Evidence map›Paper›PMID 40664977›Full record

ArticleScientific reports2025

Association between relative fat mass (RFM) and chronic kidney disease (CKD): data from NHANES 2005-2018.

Zhendong Wang, Wenxuan Li, Lina Lv, Xiaosu Zhang, Yan Li, Xia Li, Wei Zhang, Shengguo Zhou, Guangyi 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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.

Zhendong WangDepartment of Nephrology, Qilu Hospital, Shandong University, Jinan, China.
Wenxuan LiDepartment of Nephrology, Qilu Hospital, Shandong University, Jinan, China.
Lina LvDepartment of Nephrology, Jining NO.1 People's Hospital, Jining, China.
Xiaosu ZhangDepartment of Nephrology, Yidu Central Hospital of Weifang, Weifang, China.
Yan LiDepartment of Nephrology, Qilu Hospital, Shandong University, Jinan, China.
Xia LiDepartment of Nephrology, Jining NO.1 People's Hospital, Jining, China.
Wei ZhangDepartment of Nephrology, Jining NO.1 People's Hospital, Jining, China.
Shengguo ZhouDepartment of Nephrology, Jining NO.1 People's Hospital, Jining, China.
Guangyi LiuDepartment of Nephrology, Qilu Hospital, Shandong University, Jinan, China. guangyi.liu@sdu.edu.cn.

Funding

National Natural Science Foundation of Shandong Providence ZR2024MH196
6 · The paper itself

Abstract

Relative fat mass (RFM) serves as an emerging metric for estimating body fat composition. This study evaluates the association between RFM and chronic kidney disease (CKD) using data from the National Health and Nutrition Examination Survey (NHANES) covering the years 2005-2018. Descriptive statistics were applied to characterize the study population, and logistic regression models assessed the relationships between body mass index (BMI), waist circumference (WC), RFM, and CKD. To further elucidate the RFM-CKD association, subgroup analyses, restricted cubic spline (RCS) modeling, sensitivity analyses, and mediation analyses were conducted. A positive trend was observed, with higher RFM values correlating with increased CKD risk. Compared to the lowest RFM quartile, individuals in the highest quartile exhibited a significantly elevated CKD risk (OR = 1.82; 95% CI 1.46-2.27; p < 0.001). Mediation analysis identified neutrophil-to-lymphocyte ratio, hemoglobin, glycated hemoglobin, and uric acid as significant mediators in this association, with hemoglobin exerting a potentially protective influence. RFM is associated with CKD, suggesting that attention to RFM may be helpful for CKD research.

Indexed as

Adipose TissueRenal Insufficiency, ChronicAdultAgedBody Mass IndexFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsWaist CircumferenceCKDNHANESObesityRelative fat mass

Identifiers

PMID40664977
PMCPMC12264183

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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 OpenQuestion graph.