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A bibliometric analysis of global research output on network meta-analysis
BACKGROUND: Network meta-analysis (NMA) has been widely used in the field of medicine and health, but the research topics and development trends are still unclear. This study aimed to identify the cooperation of countries and institutes and explore the hot topics and future prospects in the field of...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8094555/ https://www.ncbi.nlm.nih.gov/pubmed/33941172 http://dx.doi.org/10.1186/s12911-021-01470-5 |
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author | Shi, Jiyuan Gao, Ya Ming, Liu Yang, Kelu Sun, Yue Chen, Ji Shi, Shuzhen Geng, Jie Li, Lun Wu, Jiarui Tian, Jinhui |
author_facet | Shi, Jiyuan Gao, Ya Ming, Liu Yang, Kelu Sun, Yue Chen, Ji Shi, Shuzhen Geng, Jie Li, Lun Wu, Jiarui Tian, Jinhui |
author_sort | Shi, Jiyuan |
collection | PubMed |
description | BACKGROUND: Network meta-analysis (NMA) has been widely used in the field of medicine and health, but the research topics and development trends are still unclear. This study aimed to identify the cooperation of countries and institutes and explore the hot topics and future prospects in the field of NMA. METHODS: Data of publications were downloaded from the Web of Science Core Collection. We used CiteSpace V, HistCite 2.1, and Excel 2016 to analyze literature information, including years, journals, countries, institutes, authors, keywords, and co-cited references. RESULTS: NMA research developed gradually before 2010 and rapidly in the following years. 2846 NMA studies were published in 771 journals in six languages. The PLoS One (110, 3.9%) was the most productive journal, and N Engl J Med (5904 co-citations) was the most co-cited journal. The most productive country was the United States (889, 31%) and the most productive institute was the University of Bristol (113, 4.0%). The active collaborations were observed between developed countries and between productive institutes. Of the top 10 authors, four were from the UK, and among the top 10 co-cited authors, six were from the UK. Randomized evidence, oral anti-diabetic drugs, coronary artery bypass, certolizumab pegol, non-valvular atrial fibrillation, and second-line antihyperglycemic therapy were the hot topics in this field. CONCLUSIONS: NMA studies have significantly increased over the past decade, especially from 2015 to 2017. Compared with developing countries, developed countries have contributed more to these publications and have closer cooperation, indicating that cooperation between developed and developing countries should be further strengthened. The treatment of diabetes, cardiovascular diseases, and immune rheumatism are the main hot topics. |
format | Online Article Text |
id | pubmed-8094555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-80945552021-05-05 A bibliometric analysis of global research output on network meta-analysis Shi, Jiyuan Gao, Ya Ming, Liu Yang, Kelu Sun, Yue Chen, Ji Shi, Shuzhen Geng, Jie Li, Lun Wu, Jiarui Tian, Jinhui BMC Med Inform Decis Mak Research Article BACKGROUND: Network meta-analysis (NMA) has been widely used in the field of medicine and health, but the research topics and development trends are still unclear. This study aimed to identify the cooperation of countries and institutes and explore the hot topics and future prospects in the field of NMA. METHODS: Data of publications were downloaded from the Web of Science Core Collection. We used CiteSpace V, HistCite 2.1, and Excel 2016 to analyze literature information, including years, journals, countries, institutes, authors, keywords, and co-cited references. RESULTS: NMA research developed gradually before 2010 and rapidly in the following years. 2846 NMA studies were published in 771 journals in six languages. The PLoS One (110, 3.9%) was the most productive journal, and N Engl J Med (5904 co-citations) was the most co-cited journal. The most productive country was the United States (889, 31%) and the most productive institute was the University of Bristol (113, 4.0%). The active collaborations were observed between developed countries and between productive institutes. Of the top 10 authors, four were from the UK, and among the top 10 co-cited authors, six were from the UK. Randomized evidence, oral anti-diabetic drugs, coronary artery bypass, certolizumab pegol, non-valvular atrial fibrillation, and second-line antihyperglycemic therapy were the hot topics in this field. CONCLUSIONS: NMA studies have significantly increased over the past decade, especially from 2015 to 2017. Compared with developing countries, developed countries have contributed more to these publications and have closer cooperation, indicating that cooperation between developed and developing countries should be further strengthened. The treatment of diabetes, cardiovascular diseases, and immune rheumatism are the main hot topics. BioMed Central 2021-05-03 /pmc/articles/PMC8094555/ /pubmed/33941172 http://dx.doi.org/10.1186/s12911-021-01470-5 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 Shi, Jiyuan Gao, Ya Ming, Liu Yang, Kelu Sun, Yue Chen, Ji Shi, Shuzhen Geng, Jie Li, Lun Wu, Jiarui Tian, Jinhui A bibliometric analysis of global research output on network meta-analysis |
title | A bibliometric analysis of global research output on network meta-analysis |
title_full | A bibliometric analysis of global research output on network meta-analysis |
title_fullStr | A bibliometric analysis of global research output on network meta-analysis |
title_full_unstemmed | A bibliometric analysis of global research output on network meta-analysis |
title_short | A bibliometric analysis of global research output on network meta-analysis |
title_sort | bibliometric analysis of global research output on network meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8094555/ https://www.ncbi.nlm.nih.gov/pubmed/33941172 http://dx.doi.org/10.1186/s12911-021-01470-5 |
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