Evidence map›Paper›PMID 34733660›Full record

ArticleTranslational andrology and urology2021

Incidence and correlation of metabolic syndrome and kidney stones in a healthy screening population.

Feng Qiu, Yunfeng Xu, Xiaodong Ji, Jinxian Pu, Jian Zhou, Yuhua Huang

Open access · diamondAbstract read
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Article in Translational andrology and urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Feng QiuDepartment of Urology, the First Affiliated Hospital of Soochow University, Suzhou, China.
Yunfeng XuDepartment of Urology, KunShan Second People's Hospital, Suzhou, China.
Xiaodong JiDepartment of Health Management Center, the First Affiliated Hospital of Soochow University, Suzhou, China.
Jinxian PuDepartment of Urology, the First Affiliated Hospital of Soochow University, Suzhou, China.
Jian ZhouCenter for Reproductive Medicine, Dushuhu Public Hospital Affiliated to Soochow University, Suzhou, China.
Yuhua HuangDepartment of Urology, the First Affiliated Hospital of Soochow University, Suzhou, China.
First Affiliated Hospital of Soochow University · CNSoochow University · CNXian Yang Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo study the incidence of metabolic syndrome (MetS) and kidney stones in a healthy screening population and to explore the correlation between them.

methodsThe physical examination data of 11,827 people screened at the First Affiliated Hospital of Soochow University from August 2019 to July 2020 were analyzed. MetS diagnostic criteria were based on the 2004 guidelines of Chinese Diabetes Society (CDS). Multivariate logistic regression was used to analyze the correlation between MetS and various characteristics and kidney stones. Trend analysis was represented by P value, and P<0.05 indicated statistical significance.

resultsThe present study comprised 6,570 males (55.6%, aged 46.15±13.653 years) and 5,257 females (44.4%, aged 41.41±11.712 years). Of these, 1,036 (8.8%) had kidney stones and 1,552 (13.1%) had MetS. Among the MetS patients, 35.1% had a body mass index (BMI) ≥25, 27.7% had hypertension, 10.8% had hyperglycemia, and 31.2% had dyslipidemia. Kidney stone morbidity was 14.5% in the MetS group and 7.9% in the non-MetS group (P<0.05). As the number of MetS characteristics increased, kidney stone morbidity showed a linear increasing trend (P<0.05 for trend). With an increase in BMI and blood triglycerides (TG), and a decrease in lipoprotein cholesterol (HDL-C), the incidence of kidney stones had an increasing trend (P<0.05 for trend). Sex, age and MetS were independent risk factors for the occurrence of kidney stones, with and odds ratio (OR) of 1.493 [95% confidence interval (CI): 1.264-1.763] for MetS. Of the MetS characteristics, BMI ≥25 and blood pressure (BP) ≥140/90 mmHg were independent risk factors for kidney stones, with OR values of 1.209 (95% CI: 1.047-1.396) and 1.248 (95% CI: 1.071-1.453), respectively.

conclusionsMetS is an independent risk factor for kidney stones. Appropriate medication and dietary advice may help to correct urinary metabolic abnormalities and prevent the recurrence of kidney stones.

Indexed as

hypertensionkidney stonesMetabolic syndrome (MetS)obesity

Identifiers

PMID34733660
PMCPMC8511539
OpenAlexW3202821724

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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.