ArticleTurkish journal of medical sciences2025
Investigation of the relationship between the triglyceride-glucose index and metabolic and hematological parameters in obese individuals.
Article in Turkish journal of medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
What it found
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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.
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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.
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Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- The association between the triglyceride-glucose index and diabetic peripheral neuropathy: a systematic review and meta-analysis.Frontiers in endocrinology · 2026Pooled it
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background/aim: This research examined the association between the triglyceride-glucose (TyG) index and metabolic, hepatic, and hematologic variables in a population of severely obese subjects, with a focus on the assessment of glycemic control. Materials and methods: This retrospective study included 315 adult patients with a body mass index (BMI) ≥ 35 kg/m Results: Individuals with HbA1c ≥ 6.5% had significantly higher TyG, AIP, APRI, and FIB-4 values than those with lower HbA1c. The TyG index showed a strong correlation with both HbA1c (r = 0.403, p < 0.001) and AIP (r = 0.866, p < 0.001), and was identified as an independent predictor of HbA1c, explaining 20.5% of its variance. Moderate correlations were also found between liver fibrosis scores and systemic inflammatory indices. No significant differences were observed in hematologic markers across HbA1c groups, suggesting a closer link between inflammation and obesity rather than glycemic status. Conclusion: The TyG index may serve as a practical and accessible marker for metabolic risk and glycemic control in obese individuals. Its integration with other noninvasive indices like AIP, APRI, and FIB-4 may support a more comprehensive evaluation of cardiometabolic and hepatic risk profiles in clinical settings.
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