Evidence map›Paper›PMID 41695656›Full record

ArticleClinical kidney journal2026

Epidemiology and risk factors of urolithiasis: insights from SKIPOGH, a population-based cohort study in Switzerland.

Kevin Stritt, Maude Plouvin, Sandrine Estoppey Younes, Belen Ponte, Daniel Ackermann, Daniel G Fuster, Oliver Bonny, Beat Roth, Murielle Bochud, Menno Pruijm

Abstract read
In one paragraph

Article in Clinical kidney journal, 2026. 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. 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

10 authors.

Kevin StrittDepartment of Urology, University Hospital Lausanne (CHUV), University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0009-0003-6655-4604
Maude PlouvinDepartment of Urology, University Hospital Lausanne (CHUV), University of Lausanne, Lausanne, Switzerland.
Sandrine Estoppey YounesDepartment of Epidemiology and Health Systems, Unisanté, University Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland.
Belen PonteService de Néphrologie et Hypertension, Hôpitaux Universitaires de Genève, Geneva, Switzerland.
Daniel AckermannDepartment of Nephrology and Hypertension, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Daniel G FusterDepartment of Nephrology and Hypertension, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0001-7220-1803
Oliver BonnyService of Nephrology, Fribourg State Hospital, Fribourg, Switzerland.
Beat RothDepartment of Urology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Murielle BochudDepartment of Epidemiology and Health Systems, Unisanté, University Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland.
Menno PruijmService of Nephrology, University Hospital Lausanne (CHUV), University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0003-1027-1851

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Kidney stones represent a growing global health concern, with a lifetime prevalence estimated at 7%-13% in North America and 1%-5% in Asia, but European data are scarce. We assessed the prevalences and incidence of kidney stones in the Swiss adult population and identified associated factors. Methods: The Swiss Kidney Project on Genes in Hypertension (SKIPOGH) is a multicenter cohort including 1128 participants recruited from the general population of Lausanne, Geneva and Bern (2009-12). All underwent renal ultrasound at baseline and completed a standardized questionnaire. Predefined demographic, lifestyle and clinical variables included age, sex, BMI, education, smoking, physical activity, hypertension, diabetes, history of kidney stones, laboratory and urinary parameters. A follow-up visit was performed 3 years later. Logistic regression analysis was performed to identify factors associated with kidney stone prevalence at baseline and 3-year incidence of newly formed stones. Results: Ultrasound-detected kidney stones were present in 5.6% (6.1% men and 5.1% women). The 3-year incidence of new stones was 4.3% (4.1% men, 4.6% women). In multivariable logistic regression analysis, diabetes mellitus [odds ratio (OR) 2.93, 95% confidence interval (CI) 1.05-8.21, Conclusion: In this Swiss cohort, the prevalence of kidney stones was lower than that reported in North America but higher than in Asian populations. Diabetes mellitus, family history of kidney stones were the strongest risk factors for prevalent stones, while a personal history of kidney stones and low physical activity were predictors of incident stone formation. These data will help to inform prevention strategies.

Indexed as

cohort studyprevalencerisk factorsurolithiasis

Identifiers

PMID41695656
PMCPMC12902508

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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.