ArticlePakistan journal of medical sciences2025
Predictive value of triglyceride glucose index and systemic inflammation index for diabetic retinopathy in Type-2 diabetes.
Article in Pakistan 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 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The triglyceride-glucose index as a biomarker of diabetic retinopathy: a systematic review and meta-analysis.Frontiers in medicine · 2025Pooled it
- Neutrophil-Linked Inflammatory Mechanisms and Biomarkers in Diabetic Microvascular Complications.Diabetes & metabolism journal · 2026Review
- Combined predictive value of TyG index and PLR for mental health in Chinese adults: A machine learning approach.PloS one · 2026Article
- Combined with the insulin resistance index in assessing subclinical systolic function in newly diagnosed type 2 diabetes mellitus: an analysis based on automated functional imaging echocardiography.BMC endocrine disorders · 2025Article
- The cholesterol-HDL-glucose (CHG) index and traditional adiposity markers in predicting diabetic retinopathy and nephropathy.Journal of diabetes investigation · 2025Article
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Authors and funding
5 authors.
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Abstract
Objective: To explore the predictive efficacy of the triglyceride glucose (TyG) index and systemic immune inflammation index (SII) levels for diabetic retinopathy (DR) in patients with Type-2 diabetes mellitus (T2DM). Methods: A retrospective study was conducted on 200 T2DM patients admitted to the Ophthalmology Department at Baoding No.1 Central Hospital from June 2023 to December 2023. The patients were divided into 80 none-DR, 120 with DR. General information, biochemical tests, TyG index, and SII were collected. Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive ability of TyG index and SII for DR. Binary logistic regression was employed to assess the relationship between DR occurrence and TyG index and SII. Results: The mean TyG index and SII levels were higher in the DR group compared to none-DR group (P<0.05). The ROC curve analysis indicated that the combination of TyG index and SII had the highest area under the curve (AUC) at 0.912, surpassing the AUC of TyG index and SII individually. Binary logistic regression analysis demonstrated that TyG index and SII were independent predictors of DR occurrence in diabetic patients (OR=1.745, 95%CI: 1.213-2.547, Conclusion: TyG index and SII levels may predict the occurrence of DR in T2DM patients, and the combination of these two indices offers the best predictive efficacy for DR.
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