2 en el campo del título y se seleccionaron los 100 artículos más citados publicados en el año 2020. Además de los datos bibliográficos, se recogieron datos de las fechas de envío, aceptación y publicación en las revistas, principales temas tratados, tipo de estudio y nivel de evidencia según la escala SIGN, así como de la presencia de correcciones. Más de la mitad de los artículos están publicados en 3 revistas, y la mayoría de ellos en los primeros meses de 2020. Los tipos de estudios más frecuentes son series de casos, revisiones narrativas y opiniones de expertos, con solo 1 ensayo clínico controlado aleatorizado. El contenido de los artículos trata principalmente de las características clínicas y complicaciones de los enfermos, métodos diagnósticos y de tratamiento, así como de la epidemiología y características del virus. Los artículos presentan un nivel de evidencia bajo, a pesar de estar publicados en revistas de medicina con muy alto factor de impacto. El tiempo transcurrido entre la fecha de envío y de publicación es muy corto y cuestiona la realización y/o rigor del proceso de revisión por pares.

Referencias bibliográficas

  • Afshar, Ahmadreza; Trabrizi, Ali (2020). “Bibliometric analysis of the 100 highly-cited articles about Covid-19”. The archives of bone and joint surgery, v. 8, n. 6, pp. 748-756. https://doi.org/10.22038/abjs.2020.51846.2556
  • Alba-Ruiz, Rubén (2020). “Covid-19, coronavirus pandemic: aproximación bibliométrica y revisión de los resultados”. Zenodo, 31 marzo. https://doi.org/10.5281/zenodo.3734062
  • Amat, Carlos B. (2008). “Editorial and publication delay of papers submitted to 14 selected food research journals. Influence of online posting”. Scientometrics, v. 74, n. 3, pp. 379-389. https://doi.org/10.1007/s11192-007-1823-8
  • Armstrong, Stephen (2020). “Research on Covid-19 is suffering ‘imperfect incentives at every stage’”. British medical journal, v. 369, m2045. https://doi.org/10.1136/bmj.m2045
  • Baird, A. Gordon; Lawrence, James R. (2014). “Guidelines: Is bigger better? A review of SIGN guidelines”. Bristish medical journal open, v. 4, n. 2, e004278. https://doi.org/10.1136/bmjopen-2013-004278
  • Björk, Bo-Christer; Solomon, David (2013). “The publishing delay in scholarly peer-reviewed journals”. Journal of informetrics, v. 7, n. 4, pp. 914-923. https://doi.org/10.1016/j.joi.2013.09.001
  • Borku-Uysal, Betul; Sami-Islamoglu, Mehmet; Koc, Suna; Karadag, Mehmet; Dokur, Mehmet (2021). “Most notable 100 articles of Covid-19: an altmetric study based on bibliometric analysis”. Irish journal of medical science, n. 190, pp. 1335-1341. https://doi.org/10.1007/s11845-020-02460-8
  • Bornmann, Lutz; Thor, Andreas; Marx, Werner; Schier, Hermann (2016). “The application of bibliometrics to research evaluation in the Humanities and Social Sciences: An exploratory study using normalized Google Scholar data for the publications of a research institute”. Journal of the American Society for Information Science and Technology, v. 67, n. 11, pp. 2778-2789. https://doi.org/10.1002/asi.23627
  • Brainard, Jeffrey (2020). “Scientists are drowning in Covid-19 papers. Can new tools keep them afloat?”. Science, v. 80. https://doi.org/10.1126/science.abc7839
  • Da-Motta-Reis, José-Salvador; De-Oliveira-Silva, Fernanda; Espuny, Maximilian; Lescura-Alexandre, Larah-Giffoni; Motta-Marbosa, Luis-César-Ferreira; Munhoz-Bonassa, Ana-Claudia; Marcondex-Faria, Amanda; De-Souza-Sampaio, Nilo-Antonio; Santos, Gilberto; De-Oliveira, Otávio-José (2020). “The rapid escalation of publications on Covid-19: A snapshot of trends in the early months to overcome the pandemic and to improve life quality”. International journal for quality research, v. 14, n. 3, pp. 951-968. https://doi.org/10.24874/IJQR14.03-19
  • Deng, Ziqin; Chen, Junsheng; Wang, Ting (2020). “Bibliometric and visualization analysis of human coronaviruses: Prospects and implications for Covid-19 research”. Frontiers in cellular and infection microbiology, v. 10, 581404. https://doi.org/10.3389/fcimb.2020.581404
  • Djulbegovic, Benjamin; Guyatt, Gordon H. (2017). “Progress in evidence-based medicine: a quarter century on”. The lancet, v. 390, n. 10092, pp. 415-423. https://doi.org/10.1016/S0140-6736(16)31592-6
