Evidence mapPaperPMID 42210362Full record

ReviewJournal of orthopaedic surgery and research2026

Novel biomarkers for sarcopenia: a narrative review.

Xiaoxiao Chen, Fei Wu, Suqin Shi, Le Xia, Yurong Wang, Yu Wei, Jing Wang, Jiaqi Li, Min Zhu, Xiaojie Zhang and 1 more

Abstract readReview
In one paragraph

Review in Journal of orthopaedic surgery and research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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

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

11 authors.

Xiaoxiao Chen *School of Nursing, Faculty of Medicine, Yangzhou University, Yangzhou, Jiangsu Province, People's Republic of China.
Fei WuEmergency Intensive Care Unit (EICU), The Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, People's Republic of China.
Suqin ShiEmergency Intensive Care Unit (EICU), The Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, People's Republic of China.
Le XiaEmergency Intensive Care Unit (EICU), The Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, People's Republic of China.
Yurong WangEmergency Intensive Care Unit (EICU), The Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, People's Republic of China.
Yu WeiEmergency Intensive Care Unit (EICU), The Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, People's Republic of China.
Jing WangSchool of Nursing, Faculty of Medicine, Yangzhou University, Yangzhou, Jiangsu Province, People's Republic of China.
Jiaqi LiEmergency Intensive Care Unit (EICU), The Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, People's Republic of China.
Min ZhuEmergency Intensive Care Unit (EICU), The Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, People's Republic of China.
Xiaojie Zhang *School of Nursing, Faculty of Medicine, Yangzhou University, Yangzhou, Jiangsu Province, People's Republic of China. zxj5690345@163.com.
Jinqiang Zhuang *Emergency Intensive Care Unit (EICU), The Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, People's Republic of China. zjq7642807@163.com.

Funding

Medical Research Project of Jiangsu Provincial Health Commission in 2024 X20240058National Natural Science Foundation of China No. 82572474
6 · The paper itself

Abstract

Sarcopenia is an age-related syndrome characterized by the progressive loss of skeletal muscle mass, strength, and function. It is associated with an increased risk of falls, disability, and mortality, as well as a significant healthcare burden. Traditional assessment of sarcopenia relies on imaging techniques and physical function tests, which have important limitations, including operational complexity, difficulty in early identification, and inability to reflect underlying molecular mechanisms. The emergence of candidate biomarkers-including muscle-specific factors, inflammation-related proteins, non-coding RNAs, and nutritional metabolites-has enabled a more precise elucidation of the pathophysiological mechanisms of the disease across multiple dimensions, such as protein homeostasis, chronic inflammation, post-transcriptional regulation, and energy metabolism. These advances provide new avenues for early identification, risk stratification, identification of disease subtypes, and the development of personalized intervention strategies. This article reviews the potential applications and current challenges of these candidate biomarkers in both clinical practice and research on sarcopenia.

Indexed as

BiomarkersSarcopeniaHumansMuscle, SkeletalBiomarkersBiomarkersMolecular mechanismsMuscle atrophySarcopenia

Identifiers

PMID42210362
PMCPMC13430906

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.