Evidence map›Paper›PMID 40130163›Full record

ArticleFrontiers in endocrinology2025

Associations between cardiometabolic index with kidney stones: evidence from NHANES 2007-2018.

Suquan Zhong, Guoliang Li, Chao Tian, Maolin Jiang, Dong Chen, Hangtao Wang, Pengfei Diao

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. [Association between Chinese visceral adiposity index and the risk of nephrolithiasis].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2025
    Article
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

7 authors.

Suquan Zhong *Department of Urology, Yuebei People Hospital Affiliated to Medical College of Shantou University, Shaoguan, China.
Guoliang Li *Department of Urology, Yuebei People Hospital Affiliated to Medical College of Shantou University, Shaoguan, China.
Chao TianDepartment of Urology, Yuebei People Hospital Affiliated to Medical College of Shantou University, Shaoguan, China.
Maolin JiangDepartment of Urology, Yuebei People Hospital Affiliated to Medical College of Shantou University, Shaoguan, China.
Dong ChenDepartment of Urology, Yuebei People Hospital Affiliated to Medical College of Shantou University, Shaoguan, China.
Hangtao WangDepartment of Urology, Yuebei People Hospital Affiliated to Medical College of Shantou University, Shaoguan, China.
Pengfei DiaoDepartment of Urology, Yuebei People Hospital Affiliated to Medical College of Shantou University, Shaoguan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Kidney stones are a prevalent disorder that is linked to a range of metabolic variables. The cardiometabolic index (CMI) is a newly developed combined measure used to evaluate the state of cardiometabolic health. Nevertheless, the association between CMI and kidney stone remains little investigated. Methods: In this study, cross-sectional analysis was done on NHANES data from 2007 to 2018. The association between the prevalence of kidney stones and the CMI was investigated using a logistic regression analysis. To look into the nonlinear link between them, we used restricted cubic spline (RCS) analysis. The study was made more reliable and accurate by using sensitivity analysis and subgroup analysis to look for factors that may have contributed to the different results. Results: A significant association was seen between increased CMI and the prevalence of kidney stones (OR = 1.19, 95% CI: 1.06-1.32). The RCS analysis revealed crucial CMI values that exhibited a robust association within a certain range. Subgroup studies revealed that this link was particularly prominent among those below the age of 50, females, obese, CKD and diabetes patients. The dependability of the study's conclusions was further established using sensitivity analysis. Conclusion: This study established a notable association between CMI and a higher prevalence of kidney stones, emphasizing the significance of CMI as a comprehensive measure for evaluating metabolic risk. Furthermore, it suggests that monitoring CMI levels could be beneficial in identifying populations with a high prevalence of kidney stones.

Indexed as

Kidney CalculiAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysPrevalenceRisk FactorsYoung AdultCMIcross-sectional studykidney stonemetabolic syndromeNHANES

Identifiers

PMID40130163
PMCPMC11930802

What Socratic holds

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LicenceCC BY
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 Socratic graph.