Evidence map›Paper›PMID 41019606›Full record

ArticleRisk management and healthcare policy2025

The Relationship Between Thyroid Function Status and Serum Uric Acid Levels Based on a Restricted Cubic Spline Model: A Cross-Sectional Study.

Pengxia Qu, Shuang Yang, Yaowen Guo, Tiantao Jing, Wan Zhang, Yuanbin Li

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Article in Risk management and healthcare policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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3 · Its place in the literature

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Pengxia Qu *Department of Endocrinology, Taiyuan City Central Hospital, Taiyuan, Shanxi Province, People's Republic of China.
Shuang Yang *Department of Medicine, Fuyang Institute of Technology, Fuyang, Anhui Province, People's Republic of China.ORCID 0009-0001-8954-5976
Yaowen GuoDepartment of Endocrinology, Taiyuan City Central Hospital, Taiyuan, Shanxi Province, People's Republic of China.
Tiantao JingDepartment of Endocrinology, Taiyuan City Central Hospital, Taiyuan, Shanxi Province, People's Republic of China.
Wan ZhangDepartment of Endocrinology, Taiyuan City Central Hospital, Taiyuan, Shanxi Province, People's Republic of China.
Yuanbin LiDepartment of Endocrinology, Taiyuan City Central Hospital, Taiyuan, Shanxi Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To date, no comprehensive studies have examined the relationship between various thyroid function statuses and thyroid hormone levels with uric acid levels. This study aims to analyze the correlation between thyroid disease and hyperuricemia. Patients and Methods: Data from individuals undergoing health screenings in the Taiyuan area were collected. The data were categorized by thyroid disease type, thyroid function indices (FT4, FT3, and TSH), and serum uric acid (SUA) levels, followed by statistical analysis. Results: The analysis indicated that the prevalence rates were as follows: clinical hyperthyroidism (CHyper) at 0.9%, subclinical hyperthyroidism (SCHyper) at 0.7%, clinical hypothyroidism (CHypo) at 0.8%, subclinical hypothyroidism (SCHypo) at 13.7%, and hyperuricemia at 16.9%. Further analysis revealed that the prevalence of hyperuricemia increased with higher FT4 and FT3 levels but decreased with lower TSH levels. However, logistic regression analysis showed that after adjusting for covariates, thyroid disease status, including CHyper, SCHyper, CHypo, and SCHypo, was not significantly correlated with hyperuricemia. Among the thyroid function indices, only FT4 had a statistically significant effect on the risk of hyperuricemia (OR 1.028, 95% CI 1.011-1.045). Additionally, the restricted cubic spline (RCS) was employed to assess the dose-response relationship between thyroid function indicators (FT4, FT3, and TSH) within the normal reference range and the risk of hyperuricemia. The FT4 level exhibited a positive relationship with the risk of hyperuricemia (nonlinear test χ Conclusion: Thyroid disease status does not significantly affect hyperuricemia. However, within the normal range, the FT4 level demonstrates a positive dose-response relationship with the risk of hyperuricemia.

Indexed as

hyperthyroidismhyperuricemiahypothyroidismrestricted cubic splinethyroid hormone

Identifiers

PMID41019606
PMCPMC12476191

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