Evidence map›Paper›PMID 37752556›Full record

ReviewOrphanet journal of rare diseases2023

Pharmacovigilance for rare diseases: a bibliometrics and knowledge-map analysis based on web of science.

Mengdan Xu, Guozhi Li, Jiazhao Li, Huiyu Xiong, Suzhen He

Open access · goldAbstract readReview
In one paragraph

Review in Orphanet journal of rare diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. An application of studying FAERS data to Enhance Drug Safety and Treatment Outcomes in Rare Diseases.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2024
    Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Mengdan XuSchool of Clinical Pharmacy, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China. xumengdan716@gdpu.edu.cn.ORCID http://orcid.org/0000-0001-9347-0770
Guozhi LiNMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, Guangzhou, Guangdong, China.
Jiazhao LiSchool of Clinical Pharmacy, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China.
Huiyu XiongCenter for ADR Monitoring of Guangdong, Guangzhou, Guangdong, China.
Suzhen HeThe First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Guangdong Pharmaceutical University · CNFirst Affiliated Hospital of Guangzhou Medical University · CNGuangdong Province Environmental Monitoring Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe 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.

methodsWe 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.

resultsAfter 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.

conclusionsBased 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.

Indexed as

PharmacovigilanceRare DiseasesBibliometricsDatabases, FactualHumansMaleSystematic Reviews as TopicCiteSpaceKnowledge-mapOrphan drugsPharmacovigilanceRare diseasesResearch hotspots

Identifiers

PMID37752556
PMCPMC10523788
OpenAlexW4387048849

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.