Cargando…
Pharmacovigilance for rare diseases: a bibliometrics and knowledge-map analysis based on web of science
OBJECTIVES: The aims of this paper is to search and explore publications in the field of pharmacovigilance for rare diseases and to visualize general information, research hotspots, frontiers and future trends in the field using the bibliometric tool CiteSpace to provide evidence-based evidence for...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10523788/ https://www.ncbi.nlm.nih.gov/pubmed/37752556 http://dx.doi.org/10.1186/s13023-023-02915-y |
_version_ | 1785110637046661120 |
---|---|
author | Xu, Mengdan Li, Guozhi Li, Jiazhao Xiong, Huiyu He, Suzhen |
author_facet | Xu, Mengdan Li, Guozhi Li, Jiazhao Xiong, Huiyu He, Suzhen |
author_sort | Xu, Mengdan |
collection | PubMed |
description | OBJECTIVES: The aims of this paper is to search and explore publications in the field of pharmacovigilance for rare diseases and to visualize general information, research hotspots, frontiers and future trends in the field using the bibliometric tool CiteSpace to provide evidence-based evidence for scholars. METHODS: We searched the Web of Science Core Collection (WoSCC) for studies related to pharmacovigilance for rare diseases, spanning January 1, 1997-October 25, 2022. CiteSpace software was utilized to discuss countries/regions, institutions, authors, journals, and keywords. RESULTS: After screening, a total of 599 valid publications were included in this study, with a significant upward trend in the number of publications. These studies were from 68 countries/regions with the United States and the United Kingdom making the largest contributions to the field. 4,806 research scholars from 493 institutions conducted studies on pharmacovigilance for rare diseases. Harvard University and University of California were the top two productive institutions in the research field. He Dian of the Affiliated Hospital of Guizhou Medical University and Peter G.M. Mol of the University of Groningen, The Netherlands, were the two most prolific researchers. The Cochrane Database of Systematic Reviews and the New England Journal of Medicine were the journals with the highest number of articles and co-citation frequency respectively. Clinical trial, therapy and adverse event were the top three most cited keywords. CONCLUSIONS: Based on keywords co-occurrence analysis, four research topics were identified: orphan drug clinical trials, postmarketing ADR surveillance for orphan drugs, rare diseases and orphan drug management, and diagnosis and treatment of rare diseases. Immune-related adverse reactions and benefit-risk assessment of enzyme replacement therapy were at the forefront of research in this field. Treatment outcomes, early diagnosis and natural history studies of rare diseases may become hotspots for future research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13023-023-02915-y. |
format | Online Article Text |
id | pubmed-10523788 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105237882023-09-28 Pharmacovigilance for rare diseases: a bibliometrics and knowledge-map analysis based on web of science Xu, Mengdan Li, Guozhi Li, Jiazhao Xiong, Huiyu He, Suzhen Orphanet J Rare Dis Review OBJECTIVES: The aims of this paper is to search and explore publications in the field of pharmacovigilance for rare diseases and to visualize general information, research hotspots, frontiers and future trends in the field using the bibliometric tool CiteSpace to provide evidence-based evidence for scholars. METHODS: We searched the Web of Science Core Collection (WoSCC) for studies related to pharmacovigilance for rare diseases, spanning January 1, 1997-October 25, 2022. CiteSpace software was utilized to discuss countries/regions, institutions, authors, journals, and keywords. RESULTS: After screening, a total of 599 valid publications were included in this study, with a significant upward trend in the number of publications. These studies were from 68 countries/regions with the United States and the United Kingdom making the largest contributions to the field. 4,806 research scholars from 493 institutions conducted studies on pharmacovigilance for rare diseases. Harvard University and University of California were the top two productive institutions in the research field. He Dian of the Affiliated Hospital of Guizhou Medical University and Peter G.M. Mol of the University of Groningen, The Netherlands, were the two most prolific researchers. The Cochrane Database of Systematic Reviews and the New England Journal of Medicine were the journals with the highest number of articles and co-citation frequency respectively. Clinical trial, therapy and adverse event were the top three most cited keywords. CONCLUSIONS: Based on keywords co-occurrence analysis, four research topics were identified: orphan drug clinical trials, postmarketing ADR surveillance for orphan drugs, rare diseases and orphan drug management, and diagnosis and treatment of rare diseases. Immune-related adverse reactions and benefit-risk assessment of enzyme replacement therapy were at the forefront of research in this field. Treatment outcomes, early diagnosis and natural history studies of rare diseases may become hotspots for future research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13023-023-02915-y. BioMed Central 2023-09-26 /pmc/articles/PMC10523788/ /pubmed/37752556 http://dx.doi.org/10.1186/s13023-023-02915-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 | Review Xu, Mengdan Li, Guozhi Li, Jiazhao Xiong, Huiyu He, Suzhen Pharmacovigilance for rare diseases: a bibliometrics and knowledge-map analysis based on web of science |
title | Pharmacovigilance for rare diseases: a bibliometrics and knowledge-map analysis based on web of science |
title_full | Pharmacovigilance for rare diseases: a bibliometrics and knowledge-map analysis based on web of science |
title_fullStr | Pharmacovigilance for rare diseases: a bibliometrics and knowledge-map analysis based on web of science |
title_full_unstemmed | Pharmacovigilance for rare diseases: a bibliometrics and knowledge-map analysis based on web of science |
title_short | Pharmacovigilance for rare diseases: a bibliometrics and knowledge-map analysis based on web of science |
title_sort | pharmacovigilance for rare diseases: a bibliometrics and knowledge-map analysis based on web of science |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10523788/ https://www.ncbi.nlm.nih.gov/pubmed/37752556 http://dx.doi.org/10.1186/s13023-023-02915-y |
work_keys_str_mv | AT xumengdan pharmacovigilanceforrarediseasesabibliometricsandknowledgemapanalysisbasedonwebofscience AT liguozhi pharmacovigilanceforrarediseasesabibliometricsandknowledgemapanalysisbasedonwebofscience AT lijiazhao pharmacovigilanceforrarediseasesabibliometricsandknowledgemapanalysisbasedonwebofscience AT xionghuiyu pharmacovigilanceforrarediseasesabibliometricsandknowledgemapanalysisbasedonwebofscience AT hesuzhen pharmacovigilanceforrarediseasesabibliometricsandknowledgemapanalysisbasedonwebofscience |