Association of dietary live microbe intake with kidney stone disease in US adults: a real-world cross-sectional study

Higher dietary live microbe intake group may be associated with a reduced risk of KSD. Further prospective studies are necessary to validate these findings and to elucidate the specific mechanisms and optimal intake levels of dietary microbes.

Authors

Institutions

Publication Details

Journal
Frontiers in Nutrition
Published
2024-10-21
DOI
https://doi.org/10.3389/fnut.2024.1463352
Citations
5
Primary Topic
Kidney Stones and Urolithiasis Treatments
Type
article
Field-Weighted Citation Impact
2.09

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association of dietary live microbe intake with kidney stone disease in US adults: a real-world cross-sectional study

Xiaoming Cao, Zhongyi Zheng
5 citations
Frontiers in Nutrition
Kidney Stones and Urolithiasis Treatments
2.09
article

Association of dietary live microbe intake with kidney stone disease in US adults: a real-world cross-sectional study

Xiaoming Cao, Zhongyi Zheng
article en
5 citations

Abstract

Higher dietary live microbe intake group may be associated with a reduced risk of KSD. Further prospective studies are necessary to validate these findings and to elucidate the specific mechanisms and optimal intake levels of dietary microbes.

Frontiers in NutritionVol. 11
Shanxi Medical University (CN), First Hospital of Shanxi Medical University (CN)
Centers for Disease Control and Prevention
Good health and well-being
Openalex Percentile: Top 12%
Kidney Stones and Urolithiasis Treatments
2.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.