Evidence map›Paper›PMID 33229629›Full record

ArticleJournal of obesity & metabolic syndrome2020

Cut-off Values and Clinical Utility of Surrogate Markers for Insulin Resistance and Beta-Cell Function to Identify Metabolic Syndrome and Its Components among Southern Indian Adults.

Chiranjeevi Kumar Endukuru, Girwar Singh Gaur, Dhanalakshmi Yerrabelli, Jayaprakash Sahoo, Balasubramaniyan Vairappan

Abstract read
In one paragraph

Article in Journal of obesity & metabolic syndrome, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  19. Correlates of Insulin Resistance in Nascent Metabolic Syndrome.Clinical medicine insights. Endocrinology and diabetes · 2023
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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

5 authors.

Chiranjeevi Kumar EndukuruDepartment of 1Physiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.
Girwar Singh GaurDepartment of 1Physiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.ORCID https://orcid.org/0000-0002-6593-5187
Dhanalakshmi YerrabelliDepartment of 1Physiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.
Jayaprakash SahooDepartment of Endocrinology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.
Balasubramaniyan VairappanDepartment of Biochemistry, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInsulin resistance (IR) is a collective clinical entity that exacerbates metabolic syndrome (MetS). As the gold-standard test to quantify IR involves intravenous insulin loading and repeated blood glucose monitoring, many indices have been developed for IR assessment for convenience. This study tested the ideal cut-off values and clinical utility of IR indices in identifying MetS.

methodsWe recruited 150 subjects, 75 MetS patients and 75 healthy controls, then obtained written informed consent to participate in this study. We collected fasting blood samples for glucose and lipid profiles and calculated nineteen indices of IR and insulin secretion using validated formulae. We determined the precision of these IR indices using the area under the curve (AUC) in a receiver operating characteristic analysis.

resultsSubjects with MetS have significantly higher IR coupled with lower insulin sensitivity and beta-cell function than controls. Among the surrogate markers of IR tested, the homeostatic model assessment of insulin resistance (HOMA-IR), HOMA-adiponectin (HOMA-AD), triglyceride-glucose (TyG) index, HOMA-1%S (insulin sensitivity), quantitative insulin sensitivity check index (QUICKI), McAuley index, single-point insulin sensitivity estimator (SPISE), and HOMA-2%B (beta-cell function) showed the highest AUC values for detecting MetS.

conclusionOur study results suggest that the ideal cut-off and AUC values identified for HOMA-IR, HOMA-AD, the TyG index, HOMA-1%S, QUICKI, the McAuley index, SPISE, and HOMA-2%B offer a clinical approach to the early detection and risk stratification for MetS among people in southern India.

Indexed as

Beta-cell functionHomeostatic model assessment-adiponectinHomeostatic model assessment of insulin resistanceInsulin sensitivityMcAuley indexSingle-point insulin sensitivity estimator

Identifiers

PMID33229629
PMCPMC7789024

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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.