Evidence map›Paper›PMID 39503898›Full record

ArticleInternational urology and nephrology2025

Association of body round index with chronic kidney disease: a population-based cross-sectional study from NHANES 1999-2018.

Hongliang Cao, Chengdong Shi, Zulipikaer Aihemaiti, Xianyu Dai, Fangqiu Yu, Song Wang

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Article in International urology and nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
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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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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

6 authors.

Hongliang CaoDepartment of Urology, The First Hospital of Jilin University, Changchun, 130021, China.
Chengdong ShiDepartment of Urology, The First Hospital of Jilin University, Changchun, 130021, China.
Zulipikaer AihemaitiDepartment of Urology, The Sixth Affiliated Hospital of Xinjiang Medical University, Urumqi City, 830002, China.
Xianyu DaiDepartment of Urology, The First Hospital of Jilin University, Changchun, 130021, China.
Fangqiu YuDepartment of Urology, The First Hospital of Jilin University, Changchun, 130021, China.
Song WangDepartment of Urology, The First Hospital of Jilin University, Changchun, 130021, China. w_s@jlu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComplex nexuses between obesity and chronic kidney disease (CKD) have been reported. Nevertheless, the link between the body roundness index (BRI), an indicator utilized to measure body fat distribution, and CKD risk has been unexplored.

methodsWe utilized publicly available data from ten survey cycles (1999-2018) of the National Health and Nutrition Examination Survey (NHANES) in the United States. We examined the association between BRI and CKD risk using multivariable logistic regression, subgroup analysis, interaction tests, and smooth curve fitting.

resultsThe study ultimately involved 41,953 participants, 3,123 (7.44%) of whom had CKD. Multivariable logistic regression, adjusted for covariates, identified high BRI levels in quartile 4 as a risk factor for CKD (OR = 1.30, 95% CI 1.12-1.50, P = 0.0005). This association remained consistent across subgroups (P for interaction > 0.05). Smoothed curve fitting exhibited a roughly linear positive correlation between BRI and CKD.

conclusionAccording to our study, BRI was related to CKD in a roughly linear way, suggesting a novel indicator for improving prevention and treatment for the CKD population. Nevertheless, additional research is needed to identify the association.

Indexed as

Body Fat DistributionRenal Insufficiency, ChronicAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsUnited StatesBody round indexChronic kidney diseaseFat distributionNHANESRisk factor

Identifiers

PMID39503898

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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.