Evidence map›Paper›PMID 40909453›Full record

ArticleFrontiers in medicine2025

Predicted skeletal muscle index as a scalable marker for sarcopenia risk and mortality in older Chinese adults.

Ya Liu, Yingsong Qi, Huanhuan Wang, Xiaojing Zhao, Min Zhang, Liangyan Ma, Lan Huang, Qiaorong Dong

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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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.

Ya LiuDepartment of Nephrology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China.
Yingsong QiDepartment of Cardiothoracic Surgery, Chengde Central Hospital, Chengde, Hebei, China.
Huanhuan WangDepartment of Nephrology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China.
Xiaojing ZhaoDepartment of Nephrology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China.
Min ZhangDepartment of Nephrology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China.
Liangyan MaDepartment of Nephrology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China.
Lan HuangDepartment of Nephrology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China.
Qiaorong DongDepartment of Nephrology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Sarcopenia, characterized by age-related loss of muscle mass and function, increases adverse outcomes in older adults. The predicted skeletal muscle mass index (pSMI), derived from serum creatinine and cystatin C, may serve as a practical biomarker. This study evaluated pSMI's ability to predict sarcopenia and mortality in older Chinese adults. Methods: We analyzed 5,982 adults aged ≥60 years from the 2015 China Health and Retirement Longitudinal Study (CHARLS). pSMI was calculated using a sex-specific formula and categorized into quartiles. Sarcopenia was defined per Asian Working Group for Sarcopenia 2019 criteria. All-cause mortality was tracked over 5 years (2015-2020). Logistic regression assessed pSMI's association with sarcopenia, and Cox models evaluated mortality risk, adjusting for demographics, behaviors, comorbidities, and inflammatory markers. Results: Sarcopenia prevalence decreased from 55 to 67% in the lowest pSMI quartile (Q1) to 0.4% in the highest (Q4). Higher pSMI reduced sarcopenia odds by 97-99% in Q3-Q4 vs. Q1 ( Conclusion: pSMI strongly predicts sarcopenia and mortality in older Chinese adults. To our knowledge, this represents the first large-scale validation of pSMI's prognostic value for mortality risk independent of baseline sarcopenia in a nationally representative older Chinese cohort. As a blood-based biomarker, pSMI may serve as a practical screening tool and prognostic marker, facilitating timely interventions such as nutritional support and resistance exercise.

Indexed as

blood-based biomarkermortalityolder adultspredicted skeletal muscle indexsarcopenia

Identifiers

PMID40909453
PMCPMC12405267

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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.