Evidence mapPaperPMID 42260474Full record

Observational studyBMC endocrine disorders2026

Comparison of anthropometric indicators for assessing current type 2 diabetes risk in adult patients.

Ekaterina Savelyeva, Ekaterina Kuzmina, Anastasiya Spaska, Dimitar Monov

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Observational study in BMC endocrine disorders, 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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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

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ekaterina SavelyevaDepartment of Medical Genetics and Postgenomic Technologies, Sechenov First Moscow State Medical University, Moscow, Russian Federation.
Ekaterina KuzminaDepartment of Polyclinic Therapy, Sechenov First Moscow State Medical University, Moscow, Russian Federation. ekaterinakuzmina@gmx.com.
Anastasiya SpaskaCollege of Medicine, Ajman University, Ajman, United Arab Emirates.
Dimitar MonovDepartment of Anaesthesiology and Intensive Care, Medical University Sofia, Sofia, Bulgaria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to compare the discriminative ability of the Visceral Obesity Index (VOI), body mass index (BMI) and waist circumference (WC) in identifying abnormal glucose metabolism (previously undiagnosed type 2 diabetes and prediabetes) in adults during a single screening visit.

methodsThis cross-sectional observational study included 4,250 individuals aged 25 to 60 years. All analyses were based on data obtained during a single screening visit. Participants were recruited consecutively from outpatient clinics and general medical practices in Moscow (Russian Federation) and Dubai (United Arab Emirates). The methods included anthropometric measurements (BMI, WC) and laboratory biochemical tests. Statistical analysis involved univariate and multivariate logistic regression to assess associations with type 2 diabetes, adjusted for age and gender; odds ratios (OR) with 95% confidence intervals (CI) were calculated. A receiver operating characteristic (ROC) curve analysis was performed to compare the diagnostic performance of VOI, BMI and WC. The area under the curve (AUC) was then calculated for each indicator. Type 2 diabetes was diagnosed in accordance with American Diabetes Association (ADA) guidelines. RESULTS AND

conclusionsVOI demonstrated a higher AUC compared with BMI and WC at identifying previously undiagnosed type 2 diabetes and prediabetes in adults. VOI may be a useful indicator for identifying individuals with abnormal glucose metabolism in screening settings.

trial registrationNot applicable. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

AnthropometryBiomarkersBody Mass IndexDiabetes Mellitus, Type 2Obesity, AbdominalPrediabetic StateWaist CircumferenceAdultBlood GlucoseCross-Sectional StudiesFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisBiomarkersBlood GlucoseGeneral obesityIncreased body massMetabolic syndromeObesityPrediabetes

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Registered trials

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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.