Evidence map›Paper›PMID 41368239›Full record

ArticleTranslational andrology and urology2025

Association between high fat diet and kidney stones based on the National Health and Nutrition Examination Survey (NHANES) 2007-2020: a cross-sectional study.

Chao Cheng, Xinyu Tang, Puhan Li, Yiqiong Yuan, Yaohui Jiang, Yucheng Ma, Jun Wen, Yao Ma, Xinna Li, Zhijie Yin and 6 more

Abstract read
In one paragraph

Article in Translational andrology and urology, 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. 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

16 authors.

Chao Cheng *Department of Urology, Institute of Urology (Laboratory of Reconstructive Urology), West China Hospital, Sichuan University, Chengdu, China.
Xinyu Tang *Department of Urology, Institute of Urology (Laboratory of Reconstructive Urology), West China Hospital, Sichuan University, Chengdu, China.
Puhan LiDepartment of Urology, Institute of Urology (Laboratory of Reconstructive Urology), West China Hospital, Sichuan University, Chengdu, China.
Yiqiong YuanDepartment of Urology, Institute of Urology (Laboratory of Reconstructive Urology), West China Hospital, Sichuan University, Chengdu, China.
Yaohui JiangDepartment of Urology, Institute of Urology (Laboratory of Reconstructive Urology), West China Hospital, Sichuan University, Chengdu, China.
Yucheng MaDepartment of Urology, Institute of Urology (Laboratory of Reconstructive Urology), West China Hospital, Sichuan University, Chengdu, China.
Jun WenDepartment of Urology, Institute of Urology (Laboratory of Reconstructive Urology), West China Hospital, Sichuan University, Chengdu, China.
Yao MaDepartment of Urology, Institute of Urology (Laboratory of Reconstructive Urology), West China Hospital, Sichuan University, Chengdu, China.
Xinna LiDepartment of Urology, Institute of Urology (Laboratory of Reconstructive Urology), West China Hospital, Sichuan University, Chengdu, China.
Zhijie YinDepartment of Urology, Institute of Urology (Laboratory of Reconstructive Urology), West China Hospital, Sichuan University, Chengdu, China.
Linhu LiuDepartment of Urology, Institute of Urology (Laboratory of Reconstructive Urology), West China Hospital, Sichuan University, Chengdu, China.
Jingwen WeiDepartment of Urology, Institute of Urology (Laboratory of Reconstructive Urology), West China Hospital, Sichuan University, Chengdu, China.
Tianyue LiDepartment of Urology, Institute of Urology (Laboratory of Reconstructive Urology), West China Hospital, Sichuan University, Chengdu, China.
Shiqian QiDepartment of Urology, Institute of Urology (Laboratory of Reconstructive Urology), West China Hospital, Sichuan University, Chengdu, China.
Xi JinDepartment of Urology, Institute of Urology (Laboratory of Reconstructive Urology), West China Hospital, Sichuan University, Chengdu, China.
Kunjie WangDepartment of Urology, Institute of Urology (Laboratory of Reconstructive Urology), West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The global incidence of kidney stones (KS) has increased markedly, affecting approximately 9% of the world's population. The well-established role of high fat diet (HFD) in promoting metabolic disorders through mechanisms such as chronic inflammation and gut dysbiosis, combined with clinical observations from lithogenic dietary patterns like the ketogenic diet, suggests that HFD may represent a significant yet underexplored risk factor for KS formation. This study aimed to explore the association between HFD and KS. Methods: This cross-sectional study enrolled participants from the National Health and Nutrition Examination Survey (NHANES) 2007-2020. Questionnaire and interview data were used to obtain information on HFD and the history of KS. Univariate and multivariate logistic regression analyses were conducted to explore the association between HFD and KS. Results: A total of 31,059 participants were included in the study, with a 9.7% (3,003/31,059) prevalence of KS. Regression analysis demonstrated that HFD was associated with a significantly increased risk of KS [odds ratio (OR) =1.23, 95% confidence interval (CI): 1.06-1.42, P=0.008]. This association persisted after adjustment for potential confounders. Furthermore, subgroup analyses identified no significant effect modifications. Conclusions: Our study revealed a positive association between HFD and the increasing risk of KS. However, larger prospective clinical studies are still needed to verify the conclusions.

Indexed as

dietary patternHigh fat diet (HFD)kidney stones (KS)National Health and Nutrition Examination Survey (NHANES)risk factor

Identifiers

PMID41368239
PMCPMC12683406

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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.