Evidence map›Paper›PMID 41861200›Full record

ArticleMedicine2026

Trends in mortality rates for musculoskeletal and connective tissue diseases.

Chengzhuan Luo, Junsheng Jiang

Abstract read
In one paragraph

Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

2 authors.

Chengzhuan LuoDepartment of Hand Surgery, Linping Branch, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China.
Junsheng JiangDepartment of Pediatrics, Linping Branch, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China.ORCID 0009-0006-8648-9266

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The burden of the musculoskeletal system and connective tissue poses a significant public health challenge in the United States. Musculoskeletal diseases and connective tissue diseases independently contribute to high morbidity and mortality rates. This study seeks to investigate mortality trends associated with the simultaneous occurrence of the musculoskeletal system and connective tissue among the US population over the period from 1999 to 2020. Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research was used to identify the musculoskeletal system and connective tissue-related deaths that occurred within the United States from 1999 to 2020. Crude and age-adjusted mortality rates (AAMRs) were calculated, as well as annual percent change and weighted average annual percent change with 95% confidence intervals for the AAMRs. The Joinpoint Regression Program was used to determine trends in mortality within the study period. Joinpoint regression analysis was employed to determine annual percentage changes and assess statistical significance (P < .05). From 1999 to 2020, female patients demonstrated greater mortality rates from the musculoskeletal system and connective tissue compared with males. When stratified by race and ethnicity, Black patients had the highest AAMR over the study period at 9.50 per 100,000 people in 1999. Additionally, AAMRs were consistently higher in rural areas compared with urban locations. By age group, patients aged 85+ years had the highest overall crude mortality rate at 91.20 per 100,000 people in 1999, with the lowest rate in ages 25 to 34 years at 0.70 per 100,000 people in 1999. This study expands upon previously reported trends in musculoskeletal system and connective tissue-related mortality, highlighting epidemiological differences in musculoskeletal system and connective tissue-related death. Significant disparities in mortality rates were noted in older-aged, female, Black, and rural patients. Targeted public health strategies concerning the unique needs of these diverse populations will be essential in improving mortality rates.

Indexed as

Connective Tissue DiseasesMusculoskeletal DiseasesAdolescentAdultAgedAged, 80 and overChildFemaleHumansMaleMiddle AgedMortalityUnited StatesYoung Adultage-adjusted mortality ratesCDCconnective tissuemusculoskeletal system

Identifiers

PMID41861200
PMCPMC13008211

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Registered trials

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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.