Evidence map›Paper›PMID 38767720›Full record

ArticleWorld journal of urology2024

Predictive ability of novel and traditional anthropometric measurement indices for kidney stone disease: a cross-sectional study.

Guanglin Lv, Xiang Li, Xin Zhou, Yang Wang, Ye Gu, Xianfa Yang

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Article in World journal of urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Guanglin Lv *Department of Urology, Jiangnan University Medical Center, 68 Zhongshan Road, Liangxi District, Wuxi, 214000, Jiangsu, China.
Xiang Li *Department of Urology, Kunshan Hospital of Traditional Chinese Medicine, Kunshan, 215300, Jiangsu, China.
Xin ZhouDepartment of Urology, Jiangnan University Medical Center, 68 Zhongshan Road, Liangxi District, Wuxi, 214000, Jiangsu, China.
Yang WangDepartment of Urology, Jiangnan University Medical Center, 68 Zhongshan Road, Liangxi District, Wuxi, 214000, Jiangsu, China.
Ye GuDepartment of Urology, Jiangnan University Medical Center, 68 Zhongshan Road, Liangxi District, Wuxi, 214000, Jiangsu, China.
Xianfa YangDepartment of Urology, Jiangnan University Medical Center, 68 Zhongshan Road, Liangxi District, Wuxi, 214000, Jiangsu, China. yangxianfa2006@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of our research was to examine the association of novel anthropometric indices (a body shape index (ABSI), waist-to-height ratio (WtHR), conicity index (CI) and body roundness index (BRI)) and traditional anthropometric indices (body mass index (BMI), and waist (WC)) with prevalence of kidney stone disease (KSD) in the general population of United States (U.S.).

methodsIn this study, we conducted a cross-sectional analysis among the participants in the National Health and Nutrition Examination Survey between the years 2007 and 2020. Weighted multivariable logistic regression analysis, restricted cubic spline (RCS), receiver operating characteristic (ROC) curves, and subgroup analysis were performed to analyze the association of ABSI, BRI, WtHR, CI, BMI and WC with prevalence of KSD.

resultsIn total, 11,891 individuals were included in our study. The RCS plot shown that the linear positive association was found between ABSI, BRI, WtHR, CI, BMI and WC and KSD risk. Additionally, the ROC curve demonstrated that the area under the curve of ABSI, BRI, WtHR, and CI was significantly higher than traditional anthropometric indices, including BMI and WC.

conclusionsOur study found that the discriminant ability of ABSI, BRI, WtHR, and CI for KSD was higher than BMI and WC. Consequently, ABSI, BRI, WtHR, and CI have the potential to become new indicators for the detection of KSD risk in clinical practice.

Indexed as

AnthropometryKidney CalculiPredictive Value of TestsAdultBody Mass IndexCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceUnited StatesWaist-Height RatioA body shape indexBody roundness indexConicity indexCross-sectional studyKidney stone diseaseWaist-to-height ratio

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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.