Evidence map›Paper›PMID 40151354›Full record

ArticleFrontiers in nutrition2025

National analysis of the dietary index for gut microbiota and kidney stones: evidence from NHANES (2007-2018).

Xinzhou Yan, Xianhua Shao, Tengyue Zeng, Qijie Zhang, Junpeng Deng, Jianjun Xie

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Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xinzhou Yan *Department of Urology, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China.
Xianhua Shao *Department of Urology, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China.
Tengyue ZengDepartment of Urology, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China.
Qijie ZhangDepartment of Urology, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China.
Junpeng DengDepartment of Urology, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China.
Jianjun XieDepartment of Urology, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies have highlighted the effects of diet and gut microbiota on the incidence of kidney stones, and the dietary index for gut microbiota (DI-GM) is a new dietary index that accurately represents the variety of gut microbiota. The current study intends to examine the potential correlation between DI-GM and kidney stones. Methods: Data from the 2007-2018 National Health and Nutrition Examination Survey (NHANES) were employed in this cross-sectional study. The history of kidney stones was assessed using a kidney conditions questionnaire. In order to examine the correlation between DI-GM and kidney stones, multivariate logistic regression was implemented. Additionally, smoothed curve fitting, subgroup analyses, and sensitivity analyses were conducted. Results: The investigation encompassed a total of 21,587 participants. After adjusting for all potential covariates, we found that DI-GM was negatively related to the incidence of kidney stones (OR = 0.96, 95% CI = 0.93-0.98, Conclusion: A negative correlation between the incidence of kidney stones and DI-GM is supported by the evidence presented in this study. This finding emphasizes the potential benefits of adjusting dietary structure according to DI-GM in reducing the incidence of kidney stones. Further research should validate this discovery by employing longitudinal studies.

Indexed as

dietDI-GMgut microbiotakidney stonesNHANES

Identifiers

PMID40151354
PMCPMC11948278

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