Evidence map›Paper›PMID 41804444›Full record

ArticleCureus2026

Diagnostic Performance of Triglyceride/High-Density Lipoprotein Cholesterol (TG/HDL-C) Ratio in Detecting Insulin Resistance Among Obese Children and Adolescents.

Semra Bahar Akin

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

1 author.

Semra Bahar AkinPediatric Endocrinology, Derince Training and Research Hospital, Kocaeli, TUR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background We evaluated the diagnostic performance of the triglyceride/high-density lipoprotein cholesterol (TG/HDL-C) ratio for detecting insulin resistance (IR) in obese children and adolescents using sex- and puberty-specific homeostasis model assessment for insulin resistance (HOMA-IR) cutoffs. Methods This retrospective cross-sectional study included 207 obese patients (5-18 years old; 127 girls and 80 boys) assessed at a tertiary pediatric endocrinology clinic. IR was defined using sex-specific and pubertal stage-specific HOMA-IR thresholds. Anthropometric data and fasting glucose, insulin, lipid profile, glycated hemoglobin (HbA1c), and thyroid-stimulating hormone (TSH) were recorded. Receiver operating characteristic (ROC) analysis evaluated the TG/HDL-C ratio for IR discrimination. Results Compared with the IR-negative group, IR-positive participants had higher weight, body mass index (BMI) (and standard deviation score {SDS}), TG/HDL-C ratio, fasting insulin, HOMA-IR, HbA1c, fasting glucose, triglycerides, and TSH (all p<0.05). The best threshold for TG/HDL-C to identify IR was around 1.7 (area under the curve {AUC}=0.601; p=0.019), with sensitivity and specificity of 71.2% and 55.1%, respectively. Diagnostic accuracy was consistent across sex and pubertal groups. Conclusions The TG/HDL-C ratio demonstrates moderate diagnostic performance in detecting insulin resistance in obese children and adolescents, and this performance is independent of pubertal status or sex. In clinical settings, such as primary care, where insulin measurement and HOMA-IR calculation are not feasible, the TG/HDL-C ratio can be used as an independent marker. However, when insulin measurements are possible, this ratio should be considered a supportive marker alongside HOMA-IR. Additional investigations should assess the potential of this ratio to enhance diagnostic accuracy in multivariate analysis.

Indexed as

adolescentchildhigh-density lipoprotein cholesterolinsulin resistanceobesitytriglycerides

Identifiers

PMID41804444
PMCPMC12967794

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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.