Evidence mapPaperPMID 40114831Full record

ArticleTranslational andrology and urology2025

Causal associations of inflammatory cytokines and urinary stones: a two-sample Mendelian randomization study.

Huan Yao, Dan Yu, Qingyun He, Xiaoya Ning

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. Role of UropathogenicPathogens (Basel, Switzerland) · 2025
    Review
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

4 authors.

Huan YaoNephrology Department, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Dan YuNephrology Department, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Qingyun HeNephrology Department, Guizhou Hospital of The First Affiliated Hospital of Sun Yat-sen University, Guiyang, China.
Xiaoya NingNephrology Department, Guizhou Hospital of The First Affiliated Hospital of Sun Yat-sen University, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prior research has shown potential changes in cytokine and growth factor levels in patients with urinary stones, but the causal relationship remains uncertain. The purpose of this study was to investigate the causal relationship between cytokine and growth factor levels and urinary tract stones. Methods: This study used a two-sample Mendelian randomization (MR) with 41 circulating cytokines and growth factors datasets alongside urinary stone disease (USD) data. It employed various analytical methods including inverse variance weighted (IVW) analysis, maximum likelihood estimation, MR-Egger regression, weighted median approach, simple median method, and weighted mode to establish causal relationships. Sensitivity analysis included the MR-Egger regression intercept test and Cochrane's Q statistic. Results: Using the IVW method, an increase in stem cell growth factor β levels was associated with decreased urinary stone risk [odds ratio (OR) =0.9990; 95% confidence interval (CI): 0.9980-0.9999; P=0.04]. Conversely, an increase in interleukin-18 levels elevated the risk of urinary stones (OR =1.0012; 95% CI: 1.0002-1.0022; P=0.01). Various analytical methods consistently supported these findings. Conclusions: Our findings suggest a causal and unidirectional relationship between interleukin-18, stem cell growth factors, and USD. This indicates that these cytokines may actively contribute to the development or prevention of USD, offering a new avenue for clinical intervention based on cytokines modulation.

Indexed as

Inflammatory cytokinesMendelian randomization study (MR study)urinary stones

Identifiers

PMID40114831
PMCPMC11921299

What Socratic holds

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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 Socratic graph.