Evidence map›Paper›PMID 41931314›Full record

Observational studyMedicine2026

Hyperthyroidism drives gout risk: A Mendelian randomization observational study.

Yangtao Pan, Shichao Zhou, Danyan Luo

Abstract readObservational Study
In one paragraph

Observational study in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Yangtao PanDepartment of Colorectal Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.ORCID 0009-0009-9490-6201
Shichao ZhouSchool of Mathematics, Nanjing Audit University, Nanjing, China.
Danyan LuoDepartment of Ophthalmology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The causal interplay between thyroid dysfunction and gout remains controversial because of confounding and reverse causation in observational studies. Using Mendelian randomization (MR), this study investigated the causal effects of hyperthyroidism and hypothyroidism on the risk of gout. Summary statistics from the UK Biobank and FinnGen genome-wide association study databases were analyzed using 2-sample MR. Genetic instruments for thyroid dysfunction were selected under stringent criteria (P < 5 × 10-8, r2 < 0.001). Causal estimates were derived using inverse-variance weighted regression, supplemented by sensitivity analyses (MR-Egger, weighted median) and bidirectional MR. Genetically predicted hyperthyroidism exhibited a significant positive causal association with gout in both the UK Biobank (OR = 1.215, 95% confidence interval: 1.087-1.332, P = 3.12 × 10-5) and FinnGen cohorts (OR = 1.091, 95% confidence interval: 1.004-1.187, P = .041). No causal link was observed for the hypothyroidism. Bidirectional MR revealed no reverse causality, and sensitivity analyses confirmed robustness against pleiotropy and heterogeneity (P > .05). This study provides genetic evidence that hyperthyroidism is an independent risk factor of gout, indicating a possible unidirectional causal relationship. These findings underscore the necessity of closely monitoring uric acid levels in patients with hyperthyroidism and illuminating specific pathophysiological pathways that warrant further investigation of their underlying mechanisms.

Indexed as

GoutHyperthyroidismGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansHypothyroidismMendelian Randomization AnalysisPolymorphism, Single NucleotideRisk FactorsUnited Kingdomcausal inferencegouthyperthyroidismhypothyroidismMendelian randomization

Identifiers

PMID41931314
PMCPMC13052943

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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 OpenQuestion graph.