Evidence map›Paper›PMID 36411536›Full record

ReviewOrthopaedic surgery2023

Global Cluster Analysis and Network Visualization in Musculoskeletal Pain Management: A Scientometric Mapping.

Fengyao Mei, Jiao Jiao Li, Jiarong Li, Shengjie Dong, Zhichang Li, Dan Xing

Open access · goldAbstract readReview
In one paragraph

Review in Orthopaedic surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

6 authors at 3 institutions in 2 countries.

Fengyao MeiArthritis Clinic and Research Center, Peking University People's Hospital, Beijing, China.
Jiao Jiao LiSchool of Biomedical Engineering, Faculty of Engineering and IT, University of Technology Sydney, Ultimo, Australia.
Jiarong LiSchool of Biomedical Engineering, Faculty of Engineering and IT, University of Technology Sydney, Ultimo, Australia.
Shengjie DongDepartment of the Joint and Bone Surgery, Yantaishan Hospital, Yantai, China.
Zhichang LiArthritis Clinic and Research Center, Peking University People's Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-0007-999X
Dan XingArthritis Clinic and Research Center, Peking University People's Hospital, Beijing, China.ORCID https://orcid.org/0000-0001-6966-3134
Peking University · CNUniversity of Technology Sydney · AUYantaishan Hospital · CN

Funding

Beijing Natural Science Foundation 7214261Peking University People's Hospital Scientific Research Development Funds RDX2020-02
6 · The paper itself

Abstract

objectiveMusculoskeletal pain is the most prominent clinical manifestation of more than 150 musculoskeletal disease conditions, and its effective long-term management poses a great challenge to healthcare systems globally. For this, it is important to understand current research progress on musculoskeletal pain management. The purpose of the present study is to provide a comprehensive insight into the current state of research and global trends in musculoskeletal pain management.

methodsPublications on musculoskeletal pain management from 1972 to 2021 were retrieved from the Science Citation Index-Expanded (SCIE) database. Included articles were any article type related to aspects of musculoskeletal pain management, including etiology, mechanisms, epidemiology, treatment, outcomes, side effects, and patient compliance. Publication data were analyzed using bibliometric methods. The software VOSviewer was employed to perform bibliographic coupling, co-authorship, co-citation, and co-occurrence analysis, and to visualize publication tendencies in musculoskeletal pain management.

resultsA total of 5475 articles were included in this study. The number of global publications on musculoskeletal pain management has escalated annually. Based on the number of publications and citations from the published literature, as well as the H-index, the United States led global contributions in this area. The institutions making the highest contributions were the League of European Research Universities (LERU), the University of Sydney, and Harvard University. The journal BMC Musculoskeletal Disorders published the highest number of articles in this area. The published studies fall under six groups: "Prevention and rehabilitation," "Etiology and diagnosis," "Clinical study," "Epidemiology," "Mental health," and "Education." High-quality primary studies and epidemiology are predicted to be the next prevailing topics in this field of research.

conclusionsBased on current global trends, the number of publications on musculoskeletal pain management will continue to increase. Future studies will likely place more emphasis on high-quality randomized controlled trials (RCTs) and epidemiological studies.

Indexed as

Musculoskeletal PainAuthorshipCluster AnalysisHumansPain ManagementCluster analysisMusculoskeletalPain managementVisualization

Identifiers

PMID36411536
PMCPMC9837243
OpenAlexW4309667492

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.