Evidence map›Paper›PMID 41006472›Full record

ArticleScientific reports2025

Probable respiratory sarcopenia and 9-year mortality in community-dwelling older adults: the first longitudinal evidence from the CHARLS.

Yan Zhu, Qifeng Chen, Mingang Huang, Kangkang Chen

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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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.

Yan ZhuEmergency Internal Medicine, Shaoxing Seventh People's Hospital (Affiliated Mental Health Center, Medical College of Shaoxing University), Shaoxing, China.
Qifeng ChenDepartment of Non-communicable Diseases Control and Prevention, Shaoxing Center for Disease Control and Prevention, 276 Century Street, Shaoxing, 312000, Zhejiang Province, China.
Mingang HuangDepartment of Non-communicable Diseases Control and Prevention, Shaoxing Center for Disease Control and Prevention, 276 Century Street, Shaoxing, 312000, Zhejiang Province, China.
Kangkang ChenDepartment of Non-communicable Diseases Control and Prevention, Shaoxing Center for Disease Control and Prevention, 276 Century Street, Shaoxing, 312000, Zhejiang Province, China. sxcdc_ck@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

a position paper by the Japanese Working Group for Respiratory Sarcopenia (JWGRS). However, the clinical values of probable RS remain unclear. Therefore, we conducted a longitudinal study to determine its impacts on short- and long-term all-cause mortality. Our data were extracted from the China Health and Retirement Longitudinal Study. A total of 5,006 participants were selected as a cohort in 2011, and followed up until 2020. According to the JWGRS, probable RS was defined as a coexistence of low respiratory muscle strength and low appendicular skeletal muscles (ASM) mass. Hazard ratios (HRs) for all-cause mortality and cause-specific mortality were calculated through Cox regression analyses. After an average of 9 years of follow up, 1,176 of the 5,006 participants (23.49%) died. Cox proportional hazard regression showed that low ASM mass (HR = 1.24, 95% CI = 1.09-1.41, P < 0.001), low respiratory muscle strength (HR = 1.31, 95% CI = 1.11-1.54, P = 0.001), and probable RS (HR = 1.31, 95% CI = 1.15-1.48, P < 0.001) were associated with increased all-cause mortality. However, when the follow-up period was shortened to 2 years, the association between probable RS and all-cause mortality became non-significant (P = 0.246), although it remained significant for respiratory-related mortality (HR = 3.16, 95% CI = 1.39-7.18, P = 0.006). Diagnosing probable RS and leading to intervention could significantly prevent and reduce the burden of long-term all-cause mortality.

Indexed as

Respiratory MusclesSarcopeniaAgedAged, 80 and overChinaFemaleHumansIndependent LivingLongitudinal StudiesMaleMiddle AgedMuscle, SkeletalMuscle StrengthProportional Hazards ModelsRisk FactorsCHARLSLongitudinal investigationsMortalityOlder adultsRespiratory sarcopenia

Identifiers

PMID41006472
PMCPMC12474932

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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.