Evidence map›Paper›PMID 37229354›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2023

Association Between Hemoglobin Glycation Index and Metabolic Syndrome in Middle-Aged and Older People.

Si-Si Xie, Xiao-Ting Luo, Ming-Hua Dong, Qi Wang, Jian Li, Qing-Feng Wu

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers 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

6 authors.

Si-Si XieSchool of Graduate, Gannan Medical University, Ganzhou, Jiangxi, People's Republic of China.
Xiao-Ting LuoSchool of General Medicine, Gannan Medical University, Ganzhou, Jiangxi, People's Republic of China.
Ming-Hua DongSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, Jiangxi, People's Republic of China.ORCID 0009-0003-6127-0856
Qi WangSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, Jiangxi, People's Republic of China.
Jian LiSchool of Basic Medical, Gannan Medical University, Ganzhou, Jiangxi, People's Republic of China.ORCID 0000-0003-1916-0488
Qing-Feng WuSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, Jiangxi, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Hemoglobin glycation index (HGI) is used to describe the difference between estimated and measured glycated hemoglobin A1c (HbA1c). The present study aimed to investigate the association between metabolic syndrome (MetS) and HGI in middle-aged and elderly Chinese. Patients and Methods: In this cross-sectional study, a multi-stage random sampling method was used to select objects from the permanent residents aged 35 years and above living in Ganzhou, Jiangxi, China. The demographic information, history of illness, physical examination, and blood biochemistry data were obtained. HGI was calculated from fasting plasma glucose (FPG) and HbA1c (HGI = measured HbA1c value - predicted HbA1c value). All participants were divided into low HGI and high HGI groups using the median HGI as a cut-off value. Univariate analysis was used to detect the influencing factors of HGI, and Logistic regression analysis was adopted to analyze the relationship between significant variables found in univariate analysis, MetS, or MetS's components and HGI. Results: A total of 1826 participants were enrolled in the study, and the prevalence of MetS was 27.4%. There were 908 in the low HGI group and 918 in the high HGI group, and the prevalence of MetS was 23.7% and 31.0%, respectively. Logistic regression analysis showed that the prevalence of MetS in the high HGI group was higher than that in the low HGI group (OR=1.384, 95% CI:1.110~1.725), further analysis showed that HGI was related with abdominal obesity (OR=1.287, 95% CI:1.061~1.561), hypertension (OR=1.349, 95% CI:1.115~1.632), and hypercholesterolemia (OR=1.376, 95% CI:1.124~1.684) (all P < 0.05). After adjusting for age, sex, and serum uric acid (UA), the relationship still existed. Conclusion: This study found that HGI is directly associated with MetS.

Indexed as

cross-sectional studyhemoglobin glycation indexmetabolic syndrome

Identifiers

PMID37229354
PMCPMC10204862

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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.