Evidence map›Paper›PMID 41286669›Full record

ArticleBMC nephrology2025

Associations between estimated glucose disposal rate and hyperuricemia in patients with type 2 diabetes mellitus: a cross-sectional study.

Dou Tang, Ping Gao, Wei Xie, Sujie Wang, Xun Wang, Leiqun Lu

Abstract read
In one paragraph

Article in BMC nephrology, 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

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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

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

  1. Pooled it
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Dou Tang *Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Ping Gao *Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Wei Xie *Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Sujie WangDepartment of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Xun WangDepartment of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Leiqun LuDepartment of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, Shanghai, China. llqlzy1@163.com.

Funding

the Shanghai Huangpu District Health Commission HLM202206
6 · The paper itself

Abstract

backgroundThe estimated glucose disposal rate (eGDR) is a novel surrogate for insulin resistance (IR). While it has shown potential in cardiovascular and metabolic outcomes, its relationship with hyperuricemia remains unclear. Therefore, this study aims to explore the association between eGDR and hyperuricemia in patients with type 2 diabetes mellitus (T2DM).

methodsA total of 1,238 patients with T2DM were included in this cross-sectional study. eGDR was calculated using waist circumference, hypertension diagnosis, and HbA1c values measured at baseline. Logistic regression models were used to evaluate the association between eGDR and hyperuricemia. Stratified and interaction analyses were performed to confirm the reliability of the results.

resultsThe prevalence of hyperuricemia was 29.7% in our study. After adjusting for potential confounders, each standard deviation (SD) increase in eGDR was associated with 17% lower odds of hyperuricemia (OR = 0.83, 95% CI: 0.72-0.95, P < 0.001). This significant negative association between eGDR and hyperuricemia remained consistent when eGDR was analyzed in tertiles. Subgroup analyses showed that lower eGDR levels were associated with higher odds of hyperuricemia across all subgroups, with no significant interaction effects.

conclusionseGDR was inversely associated with hyperuricemia in Chinese patients with type 2 diabetes mellitus.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2HyperuricemiaAgedChinaCross-Sectional StudiesFemaleHumansInsulin ResistanceMaleMiddle AgedPrevalenceBlood GlucoseeGDRHyperuricemiaInsulin resistanceType 2 diabetes mellitus

Identifiers

PMID41286669
PMCPMC12645770

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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.