Evidence map›Paper›PMID 42290969›Full record

ArticleFrontiers in clinical diabetes and healthcare2026

Age, dyslipidemia, and gamma-glutamyl transferase are associated with diabetes in obesity: a cross-sectional study.

Shaomei Wang, Yongdong Su, Yanfeng Zhu, Lingyu Zhong, Xi Wang

Abstract read
In one paragraph

Article in Frontiers in clinical diabetes and healthcare, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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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

5 authors.

Shaomei WangDepartment of Endemic and Parasitic Diseases Prevention and Control, Hechuan District Center for Disease Control and Prevention, Chongqing, China.
Yongdong SuDepartment of Forensic Technology, Criminal Investigation Detachment, Hechuan District Public Security Bureau, Chongqing, China.
Yanfeng ZhuSchool of Public Health, Chengdu Medical College, Chengdu, China.
Lingyu ZhongDepartment of Clinical Nutrition, Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region, Chengdu, China.
Xi WangDepartment of Endocrinology, Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Obesity can lead to various complications, particularly diabetes, which imposes a substantial health and economic burden on affected individuals. However, there remains limited research on identifying which subgroups of individuals with obesity are at higher risk of developing diabetes. Patients and methods: A convenience sampling method was used to select individuals with primary obesity from a hospital. Binary logistic regression analysis was employed to identify associated factors for the co-occurrence of diabetes and obesity. Results: The prevalence of diabetes among individuals with obesity was 20.97%. The group with both obesity and diabetes showed a higher waist-to-hip ratio (WHR) and lower muscle mass percentages in both lower limbs compared to individuals with obesity but without diabetes. Age ( Conclusion: Age, dyslipidemia, and GGT may help identify individuals with obesity at higher diabetes risk. Abnormal findings in these markers may warrant timely intervention to reduce diabetes incidence.

Indexed as

agediabetesdyslipidemiaGGTobesity

Identifiers

PMID42290969
PMCPMC13259638

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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.