Evidence map›Paper›PMID 31851461›Full record

ArticleInternational braz j urol : official journal of the Brazilian Society of Urology

Upper urinary tract stone compositions: the role of age and gender.

Shu Wang, Yitian Zhang, Xin Zhang, Yuzhe Tang, Jianxing Li

Abstract read
In one paragraph

Article in International braz j urol : official journal of the Brazilian Society of Urology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

39 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  9. [Stones in the lower pole and their treatment].Urologie (Heidelberg, Germany) · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Shu WangDepartment of Urology, Beijing Tsinghua Changgung Hospital, Beijing, China.
Yitian ZhangUniversity of North Carolina at Chapel Hill, Chapel Hill, USA.
Xin ZhangDepartment of Urology, Beijing Tsinghua Changgung Hospital, Beijing, China.
Yuzhe TangDepartment of Urology, Beijing Tsinghua Changgung Hospital, Beijing, China.
Jianxing LiDepartment of Urology, Beijing Tsinghua Changgung Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the compositions of upper urinary tract stones and investigate their distributions in different gender and age groups. MATERIALS AND

methodsPatients diagnosed with upper urinary tract stone disease between December 2014 and March 2018 were retrospectively reviewed. Patient's age, gender, BMI, comorbidities, stone event characteristics, and compositions were collected, and proportions of stone components in different gender and age groups were analyzed.

resultsA total of 1532 stone analyses were performed (992 from males and 540 from females). The mean age was younger in males (p<0.001). Males included more cases with larger BMI, hyperuricemia, and obesity, while females had more urinary tract infections. Multiple components were present in 61.8% of stones. Calcium oxalate (CaOx) (67.0%) was the most common component, followed by uric acid (UA) (11.8%), infection stone (11.4%), calcium phosphate (CaP) (8.0%), cystine (1.1%), brushite (0.4%), and 2,8-dihydroxyadenine (0.2%). Men contributed with more CaOx stones than women at age 30-49 years (all p<0.01) and more UA stones at 30-59 years (all p<0.05). Women contributed with more infection stones than men in age groups 30-49 and 60-69 years (all p<0.05), and more CaP stones at 30-49 years. The prevalence peak was 50-59 years in men and 60-69 years in women. Both genders had the lowest prevalence in adolescence. Prevalence of UA stones increased while that of infection stones decreased with aging in both genders.

conclusionsAge and sex had a strong association with distribution of stone compositions in this Chinese cohort.

Indexed as

AdenineAdultAge DistributionAge FactorsCalcium OxalateCalcium PhosphatesChinaFemaleHumansLogistic ModelsMaleMiddle AgedPrevalenceRetrospective StudiesRisk FactorsSex Distribution2,8-dihydroxyadenineAdenineCalcium Oxalatecalcium phosphatecalcium phosphate, dibasic, dihydrateCalcium PhosphatesUric AcidAge GroupsGender IdentityUrinary Calculi

Identifiers

PMID31851461
PMCPMC6968895

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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.