Evidence map›Paper›PMID 36248874›Full record

ArticleFrontiers in immunology2022

Knowledge mapping of targeted immunotherapy for myasthenia gravis from 1998 to 2022: A bibliometric analysis.

Yue Su, Zhe Ruan, Rui Wang, Sijia Hao, Yonglan Tang, Xiaoxi Huang, Ting Gao, Zhuyi Li, Ting Chang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.4field-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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Bibliometric analysis of research hotspots and trends of lncRNA in angiogenesis-related diseases.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. A Summary on Tuberculosis Vaccine Development-Where to Go?Journal of personalized medicine · 2023
    Article
  11. Article
  12. 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

9 authors at 1 institution in 1 country.

Yue SuDepartment of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Zhe RuanDepartment of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Rui WangMedical Department of Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Sijia HaoDepartment of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Yonglan TangDepartment of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Xiaoxi HuangDepartment of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Ting GaoDepartment of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Zhuyi LiDepartment of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Ting ChangDepartment of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Air Force Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The treatment of myasthenia gravis (MG) has advanced from steroids and traditional immunosuppressants to targeted immunotherapy. Targeted immunotherapy has been successfully employed in clinical practice in recent years. This study aimed to explore the emerging trend of targeted immunotherapy in MG and summarize the knowledge structure through bibliometric methods. Methods: The Web of Science Core Collection database (WoSCC) was chosen to retrieve the literature on targeted immunotherapy for MG. Two bibliometric analysis software, VOSviewer and CiteSpace, and bibliometric online platform were mainly used to evaluate the contributions from countries/regions, institutions, journals, and authors through the construction and visualization of bibliometric networks. By systematically reviewing a knowledge domain, future research developments were determined. The R version 4.1.2 and Microsoft Excel 365 were used for statistical analysis. Results: A total of 562 original articles and 262 reviews relevant to MG targeted immunotherapy were included. The number of publications on targeted immunotherapy for MG exhibited a two-phase advancement. The first stage showed a steady growth trend from 1998 to 2016, with an annual number of no more than 35 publications. The second stage revealed an explosive growth trend from 2017, reaching a peak number of publications in 2020. The United States ranked first in the number of publications, citations, and h-index. The author with the highest citation and h-index was Vincent A. And 28.03% of the articles were published in the top 10 journals. In addition to "myasthenia gravis", the keyword with the highest consideration was "rituximab", followed by "double-blind", which indicate research hotspots gradually from basic research to clinical research over time, especially in the field of targeted immunotherapy. The MG treatment has entered a personalized precision treatment phase. Exploration into new target molecules and conducting high-quality randomized controlled trials on existing biological agents are the further research direction. Conclusion: The current study summarized the global research trends concerning targeted immunotherapy for MG. Research interests gradually advanced from basic research to clinical research. MG treatment has entered a personalized precision treatment phase. Further investigations into new target molecules and high-quality randomized controlled trials on existing biological agents are required urgently to direct future immunotherapy research.

Indexed as

BibliometricsPublicationsBiological FactorsImmunosuppressive AgentsImmunotherapyUnited StatesBiological FactorsImmunosuppressive AgentsbibliometricCitespacemyasthenia gravistargeted immunotherapyVOSviewer

Identifiers

PMID36248874
PMCPMC9557176
OpenAlexW4298002344

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.