Evidence map›Paper›PMID 39512797›Full record

ArticleFrontiers in genetics2024

Association between gout and kidney stone: results from mendelian randomization and the NHANES study.

Shengkai Jin, Haochen Geng, Yichen Lu, Yuhua Zhou, Jing Lv, Chaowei Fu, Yuwei Zhang, Menglu Li, Ninghan Feng

Abstract read
In one paragraph

Article in Frontiers in genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

9 authors.

Shengkai Jin *Wuxi School of Medicine, Jiangnan University, Wuxi, China.
Haochen Geng *Wuxi School of Medicine, Jiangnan University, Wuxi, China.
Yichen Lu *Department of Urology, Jiangnan University Medical Center, Wuxi No. 2 People's Hospital, Wuxi, China.
Yuhua ZhouWuxi School of Medicine, Jiangnan University, Wuxi, China.
Jing LvWuxi School of Medicine, Jiangnan University, Wuxi, China.
Chaowei FuWuxi School of Medicine, Jiangnan University, Wuxi, China.
Yuwei ZhangDepartment of Urology, Jiangnan University Medical Center, Wuxi No. 2 People's Hospital, Wuxi, China.
Menglu LiDepartment of Urology, Jiangnan University Medical Center, Wuxi No. 2 People's Hospital, Wuxi, China.
Ninghan FengWuxi School of Medicine, Jiangnan University, Wuxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Kidney stones are a common urologic disease with an increasing incidence year by year, and there are similar influences between gout status and kidney stone incidence. Therefore the contribution of gout status to the incidence of kidney stones is unclear. The aim of this study was to investigate the relationship between gout status and kidney stones and to further explore the causal relationship by Mendelian randomization (MR) analysis. Method: An epidemiologic study of 49,693 participants in the 2009-2018 National Health and Nutrition Examination Survey (NHANES) was conducted to examine the association between the two. The causal relationship between gout status and kidney stones was assessed by Mendelian randomization analysis of data from the GWAS database. Result: A total of 28,742 participants were included in the NHANES analysis. We found that gout status was associated with an increased risk of kidney stones [odds ratio (OR) = 1.45 (95%CI, 1.243-1.692); Conclusion: There may be an association between gout status and kidney stone risk. This finding requires further large-sample studies and adequate follow-up.

Indexed as

cross-sectional researchgoutkidney stonemendelian randomizationnational health and nutrition examination survey

Identifiers

PMID39512797
PMCPMC11540767

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.