  • ElHawary, Hassan; Salimi, Ali; Diab, Nermin; Smith, Lee (2020). “Bibliometric analysis of early Covid-19 research: The top 50 cited papers”. Infectious diseases: research and treatment, v. 13, 1178633720962935. https://doi.org/10.1177/1178633720962935
  • Estrada-Lorenzo, José-Manuel; Medino-Muñoz, Juan; Rebollo-Rodríguez, María-José; Campos-Asensio, Concepción; Primo-Peña, Elena (2021). “Consecuencias en la producción científica de la Covid-19”. Revista española de salud pública, v. 95, e202105072. https://www.mscbs.gob.es/biblioPublic/publicaciones/recursos_propios/resp/revista_cdrom/VOL95/C_ESPECIALES/RS95C_202105072.pdf
  • Fan, Jingchun; Gao, Ya; Zhao, Na; Dai, Runjing; Zhang, Hailiang; Feng, Xiaoyan; Shi, Guoxiu; Tian, Jinhui; Chen, Che; Hambly, Brett D. (2020). “Bibliometric analysis on Covid-19: A comparison of research between English and Chinese studies”. Frontiers in public health, v. 8, 477. https://doi.org/10.3389/fpubh.2020.00477
  • Farooq, Rai K.; Rehman, Shafiq-Ur; Ashiq, Murtaza; Siddique, Nadeem; Ahmad, Shakil (2021). “Bibliometric analysis of coronavirus disease (Covid-19) literature published in Web of Science 2019-2020”. Journal of family and community medicine, v. 28, n. 1. https://doi.org/10.4103/jfcm.JFCM_332_20
  • Furstenau, Leonardo B.; Rabaioli, Bruna; Kremer-Sott, Michele; Cossul, Danielli; Sott-Bender, Mariluza; Moreno-Júdice-de-Mattos-Farina, Eduardo; Novaes-Barcellos-Filho, Fabiano; Paola-Severo, Priscilla; Dohan, Michael S.; Luigi-Bragazzi, Nicola (2021). “A bibliometric network analysis of coronavirus during the first eight months of Covid-19 in 2020”. International journal of environmental research and public health, v. 18, n. 3, 952. https://doi.org/10.3390/ijerph18030952
  • Ghebreyesus, Tedros-Adhanom; Swaminathan, Soumya (2020). “Scientists are sprinting to outpace the novel coronavirus”. The lancet, v. 395, n. 10226, pp. 762-764. https://doi.org/10.1016/S0140-6736(20)30420-7
  • Grammes, Nadja; Millenaar, Dominic; Fehlmann, Tobias; Kern, Fabian; Böhm, Michael; Mahfoud, Felix; Keller, Andreas (2020). “Research output and international cooperation among countries during the Covid-19 pandemic: Scientometric analysis”. Journal of medical internet research, v. 22, n. 12, e35414. https://doi.org/10.2196/24514
  • Greenhalgh, Trisha (2016). Cómo leer un artículo científico. Las bases de la medicina basada en la evidencia. 5ª edición. Barcelona: Elsevier España. ISBN: 978 84 9022 945 3
  • Haghani, Milad; Bliemer, Michiel C. J. (2020). “Covid-19 pandemic and the unprecedented mobilisation of scholarly efforts prompted by a health crisis: Scientometric comparisons across SARS, MERS and 2019-nCoV literature”. Scientometrics, n. 125, pp. 2695-2726. https://doi.org/10.1007/s11192-020-03706-z
  • Haghani, Milad; Bliemer, Michiel C. J.; Goerland, Floris; Li, Jie (2020). “The scientific literature on coronaviruses, Covid-19 and its associated safety-related research dimensions: A scientometric analysis and scoping review”. Safety science, v. 129, 104806. https://doi.org/10.1016/j.ssci.2020.104806
  • Horbach, Serge P. J. M. (2020). “Pandemic publishing: Medical journals strongly speed up their publication process for Covid-19”. Quantitative science studies, v. 1, n. 3, pp. 1056-1067. https://doi.org/10.1162/qss_a_00076
  • Huang, Chaolin; Wang, Yeming; Li, Xingwang; Ren, Lili; Zhao, Jianping; Hu, Yi; Zhang, Li; Fan, Guohui; Xu, Jiuyang; Gu, Xiaoying; Cheng, Zhenshun; Yu, Ting; Xia, Jiaan; Wei, Yuan; Wu, Wenjuan; Xie, Xuelei; Yin, Wen; Li, Hui; Liu, Min; Xiao, Yan; Gao, Hong; Guo, Li; Xie, Jungang; Wang, Guangfa; Jiang, Rongmeng; Gao, Zhancheng; Jin, Qi; Wang, Jianwei; Cao, Bin (2020). “Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China”. The lancet, v. 395, n. 10223, pp. 497-506. https://doi.org/10.1016/S0140-6736(20)30183-5
  • Jacimovic, Jelena; Jakovljevic, Aleksandar; Nagendrababu, Venkateshbabu; Fergus-Duncan, Henry; Dummer, Paul M. H. (2021). “A bibliometric analysis of the dental scientific literature on Covid-19”. Clinical oral investigations, n. 25, pp. 6171-6183. https://doi.org/10.1007/s00784-021-03916-6
