Evidence map›Paper›PMID 37426600›Full record

ArticleTranslational andrology and urology2023

Kidney stones are associated with metabolic syndrome in a health screening population: a cross-sectional study.

Liangli Chen, Junlu Zhang, Keqing Shen, Yue Zhu, Jia Zhang, Jianjiang Pan, Liying Chen

Open access · diamondAbstract read
In one paragraph

Article in Translational andrology and urology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

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  8. [Association between the triglyceride-glucose index and the incidence of nephrolithiasis in male individuals].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Liangli ChenDepartment of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Junlu ZhangDepartment of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Keqing ShenDepartment of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Yue ZhuDepartment of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Jia ZhangDepartment of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Jianjiang PanDepartment of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Liying ChenDepartment of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Sir Run Run Shaw Hospital · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In parallel with the rise in obesity and metabolic syndrome (MetS), kidney stones are becoming more common. In this study, the relationship between MetS components and kidney stones in a health screening population was examined. Methods: Subjects who underwent health checkups in the Health Promotion Centre of Sir Run Run Shaw Hospital of Zhejiang University between January 2017 and December 2019 were recruited for this study. In this cross-sectional study, 74,326 participants were aged 18 or older. MetS diagnostic criteria were based on the joint statement of the International Diabetes Federation (IDF) and other associations on MetS in 2009. The association between MetS and its components with kidney stones was examined using multivariable logistic regression. Results: A total of 74,326 participants took part in this cross-sectional study, including 41,703 men (56.1%) and 32,623 women (43.9%). There were 24,815 (33.4%) patients with MetS and 2,032 (2.7%) patients with kidney stones. The prevalence of kidney stones was 3.3% in subjects with MetS and 2.4% in subjects without MetS (P<0.001). The odds ratio and 95% confidence interval (CI) for kidney stones in MetS patients were 1.157 (95% CI: 1.051-1.273). Accordingly, the prevalence of kidney stones showed a statistically significant trend of gradual increase as the number of MetS components increased (P<0.001). Among the components of MetS, elevated waist circumference, reduced high-density lipoprotein cholesterol (HDL-C), and elevated fasting blood glucose (FBG) were independent influencing factors of kidney stones (P<0.001), with odds ratios of 1.205 (95% CI: 1.085-1.337), 1.222 (95% CI: 1.105-1.351) and 1.335 (95% CI: 1.202-1.482), respectively. Conclusions: MetS is an independent risk factor for kidney stones. Therefore, the control of MetS may help reduce the incidence of kidney stones.

Indexed as

cross-sectional studydiabetesKidney stonesmetabolic syndrome (MetS)obesity

Identifiers

PMID37426600
PMCPMC10323452
OpenAlexW4382400120

What Socratic holds

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LicenceCC BY-NC-ND
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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.