Evidence map›Paper›PMID 39762499›Full record

ArticleScientific reports2025

Associations between the conicity index and kidney stone disease prevalence and mortality in American adults.

Xianyu Dai, Yu Chang, Yuchuan Hou

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

3 authors.

Xianyu Dai *Department of Urology, The First Hospital of Jilin University, No. 1 Xinmin Street, Chaoyang District, Changchun City, Jilin Province, China.
Yu Chang *Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China.
Yuchuan HouDepartment of Urology, The First Hospital of Jilin University, No. 1 Xinmin Street, Chaoyang District, Changchun City, Jilin Province, China. houyc@jlu.edu.cn.

Funding

National Natural Science Foundation of China 52173281
6 · The paper itself

Abstract

Kidney Stone Disease (KSD) is a prevalent urological condition, while abdominal obesity is on the rise globally. The conicity index, measuring body fat distribution, is crucial but under-researched in its relation to KSD and all-cause mortality. This study, using data from 59,842 participants in the NHANES (2007-2018), calculated the conicity index from waist circumference, height, and weight. Logistic regression and Cox models revealed a significant positive correlation: each 0.1 unit increase in the conicity index was linked to a 23% rise in KSD odds (OR: 1.23, 95% CI: 1.14, 1.35) and higher predictive ability compared to traditional measures (AUC = 0.619). In KSD patients, this increase corresponded to a 44% higher risk of all-cause mortality (HR: 1.44, 95% CI: 1.14, 1.82), and in non-KSD patients, a 53% increase (HR: 1.53, 95% CI: 1.37, 1.70). Serum albumin and Red Cell Distribution Width (RDW) partially mediated these relationships. Addressing central obesity could significantly lower the risks of KSD and mortality.

Indexed as

Kidney CalculiAdultAgedBody Mass IndexFemaleHumansMaleMiddle AgedNutrition SurveysObesity, AbdominalPrevalenceRisk FactorsUnited StatesWaist CircumferenceAll-cause mortalityConicity indexKidney stone diseaseNHANESRed cell distribution widthSerum albumin

Identifiers

PMID39762499
PMCPMC11704305

What Socratic holds

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LicenceCC BY-NC-ND
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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.