  • Ji, Bin; Zhao, Yaqian; Wei, Ting; Kang, Peiying (2021). “Water science under the global epidemic of Covid-19: Bibliometric tracking on Covid-19 publication and further research needs”. Journal of environmental chemical engineering, v. 9, n. 4, 105357. https://doi.org/10.1016/j.jece.2021.105357
  • Kambakamba, Patrik; Geoghegan, Jemma; Hoti, Emir (2020) “The peer review at high risk from Covid-19 - Are we socially distancing from scientific quality control?”. British journal of surgery, v. 107, n. 9, e334-e335. https://doi.org/10.1002/bjs.11785
  • Kodvanj, Ivan; Homolak, Jan; Virag, Davor; Trkulja, Vladimir (2020). “Publishing of Covid-19 preprints in peer-reviewed journals, preprinting trends, public discussion and quality issues”. bioRxiv. https://doi.org/10.1101/2020.11.23.394577
  • Lander, Bryn; Balka, Ellen (2019). “Exploring how evidence is used in care through an organizational ethnography of two teaching hospitals”. Journal of medical internet research, v. 21, n. 3, e10769. https://doi.org/10.2196/10769
  • National Library of Medicine (2021). PubMed user guide. https://pubmed.ncbi.nlm.nih.gov/help/#searching-specific-field
  • Pericàs, Juan M.; Arenas, Andrea; Torrallardona-Murphy, Orla; Valero, Helena; Nicolás, David (2020). “Published evidence on Covid-19 in top-ranked journals: A descriptive study”. European journal of internal medicine, v. 79, pp. 120-122. https://doi.org/10.1016/j.ejim.2020.07.005
  • Phelan, Alexandra L.; Katz, Rebecca; Gostin, Lawrence O. (2020). “The novel coronavirus originating in Wuhan, China: Challenges for global health governance”. Journal of the American Medical Association, v. 323, n. 8, pp. 709-710. https://doi.org/10.1001/jama.2020.1097
  • SIGN. Scottish Intercollegiate Guidelines Network (2011). SIGN 50. A guideline developer´s handbook. https://www.sign.ac.uk/our-guidelines/sign-50-a-guideline-developers-handbook
  • Sohrabi, Catrin; Alsafi, Zaid; O’Neill, Niamh; Khan, Mehdi; Kerwan, Ahmed; Aljabir, Ahmed; Iosifidis, Christos; Agha, Riaz (2020). “World Health Organization declares global emergency: A review of the 2019 novel coronavirus (Covid-19)”. International journal of surgery, v. 76, pp. 71-76. https://doi.org/10.1016/j.ijsu.2020.02.034
  • Soltani, Parisa; Patini, Romeo (2020). “Retracted Covid-19 articles: a side-effect of the hot race to publication”. Scientometrics, v. 125, n. 1, pp. 819-822. https://doi.org/10.1007/s11192-020-03661-9
  • Torres-Salinas, Daniel (2020). “Ritmo de crecimiento diario de la producción científica sobre Covid-19. Análisis en bases de datos y repositorios en acceso abierto”. El profesional de la información, v. 29, n. 2, e290215. https://doi.org/10.3145/epi.2020.mar.15
  • Wang, Jing; Deng, Huan; Liu, Bagntao; Hu, Anbin; Liang, Jun; Fab, Lingye; Zheng, Xu; Wang, Tong; Lei, Jianbo (2020). “Systematic evaluation of research progress on natural language processing in medicine over the past 20 years: Bibliometric study on Pubmed”. Journal of medical internet research, v. 22, n. 1, e16816. https://doi.org/10.2196/16816
  • World Health Organization (2020). Coronavirus disease (Covid-19) Pandemic. https://www.who.int/emergencies/diseases/novel-coronavirus-2019
  • Yang, Fan; Zhang, Shuaijie; Wang, Qing; Zhang, Qi; Han, Junming; Wang, Lijie; Wu, Xinying; Xue, Fuzhong (2020). “Analysis of the global situation of Covid-19 research based on bibliometrics”. Health information science and systems, v. 8, n. 1, 30. https://doi.org/10.1007/s13755-020-00120-w
  • Yu, Yuetian; Li, Tujie; Zhang, Zhongheng; Gu, Zhichun; Zhong, Han; Zha, Qiongfang; Yang, Luyu; Zhu, Cheng; Chen, Erzhen (2020). “A bibliometric analysis using VOSviewer of publications on Covid-19”. Annals of translational medicine, v. 8, n. 13, pp. 816-816. https://doi.org/10.21037/atm-20-4235
  • Zdravkovic, Marco; Berger-Estilita, Joana; Zdravkovic, Bogdan; Berger, David (2020). “Scientific quality of Covid-19 and SARS CoV-2 publications in the highest impact medical journals during the early phase of the pandemic: A case control study”. Plos one, v. 16, n. 4. https://doi.org/10.1371/journal.pone.0241826
  • Zhou, Yi; Chen, Liyu (2020). “Twenty-year span of global coronavirus research trends: A bibliometric analysis”. International journal of environmental research and public health, v. 17, n. 9, 3082. https://doi.org/10.3390/ijerph17093082
Fuente de los datos: Dialnet