ArticleBMJ open diabetes research & care2021
Lipid accumulation product (LAP) as a potential index to predict risk of insulin resistance in young, non-obese Asian Indian males from Southern India: observations from hyperinsulinemic-euglycemic clamp studies.
Article in BMJ open diabetes research & care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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24 citing papers in PubMed.
- Association between the triglyceride-glucose index and risk of type 2 diabetes mellitus and the mediating effect of BMI: a comparative analysis in Chinese and Japanese populations.Frontiers in endocrinology · 2026Article
- Novel anthropometric indices and cognitive function among iranian older adults: Bushehr Elderly Health (BEH) program.PloS one · 2026Article
- Insulin resistance in cerebral small vessel disease: a mini review.Frontiers in neuroscience · 2026Review
- Comparison of the association and discriminatory ability of CVAI, LAP, CI, and AVI for type 2 diabetes in Chinese adults aged ≥ 50 years: a sex-specific analysis.Frontiers in endocrinology · 2026Article
- Lipid accumulation product and cardiometabolic index as indicators for sarcopenia: A cross-sectional study from NHANES 2011-2018.Scientific reports · 2025Article
- Atherosclerosis and Insulin Resistance: Is There a Link Between Them?Biomedicines · 2025Review
- Anthropometric and metabolic parameters associated with visceral fat in non-obese type 2 diabetes individuals.Diabetology & metabolic syndrome · 2025Article
- Association between insulin resistance-related lipid indices and arthritis: a U. S. cross-sectional study.Frontiers in nutrition · 2025Article
- Cardiometabolic risk assessment by anthropometric and biochemical indices in mexican population.Frontiers in endocrinology · 2025Article
- The Relationship between Vitamin D, Inflammatory Markers, and Insulin Resistance in Children.Nutrients · 2024Article
- Association between lipid accumulation product index and chronic kidney disease: A systematic review and meta-analysis.Experimental and therapeutic medicine · 2024Article
- Optimal obesity- and lipid-related indices for predicting type 2 diabetes in middle-aged and elderly Chinese.Scientific reports · 2024Article
- The Lipid Accumulation Product Index (LAP) and the Cardiometabolic Index (CMI) Are Useful for Predicting the Presence and Severity of Metabolic Syndrome in Adult Patients with Obesity.Journal of clinical medicine · 2024Article
- Triglyceride glucose-related indexes and lipid accumulation products-reliable markers of insulin resistance in the Chinese population.Frontiers in nutrition · 2024Article
- Understanding the predictive accuracy of the InsuTAG index over other surrogate indices in normoglycaemic, non-obese males from Southern India.Scientific reports · 2023Article
- Sex Difference in the Associations among Obesity-Related Indices with Hyperuricemia in a Large Taiwanese Population Study.Nutrients · 2023Article
- Predicting depressive symptom by cardiometabolic indicators in mid-aged and older adults in China: a population-based cross-sectional study.Frontiers in psychiatry · 2023Article
- Obesity- and lipid-related indices as a predictor of type 2 diabetes in a national cohort study.Frontiers in endocrinology · 2023Article
- Relationship Between Six Insulin Resistance Surrogates and Nonalcoholic Fatty Liver Disease Among Older Adults: A Cross-Sectional Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023Article
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7 authors.
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Abstract
introductionWe aimed to compare the predictive accuracy of surrogate indices namely the lipid accumulation product (LAP) index, homeostatic model of assessment of insulin resistance (HOMA-IR), fasting glucose-insulin ratio (FG-IR) and the quantitative-insulin sensitivity check index (QUICKI), against the RESEARCH DESIGN AND
methodsData of HEC studies performed in 108 non-obese, normoglycemic, Asian Indian males was obtained retrospectively and the
resultsSignificant negative correlation was observed for the
conclusionThe LAP index showed higher predictive accuracy for the risk of insulin resistance as compared with HOMA-IR, QUICKI and FG-IR in non-obese, normoglycemic Asian Indian males from Southern India.
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