Evidence map›Paper›PMID 32693968›Full record

ArticleJournal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation2021

Relationship Between Body Mass Index and Kidney Stones Based on Dose-Response Analyses Using Restricted Cubic Splines Applied to NHANES 2011-2016 Data.

Xiaojie Feng, Wentao Wu, Fanfan Zhao, Fengshuo Xu, Didi Han, Xiaojuan Guo, Jun Lyu

Abstract read
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In one paragraph

Article in Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 15% of its field
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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  6. Ethnic diversity and urolithiasis: a single-center experience.International urology and nephrology · 2025
    Article
  7. Article
  8. Article
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  12. Observational
  13. Impact of diet on renal stone formation.Journal of family medicine and primary care · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Xiaojie FengDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China; School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Wentao WuSchool of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Fanfan ZhaoDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China; School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Fengshuo XuDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China; School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Didi HanDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China; School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Xiaojuan GuoDepartment of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Jun LyuDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China; School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China. Electronic address: lujun2006@xjtu.edu.cn.
First Affiliated Hospital of Jinan University · CNXi'an Jiaotong University · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of the study was to estimate the dose-response relationship between body mass index (BMI) and the self-reported prevalence of kidney stones based on a restricted cubic spline (RCS) method.

methodsThis cross-sectional study analyzed 13,223 adults aged ≥20 years who had participated in the National Health and Nutrition Examination Survey performed during 2011-2016. Kidney stones were identified using a standard questionnaire, and physical examinations were used to determine BMI. Logistic regression was used to assess the relationship between BMI and the prevalence of kidney stones, with the dose-response relationship explored using RCSs.

resultsThe overall prevalence of kidney stones was 9.7%: 10.6% in males and 8.9% in females. After adjusting for potential confounders, compared with those with a BMI in quartile 1, the odds ratios of kidney stones among those with BMIs in quartiles 2, 3, and 4 were 1.45, 1.60, and 2.00, respectively (95% confidence interval = 1.21-1.75, 1.33-1.92, and 1.67-2.39; all P < .001). Multivariate RCS regression revealed that BMI was related to kidney stones in a nonlinear manner (P for nonlinearity <0.001). There was a significant positive relationship, with the curves being steeper when BMI was <28 kg/m

conclusionThis analysis of National Health and Nutrition Examination Survey data has demonstrated that BMI is significantly associated with the prevalence of kidney stones.

Indexed as

Kidney CalculiAdultBody Mass IndexCross-Sectional StudiesFemaleHumansMaleNutrition SurveysOdds Ratio

Identifiers

PMID32693968
OpenAlexW3042702054

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.