Evidence map›Paper›PMID 40421243›Full record

ArticleFrontiers in endocrinology2025

Evaluating indices of insulin resistance and estimating the prevalence of insulin resistance in a large biobank cohort.

Usama Aliyu, Salman M Toor, Ibrahem Abdalhakam, Mohamed A Elrayess, Abdul Badi Abou Samra, Omar M E Albagha

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  9. Insulin Resistance and Inflammation.International journal of molecular sciences · 2026
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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

6 authors.

Usama AliyuCollege of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar.
Salman M ToorCollege of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar.
Ibrahem AbdalhakamQatar Metabolic Institute, Hamad Medical Corporation (HMC), Doha, Qatar.
Mohamed A ElrayessBiomedical Research Center, QU Health, Qatar University, Doha, Qatar.
Abdul Badi Abou SamraQatar Metabolic Institute, Hamad Medical Corporation (HMC), Doha, Qatar.
Omar M E AlbaghaCollege of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Insulin resistance (IR) is involved in the pathogenesis of various metabolic disorders. Several surrogate indices of IR have been proposed. We assessed the performance of seven clinically relevant indirect measures of IR and estimated the prevalence of IR in a large population-based cohort. Methods: The study was conducted on fasting individuals from the Qatar biobank (QBB) participants ( Results: The cut-off for HOMA-IR was determined at 1.878, HOMA2-IR (insulin); 1.128, HOMA2-IR (C-peptide); 1.307, QUICKI; 0.347, TyG; 8.281, McAi; 7.727 and 1.718 for TG/HDL. All IR indices analyzed yielded AUC values ranging from 0.83 to 0.92. TyG was the most robust measure for IR (AUC = 0.92, Sensitivity = 0.90, Specificity = 0.79). The overall prevalence of IR in Qatar was estimated at ~51 - 65%. Conclusions: TyG index was the most robust index for determining IR in the Qatari population. The proposed cut-offs could serve as a reference in Middle Eastern populations for IR screening.

Indexed as

Biological Specimen BanksBiomarkersDiabetes Mellitus, Type 2Insulin ResistanceAdultAgedBlood GlucoseCohort StudiesFemaleHumansInsulinMaleMiddle AgedPrevalenceQatarBiomarkersBlood GlucoseInsulinHOMA-IRinsulin resistancepopulation studyTyG indextype 2 diabetes

Identifiers

PMID40421243
PMCPMC12104043

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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.