Evidence map›Paper›PMID 38509610›Full record

ArticleDiabetology & metabolic syndrome2024

Correlation between time in range and serum uric acid in Chinese patients with type-2 diabetes: an observational cross-sectional study.

Yan Liu, Xiaoren Peng, Chunjian Qiu, Jiaqing Shao

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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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

4 authors.

Yan LiuEndocrinology Department, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, 305 Zhongshan Dong Lu, Xuanwu District, Nanjing, 210000, Jingsu Province, China.
Xiaoren PengEndocrinology Department, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, 305 Zhongshan Dong Lu, Xuanwu District, Nanjing, 210000, Jingsu Province, China.
Chunjian QiuEndocrinology Department, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, 305 Zhongshan Dong Lu, Xuanwu District, Nanjing, 210000, Jingsu Province, China.
Jiaqing ShaoEndocrinology Department, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, 305 Zhongshan Dong Lu, Xuanwu District, Nanjing, 210000, Jingsu Province, China. shaojiaqing@nju.edu.cn.

Funding

National Natural Science Foundation of China 81873174
6 · The paper itself

Abstract

backgroundAt present, the relationship between serum uric acid and blood glucose is controversial, and even opposite conclusions have been reached. We aimed to investigate the relationship between time in range and serum uric acid and estimate the influence of serum uric acid on blood glucose fluctuations in Chinese patients with type-2 diabetes mellitus (T2DM).

methodsA total of 458 hospitalized patients with T2DM were selected. According to the SUA level, patients were divided into four groups by quartile: Q1 (≤ 254.5 µmol/L), Q2 (254.5-306.0 µmol/L), Q3 (306.0-385.5 µmol/L) and Q4 (> 385.5 µmol/L). The differences in general data, TIR and other clinical indicators between the four groups were assessed. Multifactor regression was used to analyze the relationship between subgroups of SUA and TIR, TBR, TAR, MAGE, SD, ADRR, MODD and M value. Curve fitting was used to analyze the association between TIR and SUA and to identify the inflection point.

resultsTIR showed an overall increasing trend with increasing SUA, while HbA1c, TAR, MAGE, SD, ADRR, MODD and M value showed an overall decreasing trend with increasing SUA. Multivariate regression analysis showed that, compared with Q1, there was no correlation between SUA and TIR, TAR, ADRR, SD, or MODD in all models of Q2. In the Q3 and Q4 groups, SUA was correlated with SD, MODD, and MAGE in all models. In the Q4 group, SUA was correlated with TIR, TAR, ADRR, and the M value in all models. When SUA > 306 µmol/L (Q3 and Q4), TIR and SUA have a curve-like relationship, and the inflection point of the fitted curve was SUA = 460 mmol/L. Before the inflection point, β was 0.1, indicating that when SUA increases by 10 mmol/L, the corresponding TIR increases by 1%. After the inflection point, there was no significant difference in the correlation between TIR and SUA (P > 0.05).

conclusionsThere is a close relationship between TIR and SUA in T2DM patients, it is speculated that SUA in a certain range had a positive protective effect on blood glucose control.

Indexed as

Continuous glucose monitoringHemoglobin A1CSerum uric acidTime in rangeType-2 diabetes mellitus

Identifiers

PMID38509610
PMCPMC10956183

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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 Socratic graph.