Evidence map›Paper›PMID 42361091›Full record

ArticlePloS one2026

Comparative performance of invasive, semi-invasive, and non-invasive insulin resistance-related indices across prediabetes and normoglycemia.

Gitika Bhasin, Rucha S Dafale, Shobha U Kamath, Mukhyaprana M Prabhu, Suman Rawat, Mohit Kumar, Annapoorna K, Sahana Shetty, Lavya Shetty, Vasanthalaxmi K and 2 more

Abstract readComparative Study
In one paragraph

Article in PloS one, 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
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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

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

12 authors.

Gitika BhasinDivision of Yoga, Centre for Integrative Medicine and Research, Manipal Academy of Higher Education, Manipal, Karnataka, India.ORCID https://orcid.org/0000-0001-6774-5590
Rucha S DafaleDepartment of Physiology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Shobha U KamathDepartment of Biochemistry, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Mukhyaprana M PrabhuDepartment of Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.ORCID https://orcid.org/0000-0003-0679-3323
Suman RawatDepartment of Wellness and Yogic Science, School of Health Sciences and Technology, Dr. Vishwanath Karad MIT-World Peace University, Pune, Maharashtra, India.
Mohit KumarKasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Annapoorna KDivision of Yoga, Centre for Integrative Medicine and Research, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Sahana ShettyDepartment of Endocrinology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Lavya ShettyDivision of Yoga, Centre for Integrative Medicine and Research, Manipal Academy of Higher Education, Manipal, Karnataka, India.ORCID https://orcid.org/0000-0002-6255-213X
Vasanthalaxmi KDepartment of Physiology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Akhilesh K PandeyDepartment of Community Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Manjula S DDepartment of Physiology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.ORCID https://orcid.org/0000-0002-7274-8048

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insulin resistance, a defining abnormality in the development of type 2 diabetes, often emerges silently during prediabetes. This study evaluated the comparative performance of multiple insulin resistance-related indices across adults with prediabetes and normoglycemia. A cross-sectional analysis was conducted among 100 adults aged 25-55 years, equally divided between the two glycemic groups. Twenty-five candidate indices were examined, spanning blood-based indices, lipid-anthropometry combinations, and non-invasive anthropometric and body-composition measures, including several newly derived indices. Correlation analysis was performed to assess the relationship between candidate indices and the Homeostasis Model Assessment for Insulin Resistance, followed by logistic regression and receiver operating characteristic curve evaluation for indices showing significant correlations. Individuals with prediabetes demonstrated significantly higher adiposity and differences in metabolic parameters compared to individuals with normoglycemia (p < 0.05 for most variables). Seventeen of the twenty-five candidate indices showed significant correlations with the Homeostasis Model Assessment for Insulin Resistance. Among laboratory-based indices, the triglyceride-glucose index and the homeostasis model assessment showed good discriminative performance. Within lipid-anthropometry combinations, the triglyceride-glucose waist-to-height ratio and triglyceride-glucose waist circumference provided the best performance, each yielding an area under the curve of approximately 0.79. Several non-invasive indices also demonstrated good comparative performance. The bioimpedance-based somatotype adiposity index showed the highest overall performance among individual indices, with an area under the curve of 0.82, sensitivity of 78 percent, specificity of 80 percent, and an adjusted odds ratio of 14.9. These findings suggest that selected non-invasive anthropometric and body-composition indices may provide a practical and low-cost approach for assessing metabolic alterations associated with insulin resistance across glycemic groups, although further validation is required.

Indexed as

Blood GlucoseInsulin ResistancePrediabetic StateAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedROC CurveTriglyceridesBlood GlucoseTriglycerides

Identifiers

PMID42361091
PMCPMC13309026

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LicenceCC BY
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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 OpenQuestion graph.