Evidence map›Paper›PMID 36856982›Full record

ArticleJournal of endocrinological investigation2023

Association between sarcopenia and prediabetes among non-elderly US adults.

J Xu, X Han, Q Chen, M Cai, J Tian, Z Yan, Q Guo, J Xu, H Lu

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of endocrinological investigation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
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

18 citing papers in PubMed, 23 citations in OpenAlex.

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  13. Strategies for minimizing muscle loss during use of incretin-mimetic drugs for treatment of obesity.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Review
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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

9 authors at 2 institutions in 1 country.

J XuDepartment of Endocrinology, Shuguang Hospital, Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
X HanDepartment of Endocrinology, Shuguang Hospital, Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Q ChenDepartment of Endocrinology, Shuguang Hospital, Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
M CaiDepartment of Endocrinology, Shuguang Hospital, Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
J TianDepartment of Endocrinology, Shuguang Hospital, Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Z YanDepartment of Endocrinology, Shuguang Hospital, Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Q GuoDepartment of Endocrinology, Shuguang Hospital, Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
J XuDepartment of Endocrinology, Shuguang Hospital, Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China. junfei.xu@shsgyy-endo.cn.
H LuDepartment of Endocrinology, Shuguang Hospital, Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China. luhao403@163.com.
Shanghai University of Traditional Chinese Medicine · CNShuguang Hospital · CN

Funding

National Natural Science Foundation of China 82074381National Natural Science Foundation of China 82104786
6 · The paper itself

Abstract

aimTo explore the specific association between sarcopenia and prediabetes based on large population samples.

methodsA total of 16,116 U.S. adults aged 20-59 with dual energy X-ray absorptiometry (DXA) was identified from the National Health and Nutrition Examination Surveys (NHANES). Sarcopenia was defined according to appendicular skeletal muscle mass (ASM) adjusted for body mass index (BMI). Multivariable binary logistic regression models were used to ascertain odds ratios (ORs) for developing prediabetes. Stratified analyses were also performed.

resultsPrevalence of prediabetes was higher in the sarcopenia group (n = 1055) compared with the non-sarcopenia group (n = 15,061) (45.50% vs 28.74%, P < 0.001). Sarcopenia was strongly associated with an increased risk of prediabetes after full adjustment (OR = 1.21, 95CI%: 1.05, 1.39, P = 0.009). In the stratified analysis, this association remained significant independent of obesity, triglycerides, and low-density lipoprotein cholesterol levels. When sarcopenia subjects combined with obesity especially central obesity, the risk of prediabetes was the highest (OR = 2.63, 95CI%: 2.22, 3.11, P < 0.001). Furthermore, a greater proportion of any of impaired glucose tolerance (IGT) individuals was observed in the sarcopenia group compared to the non-sarcopenia group among prediabetes population (41.72% vs 24.06%, P < 0.001).

conclusionsSarcopenia was positively associated with prevalent prediabetes especially IGT in the non-elderly. Moreover, synergistic interactions between the sarcopenia and obesity could greatly increase the risk of prediabetes.

Indexed as

Glucose IntolerancePrediabetic StateSarcopeniaAbsorptiometry, PhotonAdultBody Mass IndexHumansMiddle AgedMuscle, SkeletalNutrition SurveysObesityPrevalenceNHANESObesityPrediabetesSarcopenia

Identifiers

PMID36856982
OpenAlexW4322718653

What Socratic holds

Textmetadata
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.