Evidence map›Paper›PMID 38434405›Full record

ReviewHeliyon2024

Knowledge domain and trend of disease-modifying therapies for multiple sclerosis: A study based on CiteSpace.

Ting Zheng, Taotao Jiang, Zilong Huang, Manxia Wang

Abstract readReview
In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Ting ZhengDepartment of Neurology, The Second Hospital & Clinical Medical School, Lanzhou 730000, PR China.
Taotao JiangDepartment of Neurology, The Second Hospital & Clinical Medical School, Lanzhou 730000, PR China.
Zilong HuangThe Second Clinical Medical School, Lanzhou University, Lanzhou 730000, PR China.
Manxia WangDepartment of Neurology, The Second Hospital & Clinical Medical School, Lanzhou 730000, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the current status and trends of disease-modifying therapies (DMTs) for multiple sclerosis through bibliometric and visual analyses of the related literature. Methods: Relevant literature from the Web of Science Core Collection from 2017 to 2022 was retrieved, and a bibliometric analysis was performed using CiteSpace 6.1. R2. Thesoftware was used to generate visual graphs of the author, institution, country, keyword co-occurrence, and literature co-citation network. Results: A total of 1719 manuscripts were retrieved, including 1397 original studies and 322 reviews. In the past five years, Patti F and the University of London were the authors and institutions generating the largest number of publications, respectively, and there was active collaboration between authors and institutions. The United States was the largest contributor to the relevant literature, and the high-frequency keywords in the field of multiple sclerosis disease-modifying therapies in the past five years mainly included multiple sclerosis, disease-modifying therapy, double-blind, disability, natalizumab, effectiveness, fingolimod, glatiramer acetate, and dimethyl fumarate. Conclusions: Current research hotspots and trends in DMTs in multiple sclerosis focus on the effectiveness of different DMTs drugs in treating patients with MS and how to optimise treatment strategies. In the context of the COVID-19 pandemic, the correlation between MS and COVID-19 infection and the method to manage and address the adverse effects of DMTs on multiple sclerosis patients is also future research trends.

Indexed as

CiteSpaceDisease-modifying therapyMultiple sclerosis

Identifiers

PMID38434405
PMCPMC10906317

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.