Evidence map›Paper›PMID 37208622›Full record

SynthesisBMC microbiology2023

Gut microbiota in patients with kidney stones: a systematic review and meta-analysis.

Tianhui Yuan, Yuqi Xia, Bojun Li, Weimin Yu, Ting Rao, Zehua Ye, Xinzhou Yan, Baofeng Song, Lei Li, Fangyou Lin and 1 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
8.9field-weighted citation impact, top 2% of its field
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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

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  13. Dietary baking soda (NaHCORenal failure · 2025
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  15. [Reduced intestinal abundance ofNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2025
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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

11 authors at 2 institutions in 1 country.

Tianhui Yuan *Department of Urology, Renmin Hospital of Wuhan University, Wuhan, China.
Yuqi Xia *Department of Urology, Renmin Hospital of Wuhan University, Wuhan, China.
Bojun Li *Department of Urology, Renmin Hospital of Wuhan University, Wuhan, China.
Weimin YuDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, China.
Ting RaoDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, China.
Zehua YeDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, China.
Xinzhou YanDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, China.
Baofeng SongDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, China.
Lei LiDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, China.
Fangyou LinDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, China. 2011302180205@whu.edu.cn.
Fan ChengDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, China. urology1969@aliyun.com.
Wuhan University · CNRenmin Hospital of Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMounting evidence indicates that the gut microbiome (GMB) plays an essential role in kidney stone (KS) formation. In this study, we conducted a systematic review and meta-analysis to compare the composition of gut microbiota in kidney stone patients and healthy individuals, and further understand the role of gut microbiota in nephrolithiasis.

resultsSix databases were searched to find taxonomy-based comparison studies on the GMB until September 2022. Meta-analyses were performed using RevMan 5.3 to estimate the overall relative abundance of gut microbiota in KS patients and healthy subjects. Eight studies were included with 356 nephrolithiasis patients and 347 healthy subjects. The meta-analysis suggested that KS patients had a higher abundance of Bacteroides (35.11% vs 21.25%, Z = 3.56, P = 0.0004) and Escherichia_Shigella (4.39% vs 1.78%, Z = 3.23, P = 0.001), and a lower abundance of Prevotella_9 (8.41% vs 10.65%, Z = 4.49, P < 0.00001). Qualitative analysis revealed that beta-diversity was different between the two groups (P < 0.05); Ten taxa (Bacteroides, Phascolarctobacterium, Faecalibacterium, Flavobacterium, Akkermansia, Lactobacillus, Escherichia coli, Rhodobacter and Gordonia) helped the detection of kidney stones (P < 0.05); Genes or protein families of the GMB involved in oxalate degradation, glycan synthesis, and energy metabolism were altered in patients (P < 0.05).

conclusionsThere is a characteristic gut microbiota dysbiosis in kidney stone patients. Individualized therapies like microbial supplementation, probiotic or synbiotic preparations and adjusted diet patterns based on individual gut microbial characteristics of patients may be more effective in preventing stone formation and recurrence.

Indexed as

Gastrointestinal MicrobiomeKidney CalculiSynbioticsDysbiosisFlavobacteriumHumansDietGut microbiotaGut microbiota dysbiosisKidney stonesMicrobiomeSystematic review and meta-analysis

Identifiers

PMID37208622
PMCPMC10197343
OpenAlexW4377139624

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.