Evidence map›Paper›PMID 41884098›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2026

Correlation Analysis Between Obesity Index and Glycosylated Hemoglobin Level in Type 2 Diabetes Patients: A Cross-Sectional Study.

Pei Gang, Jianfeng Zhu, Bing Zhang, Yanxiao Zhao, Xiaowei Zhao, Beibei Luo

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Pei GangDepartment of Administration, Nanyang Second General Hospital, Nanyang, Henan Province, 473000, People's Republic of China.
Jianfeng ZhuDepartment of Administration, Nanyang Second General Hospital, Nanyang, Henan Province, 473000, People's Republic of China.
Bing ZhangDepartment of Administration, Nanyang Second General Hospital, Nanyang, Henan Province, 473000, People's Republic of China.
Yanxiao ZhaoDepartment of Administration, Nanyang Second General Hospital, Nanyang, Henan Province, 473000, People's Republic of China.
Xiaowei ZhaoDepartment of Pediatrics, Nanyang Second General Hospital, Nanyang, Henan Province, 473000, People's Republic of China.
Beibei LuoClinical Laboratory, People's Hospital of Yuxi City, the Sixth Affiliated Hospital of Kunming Medical University, Yuxi City, Yunnan Province, 653100, People's Republic of China.ORCID 0000-0002-1481-3008

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The global prevalence of type 2 diabetes mellitus (T2DM) is increasing rapidly. However, the relationship between obesity indexes and Glycosylated hemoglobin (HbA1c) levels remains unclear. Methods: This cross-sectional study included 3,898 patients with T2DM who were treated in the Department of Endocrinology at Yuxi People's Hospital between March 2018 and December 2024. Participants were grouped according to whether their HbA1c levels were below 7.0%. Linear regression analysis was performed to evaluate the associations between body mass index (BMI), visceral fat area (VFA), and waist circumference (WC) with glycosylated hemoglobin. In addition, a correlation matrix was generated. Results: Participants with HbA1c ≥ 7.0% were slightly younger (52.9 ± 11.3 vs 53.9 ± 11.7 years, p = 0.017) and had higher BMI (25.4 ± 3.6 vs 25.1 ± 3.5 kg/m Conclusion: There was no significant correlation between obesity indexes and HbA1c levels among patients with T2DM.

Indexed as

BMIHbA1cT2DM

Identifiers

PMID41884098
PMCPMC13012630

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 OpenQuestion graph.