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COVID-19 and Pregnancy: Citation Network Analysis and Evidence Synthesis
BACKGROUND: COVID-19 spread quickly around the world shortly after the first outbreaks of the new coronavirus disease at the end of December 2019, affecting all populations, including pregnant women. OBJECTIVE: The aim of this study was to analyze the relationship between different publications on C...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989383/ https://www.ncbi.nlm.nih.gov/pubmed/35044301 http://dx.doi.org/10.2196/29189 |
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author | Ruiz-Roman, Rebeca Martinez-Perez, Clara Gil Prados, Inés Cristóbal, Ignacio Sánchez-Tena, Miguel Ángel |
author_facet | Ruiz-Roman, Rebeca Martinez-Perez, Clara Gil Prados, Inés Cristóbal, Ignacio Sánchez-Tena, Miguel Ángel |
author_sort | Ruiz-Roman, Rebeca |
collection | PubMed |
description | BACKGROUND: COVID-19 spread quickly around the world shortly after the first outbreaks of the new coronavirus disease at the end of December 2019, affecting all populations, including pregnant women. OBJECTIVE: The aim of this study was to analyze the relationship between different publications on COVID-19 in pregnancy and their authors through citation networks, as well as to identify the research areas and to determine the publication that has been the most highly cited. METHODS: The search for publications was carried out through the Web of Science database using terms such as “pregnancy,” “SARS-CoV-2,” “pregnant,” and “COVID-19” for the period between January and December 2020. Citation Network Explorer software was used for publication analysis and VOSviewer software was used to construct the figures. This approach enabled an in-depth network analysis to visualize the connections between the related elements and explain their network structure. RESULTS: A total of 1330 publications and 5531 citation networks were identified in the search, with July being the month with the largest number of publications, and the United States, China, and England as the countries with the greatest number of publications. The most cited publication was “Clinical characteristics and intrauterine vertical transmission potential of COVID-19 infection in nine pregnant women: a retrospective review of medical records” by Chen and colleagues, which was published in March 2020. Six groups identified as being close in the citation network reflect multidisciplinary research, including clinical characteristics and outcomes in pregnancy, vertical transmission, delivery mode, and psychological impacts of the pandemic on pregnant women. CONCLUSIONS: Thousands of articles on COVID-19 have been published in several journals since the disease first emerged. Identifying relevant publications and obtaining a global view of the main papers published on COVID-19 and pregnancy can lead to a better understanding of the topic. With the accumulation of scientific knowledge, we now know that the clinical features of COVID-19 during pregnancy are generally similar to those of infected nonpregnant women. There is a small increase in frequency of preterm birth and cesarean birth, related to severe maternal illness. Vaccination for all pregnant women is recommended. Several agents are being evaluated for the treatment of COVID-19, but with minimal or no information on safety in pregnancy. These results could form the basis for further research. Future bibliometric and scientometric studies on COVID-19 should provide updated information to analyze other relevant indicators in this field. |
format | Online Article Text |
id | pubmed-8989383 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-89893832022-04-08 COVID-19 and Pregnancy: Citation Network Analysis and Evidence Synthesis Ruiz-Roman, Rebeca Martinez-Perez, Clara Gil Prados, Inés Cristóbal, Ignacio Sánchez-Tena, Miguel Ángel JMIR Pediatr Parent Original Paper BACKGROUND: COVID-19 spread quickly around the world shortly after the first outbreaks of the new coronavirus disease at the end of December 2019, affecting all populations, including pregnant women. OBJECTIVE: The aim of this study was to analyze the relationship between different publications on COVID-19 in pregnancy and their authors through citation networks, as well as to identify the research areas and to determine the publication that has been the most highly cited. METHODS: The search for publications was carried out through the Web of Science database using terms such as “pregnancy,” “SARS-CoV-2,” “pregnant,” and “COVID-19” for the period between January and December 2020. Citation Network Explorer software was used for publication analysis and VOSviewer software was used to construct the figures. This approach enabled an in-depth network analysis to visualize the connections between the related elements and explain their network structure. RESULTS: A total of 1330 publications and 5531 citation networks were identified in the search, with July being the month with the largest number of publications, and the United States, China, and England as the countries with the greatest number of publications. The most cited publication was “Clinical characteristics and intrauterine vertical transmission potential of COVID-19 infection in nine pregnant women: a retrospective review of medical records” by Chen and colleagues, which was published in March 2020. Six groups identified as being close in the citation network reflect multidisciplinary research, including clinical characteristics and outcomes in pregnancy, vertical transmission, delivery mode, and psychological impacts of the pandemic on pregnant women. CONCLUSIONS: Thousands of articles on COVID-19 have been published in several journals since the disease first emerged. Identifying relevant publications and obtaining a global view of the main papers published on COVID-19 and pregnancy can lead to a better understanding of the topic. With the accumulation of scientific knowledge, we now know that the clinical features of COVID-19 during pregnancy are generally similar to those of infected nonpregnant women. There is a small increase in frequency of preterm birth and cesarean birth, related to severe maternal illness. Vaccination for all pregnant women is recommended. Several agents are being evaluated for the treatment of COVID-19, but with minimal or no information on safety in pregnancy. These results could form the basis for further research. Future bibliometric and scientometric studies on COVID-19 should provide updated information to analyze other relevant indicators in this field. JMIR Publications 2022-03-03 /pmc/articles/PMC8989383/ /pubmed/35044301 http://dx.doi.org/10.2196/29189 Text en ©Rebeca Ruiz-Roman, Clara Martinez-Perez, Inés Gil Prados, Ignacio Cristóbal, Miguel Ángel Sánchez-Tena. Originally published in JMIR Pediatrics and Parenting (https://pediatrics.jmir.org), 03.03.2022. 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 JMIR Pediatrics and Parenting, is properly cited. The complete bibliographic information, a link to the original publication on https://pediatrics.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Ruiz-Roman, Rebeca Martinez-Perez, Clara Gil Prados, Inés Cristóbal, Ignacio Sánchez-Tena, Miguel Ángel COVID-19 and Pregnancy: Citation Network Analysis and Evidence Synthesis |
title | COVID-19 and Pregnancy: Citation Network Analysis and Evidence Synthesis |
title_full | COVID-19 and Pregnancy: Citation Network Analysis and Evidence Synthesis |
title_fullStr | COVID-19 and Pregnancy: Citation Network Analysis and Evidence Synthesis |
title_full_unstemmed | COVID-19 and Pregnancy: Citation Network Analysis and Evidence Synthesis |
title_short | COVID-19 and Pregnancy: Citation Network Analysis and Evidence Synthesis |
title_sort | covid-19 and pregnancy: citation network analysis and evidence synthesis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989383/ https://www.ncbi.nlm.nih.gov/pubmed/35044301 http://dx.doi.org/10.2196/29189 |
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