Evidence map›Paper›PMID 39755571›Full record

ArticleBMJ open2025

Association between serum uric acid and dyslipidaemia in type 2 diabetes: a cross-sectional study.

Mingyang Zhao, Xiaoqing Ma, Zhang Xia, Jinmei Zhang, Jiale Zhong, Peiyu Ye, Guozheng Xu, Sen Qiao, Shulong Shi, Yan He and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

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

  1. Pooled it
  2. Effect of Hyperglycemia on Serum Uric Acid Levels in Patients with Type 2 Diabetes Mellitus.Nigerian medical journal : journal of the Nigeria Medical Association
    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

11 authors.

Mingyang ZhaoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Xiaoqing MaDepartment of Endocrinology, Jining No.1 People's Hospital, Shandong First Medical University, Jining, Shandong, China.
Zhang XiaDepartment of Epidemiology and Biostatistics, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0001-8833-773X
Jinmei ZhangDepartment of Endocrinology, Weifang Traditional Chinese Hospital, Weifang, Shandong, China.
Jiale ZhongDepartment of Public Service Management, School of Management, Weifang Medical University, Weifang, Shandong, China.
Peiyu YeDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Guozheng XuDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Sen QiaoDepartment of Hepatological Surgery, Jining No.1 People's Hospital, Shandong First Medical University, Jining, Shandong, China.
Shulong ShiDepartment of Endocrinology, Jining No.1 People's Hospital, Shandong First Medical University, Jining, Shandong, China.
Yan HeDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China yanhe12201220@163.com.ORCID http://orcid.org/0000-0002-6496-8016
Jiajia JiangPostdoctoral of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association between serum uric acid (SUA) and dyslipidaemia is still unclear in patients with type 2 diabetes mellitus (T2DM). This study aimed to examine the association between SUA and dyslipidaemia and to explore whether there is an optimal SUA level corresponding to the lower risk of suffering from dyslipidaemia. RESEARCH DESIGN AND

methodsThis cross-sectional study included 1036 inpatients with T2DM and the clinical data were extracted from the hospital medical records. Multivariate logistic regression analysis was performed to assess the association between hyperuricaemia and dyslipidaemia. Restricted cubic splines (RCS) analysis was performed to determine the optimal SUA level for the lower risk of dyslipidaemia.

resultsAfter adjustment for the potential confounders, hyperuricaemia was significantly associated with dyslipidaemia (OR=3.72, 95% CI: 2.28, 6.07) and hypertriglyceridaemia (OR=2.63, 95% CI: 1.68, 4.12). Notably, mediation analysis revealed a significant mediating effect of SUA in this relationship (indirect effect=0.08, p<0.001), elucidating 20.1% of the total relationship.

conclusionsHyperuricaemia was positively associated with dyslipidaemia and hypertriglyceridaemia. SUA mediated the effect of insulin resistance on triglyceride metabolism in patients with T2DM. A potential benefit of stricter control of SUA levels among patients with T2DM is possibly reducing the risk of dyslipidaemia.

Indexed as

Diabetes Mellitus, Type 2DyslipidemiasHyperuricemiaUric AcidAdultAgedCross-Sectional StudiesFemaleHumansHypertriglyceridemiaLogistic ModelsMaleMiddle AgedRisk FactorsUric AcidChronic DiseaseDIABETES & ENDOCRINOLOGYLipid disorders

Identifiers

PMID39755571
PMCPMC11749636

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.