Evidence map›Paper›PMID 40121321›Full record

ArticleScientific reports2025

Low appendicular skeletal muscle mass is associated with the risk of mortality among adults in the United States.

Yijing Cheng, Tao Li, Guimin Huang, Dongqing Hou, Shaoli Li, Yajun Liang, Tong Zhang, Junting Liu

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. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Underexplored terrain: effects of high priority environmental toxicants on skeletal muscle.Journal of toxicology and environmental health. Part B, Critical reviews · 2026
    Review
  3. Article
  4. Article
  5. Article
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.

Yijing ChengChild Health Big Data Research Center, Capital Institute of Pediatrics, Beijing, China.
Tao LiChild Health Big Data Research Center, Capital Institute of Pediatrics, Beijing, China.
Guimin HuangChild Health Big Data Research Center, Capital Institute of Pediatrics, Beijing, China.
Dongqing HouChild Health Big Data Research Center, Capital Institute of Pediatrics, Beijing, China.
Shaoli LiChild Health Big Data Research Center, Capital Institute of Pediatrics, Beijing, China.
Yajun LiangAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
Tong ZhangChild Health Big Data Research Center, Capital Institute of Pediatrics, Beijing, China.
Junting LiuChild Health Big Data Research Center, Capital Institute of Pediatrics, Beijing, China. winnerljt@163.com.

Funding

Beijing Municipal Administration of Hospitals Incubating Program PG20241303Capital's Funds for Health Improvement and Research CFH2024-2G-1136National Natural Science Foundation of China 32070188National Natural Science Foundation of China 81601778Research Foundation of Capital Institute of Pediatrics ERB-2023-01the Public Service Development and Reform Pilot Project of Beijing Medical Research Institute BMR2021-3
6 · The paper itself

Abstract

Low skeletal muscle mass has been shown to be a predictor of mortality, but very few studies have focused on the association between appendicular skeletal muscle mass and mortality risk in a large sample. This study aimed to determine the associations of low appendicular skeletal muscle mass with all-cause and cause-specific mortality in an adult population in the United States. Data were retrieved from 21,938 participants aged 20-85 years from the National Health and Nutrition Examination Survey (NHANES) (1999-2006 and 2011-2018) and merged with the Public-use Linked Mortality File of 2018. The appendicular skeletal muscle mass index (kg/m

Indexed as

Muscle, SkeletalNeoplasmsSarcopeniaAdultAgedAged, 80 and overCause of DeathFemaleHumansMaleMiddle AgedNutrition SurveysProportional Hazards ModelsRisk FactorsUnited StatesYoung AdultAll-cause mortalityCancer mortalityNHANESSkeletal muscle mass

Identifiers

PMID40121321
PMCPMC11929809

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.