Evidence map›Paper›PMID 39569998›Full record

ArticleJournal of diabetes investigation2025

A novel index for diagnosis of type 2 diabetes mellitus: Cholesterol, High density lipoprotein, and Glucose (CHG) index.

Amin Mansoori, Mina Nosrati, Mohsen Dorchin, Fatemeh Mohammadyari, Elahe Derakhshan-Nezhad, Gordon Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

Abstract read
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Article in Journal of diabetes investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing 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

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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

80 citing papers in PubMed.

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20 more citing papers are in PubMed but not listed here.

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

8 authors.

Amin MansooriDepartment of Applied Mathematics, Ferdowsi University of Mashhad, Mashhad, Iran.
Mina NosratiInternational UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.
Mohsen DorchinDepartment of Nutrition, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Fatemeh MohammadyariSchool of Medicine, Guilan University of Medical Sciences, Rasht, Iran.
Elahe Derakhshan-NezhadStudent Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran.
Gordon FernsDivision of Medical Education, Brighton and Sussex Medical School, Brighton, UK.
Habibollah EsmailyDepartment of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID https://orcid.org/0000-0003-4139-546X
Majid Ghayour-MobarhanDepartment of Nutrition, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID https://orcid.org/0000-0002-1081-6754

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGold standard methods of type 2 diabetes mellitus are expensive and therefore not practical for large scale studies in low-income countries. We have investigated the total cholesterol, high density lipoprotein (HDL), and glucose (CHG) index for diagnosis of type 2 diabetes mellitus index which is derived from fasting state. In this study we aimed to compare the accuracy of with CHG index and triglycerides (TG) and glucose levels (TyG) as surrogates of type 2 diabetes mellitus.

methodsA total of 9,704 individuals between 35 and 65 years of age were recruited as part of the Mashhad stroke and heart atherosclerotic disorder (MASHAD) study. They were categorized into two groups, those with and without type 2 diabetes mellitus. The cut-off in groups to detection of type 2 diabetes mellitus was fasting blood glucose ≥126 mg/dL in blood sample. Receiver operating characteristic (ROC) curve analysis was used to establish the cut-off of indices to evaluate the sensitivity and specificity of them.

resultsThe best cut-off of CHG index for diagnosis of type 2 diabetes mellitus was 5.57 which was associated with a sensitivity of 70.38% and specificity of 89.82% values. This was in comparison to the TyG index. LR+ CHG index was 6.91 compared to 3.47 for the TyG index and the AUC of CHG index was 0.864 (0.857, 0.871) compared with 0.825 (0.818, 0.833) for the TyG index. This indicates that the CHG index has a higher efficiency value to diagnose of type 2 diabetes mellitus.

conclusionsThe CHG index could be useful for the detection of type 2 diabetes mellitus.

Indexed as

BiomarkersBlood GlucoseCholesterolDiabetes Mellitus, Type 2Lipoproteins, HDLAdultAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisROC CurveTriglyceridesBiomarkersBlood GlucoseCholesterolLipoproteins, HDLTriglyceridesCHG indexTyG indexType 2 Diabetes Mellitus

Identifiers

PMID39569998
PMCPMC11786182

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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.