Evidence map›Paper›PMID 37719790›Full record

ArticleTherapeutic advances in endocrinology and metabolism2023

Prevalence and associated factors of hyperuricemia among Chinese patients with diabetes: a cross-sectional study.

Shiyi Sun, Lihong Chen, Dawei Chen, Yan Li, Guanjian Liu, Lin Ma, Jun Li, Fangwei Cao, Xingwu Ran

Abstract read
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Article in Therapeutic advances in endocrinology and metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
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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

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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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Shiyi SunDepartment of Endocrinology & Metabolism, West China Hospital, Sichuan University, Chengdu, China.
Lihong ChenDepartment of Endocrinology & Metabolism, West China Hospital, Sichuan University, Chengdu, China.
Dawei ChenDepartment of Endocrinology & Metabolism, West China Hospital, Sichuan University, Chengdu, China.
Yan LiDepartment of Clinical Research Management, West China Hospital, Sichuan University, Chengdu, China.
Guanjian LiuChinese Cochrane Centre, Chengdu, China.
Lin MaWest China School of Nursing, Sichuan University, Chengdu, China.
Jun LiWannian Community Health Center in Chenghua District, Chengdu, China.
Fangwei CaoBaohe Community Health Center in Chenghua District, Chengdu, China.
Xingwu RanDepartment of Endocrinology & Metabolism, West China Hospital, Sichuan University, 37 Guoxue Lane, Wuhou District, Chengdu, Sichuan, China.ORCID https://orcid.org/0000-0002-6634-1241

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As a part of metabolic syndrome, hyperuricemia has a higher incidence in patients with diabetes than in the general population owing to various underlying factors. Objectives: The objective of the present study was to investigate the prevalence of hyperuricemia among patients with diabetes and identify associated factors. Design: A cross-sectional study. Methods: Herein, we included patients with diabetes managed at nine healthcare centers in Chenghua District, Chengdu, from February 2021 to November 2021. Clinical data, lifestyle habits, and laboratory data were collected to determine the prevalence and factors associated with hyperuricemia. Results: In total, we included 1577 patients with diabetes (males, 50.35%; females, 49.65%). The median serum uric acid level was 337.9 μmol/L, and the prevalence of hyperuricemia in patients with diabetes was 21.24%. The prevalence of hyperuricemia in male patients was significantly higher than in females (29.35% in males Conclusion: Hyperuricemia is highly prevalent in patients with diabetes, especially in males. In addition to traditionally associated factors, fenofibrate and SGLT-2 inhibitors were also associated with the risk of hyperuricemia. Registration: The study protocol was registered in the Chinese Clinical Trial Registry (http://www.chictr.org.cn/), and the registration number was ChiCTR 2100042742.

Indexed as

associated factorsdiabeteshyperuricemiaprevalenceserum uric acid

Identifiers

PMID37719790
PMCPMC10501065

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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.