Evidence map›Paper›PMID 37975096›Full record

ArticleJournal of diabetes and metabolic disorders2023

Finnish diabetes risk score outperformed triglyceride-glucose index in diabetes risk prediction.

Anthony Chibuzor Nnamudi, Noghayin Jerry Orhue, Ifeoma Irene Ijeh, Amarachi Nene Nwabueze

Abstract read
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Article in Journal of diabetes and metabolic disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Anthony Chibuzor NnamudiDepartment of Biochemistry, Faculty of Basic Medical Sciences, PAMO University of Medical Sciences, Port Harcourt, Nigeria.ORCID 0000-0003-0791-5441
Noghayin Jerry OrhueDepartment of Biochemistry, Faculty of Life Sciences, University of Benin, Benin City, Nigeria.
Ifeoma Irene IjehDepartment of Biochemistry, College of Natural and Applied Sciences, Michael Okpara University of Agriculture, Umudike, Nigeria.
Amarachi Nene NwabuezeAfrican Centre of Excellence in Public Health and Toxicological Research (ACE-PUTOR), University of Port Harcourt, Port Harcourt, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Triglyceride-Glucose (TyG) index is a surrogate marker of insulin resistance. This study compared the performance of TyG index and the Finnish diabetes risk score (FINDRISC) in diabetes risk prediction. Methods: This cross-sectional study involved 122 young adults (aged 15-35 years) in Asaba, Delta State, Nigeria. Anthropometric measurements and biochemical analysis were done following standard protocols. Diabetes risk scoring was done using the FINDRISC questionnaire. TyG index was calculated logarithmically. Discrimination between TyG index and FINDRISC was done by plotting receiver operating characteristic (ROC) curves. Results: High risk participants had significantly (p < 0.001) higher mean values of body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR) relative to the lower risk categories. Participants in TyG index Quartile 4 had significantly higher mean values of triglyceride (p < 0.001) and fasting plasma glucose (p < 0.05). BMI and triglyceride had the most significant (p < 0.001) positive correlation with FINDRISC and TyG index, respectively. A moderately elevated to high risk (FINDRISC ≥ 12) of developing diabetes was found in 14.8% of the participants; with a female preponderance (20.6%) relative to males (7.4%). More than half of the participants (52.5%) had slightly elevated risk and differences in diabetes risk susceptibility were significant (p < 0.001) across gender. FINDRISC had an AUC value of 0.826 while TyG index had an AUC value of 0.628 for diabetes risk prediction. Conclusion: FINDRISC had a better performance than TyG index in the prediction of diabetes risk in this population. The use of other TyG-related parameters rather than TyG index is recommended in future studies. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-023-01252-y.

Indexed as

DiabetesFINDRISCPerformanceRisk predictionTyG index

Identifiers

PMID37975096
PMCPMC10638212

What Socratic holds

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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 Socratic graph.