Evidence map›Paper›PMID 41947490›Full record

ArticleRenal failure2026

Visceral fat score predicts diabetic kidney disease: analysis of 20 years of U.S. NHANES data.

Mengjiao Xu, Han Yan, Tian Gu, Qichao Yang, Yi Xue

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Renal failure, 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

5 authors.

Mengjiao XuDepartment of Endocrinology, Affiliated Wujin Hospital of Jiangsu University, Wujin Clinical College of Xuzhou Medical University, Changzhou, Jiangsu, China.
Han YanDepartment of Endocrinology, Affiliated Wujin Hospital of Jiangsu University, Wujin Clinical College of Xuzhou Medical University, Changzhou, Jiangsu, China.
Tian GuDepartment of Endocrinology, Affiliated Wujin Hospital of Jiangsu University, Wujin Clinical College of Xuzhou Medical University, Changzhou, Jiangsu, China.
Qichao YangDepartment of Endocrinology, Affiliated Wujin Hospital of Jiangsu University, Wujin Clinical College of Xuzhou Medical University, Changzhou, Jiangsu, China.
Yi XueDepartment of Endocrinology, Affiliated Wujin Hospital of Jiangsu University, Wujin Clinical College of Xuzhou Medical University, Changzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic Score for Visceral Fat (METS-VF) serves as an innovative surrogate marker for evaluating visceral fat and associated cardiometabolic risks. This study aimed to explore the relationship between METS-VF and diabetic kidney disease (DKD). This cross-sectional study included diabetic patients aged 20 years or older who participated in the National Health and Nutrition Examination Surveys (NHANES). DKD was diagnosed in diabetic patients based on the presence of an impaired estimated glomerular filtration rate (eGFR <60 mL/min/1.73 m

Indexed as

Diabetic NephropathiesIntra-Abdominal FatAdultAgedAlbuminuriaBiomarkersCross-Sectional StudiesFemaleGlomerular Filtration RateHumansLogistic ModelsMaleMiddle AgedNutrition SurveysPrevalenceRisk FactorsBiomarkerscardio-renal syndromediabetic kidney diseaseMETS-VFnoninvasive biomarkersPrecision medicine

Identifiers

PMID41947490
PMCPMC13063337

What Socratic holds

Textmetadata
LicenceCC BY
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.