Evidence mapPaperPMID 42130483Full record

ArticleInternational journal of endocrinology2026

Association Between Uric Acid-to-HDL Cholesterol Ratio and Sarcopenia: Sex-Specific Patterns From NHANES 2011-2018.

Tingting Liu, Xi Liu, Jianling Fan, Hao Chen, Ping Chen, Qiong Xu, Tao Huang, Jiaoyang Zheng

Abstract read
In one paragraph

Article in International journal of endocrinology, 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

8 authors.

Tingting LiuDepartment of Health Management Center, The Second Affiliated Hospital of Naval Medical University, Shanghai, China.ORCID https://orcid.org/0009-0004-0146-7195
Xi LiuDepartment of Urology, Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China, shsmu.edu.cn.
Jianling FanDepartment of Health Management Center, The Second Affiliated Hospital of Naval Medical University, Shanghai, China.
Hao ChenDepartment of Health Management Center, The Second Affiliated Hospital of Naval Medical University, Shanghai, China.
Ping ChenDepartment of Health Management Center, The Second Affiliated Hospital of Naval Medical University, Shanghai, China.
Qiong XuDepartment of Health Management Center, The Second Affiliated Hospital of Naval Medical University, Shanghai, China.
Tao HuangDepartment of Urology, Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China, shsmu.edu.cn.
Jiaoyang ZhengDepartment of Health Management Center, The Second Affiliated Hospital of Naval Medical University, Shanghai, China.ORCID https://orcid.org/0000-0003-0862-6828

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Sarcopenia, characterized by progressive skeletal muscle mass and strength loss, significantly impacts elderly health. The uric acid-to-high-density lipoprotein cholesterol Ratio (UHR), an emerging metabolic-inflammatory marker, may be associated with sarcopenia, but large-scale studies are lacking. Methods: We conducted a cross-sectional analysis using NHANES 2011-2018 data (weighted Results: After multivariable adjustment, UHR showed significant positive association with sarcopenia (OR = 1.060, 95% CI: 1.041-1.080, Conclusion: Elevated UHR significantly associates with sarcopenia with pronounced gender differences and may represent a promising, cost-effective biomarker for improved early detection in aging populations.

Indexed as

gender differencesNHANESrestricted cubic splinesarcopeniaUHR

Identifiers

PMID42130483
PMCPMC13161460

What Socratic holds

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Registered trials

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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 Socratic graph.