Evidence map›Paper›PMID 39469334›Full record

ArticleJournal of pain research2024

From Pain to Progress: Comprehensive Analysis of Musculoskeletal Disorders Worldwide.

Jinlei Zhou, Shanggao Xie, Sen Xu, Yuan Zhang, Yanlei Li, Qice Sun, Jun Zhang, Tingxiao Zhao

Abstract read
In one paragraph

Article in Journal of pain research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  13. The role of the occupational physician in the early detection of occupational diseases.Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT
    Review
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

8 authors.

Jinlei Zhou *Center for Plastic & Reconstructive Surgery, Department of Orthopedics, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, People's Republic of China.
Shanggao Xie *Center for Plastic & Reconstructive Surgery, Department of Orthopedics, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, People's Republic of China.
Sen Xu *Center for Plastic & Reconstructive Surgery, Department of Orthopedics, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, People's Republic of China.
Yuan ZhangDepartment of Rheumatology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, People's Republic of China.
Yanlei LiCenter for Plastic & Reconstructive Surgery, Department of Orthopedics, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, People's Republic of China.
Qice SunDepartment of Rheumatology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, People's Republic of China.
Jun ZhangCenter for Plastic & Reconstructive Surgery, Department of Orthopedics, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, People's Republic of China.
Tingxiao ZhaoCenter for Plastic & Reconstructive Surgery, Department of Orthopedics, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Comprehensive analyses of the burden of musculoskeletal disorders (MSDs) are crucial for deepening our understanding of their impact on population health and for evaluating progress toward achieving international health goals. Study Design: A comprehensive analysis was performed using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021. Methods: We gathered data on the number of prevalent cases, incidences, deaths, and disability-adjusted life years (DALYs) for MSDs from 1990 to 2021. Subsequently, crude indicators, age-standardized rates (ASRs) and estimated annual percentage change (EAPC) were calculated for MSDs from 1990 to 2021 at the global, regional, national, age and gender levels. Finally, decomposition analysis, frontier analysis, and EAPC cluster analysis were employed to examine changes in the indicators and the factors influencing them. Results: In 2021, there were 367,193,430 incident cases and 1,686,561,517 prevalent cases of MSDs globally. Between 1990 and 2021, the age-standardized incidence rates (ASIR) declined marginally from 4641.5 to 4351.79 cases per 100,000 population [EAPC: -0.16 (-0.19 to -0.13)], while the age-standardized DALY rates (ASDR) increased from 1886.2 to 1908.87 per 100,000 population [EAPC: 0.09 (0.07 to 0.11)]. The ASRs were markedly elevated in the high SDI regions in comparison to the remaining SDI regions. The EAPC and its phase clustering analyses indicated a notable upward trajectory in the burden of MSDs in the low and middle SDI regions, particularly in Central Asia. The prevalence of MSDs is highest among individuals aged 50-59 years and among women. At the global level, the burden of MSDs is 1.43 to 2.30 times higher for women than for men. Conclusion: From 1990 to 2021, the burden of MSDs has been concentrated in high SDI regions, with a gradual shift towards low and middle SDI regions.

Indexed as

DALYsepidemiologyglobal burden of diseaseincidencemusculoskeletal diseaseprevalence

Identifiers

PMID39469334
PMCPMC11514690

What OpenQuestion holds

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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.