ArticleDiabetes2025
One-Hour Postload Glucose Is a More Sensitive Marker of Impaired β-Cell Function Than Two-Hour Postload Glucose.
Article in Diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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Who cites it
11 citing papers in PubMed.
- Impact of iGlarLixi on Glycaemic Control Depth and Variability in Asian Pacific People With Type 2 Diabetes: A Post Hoc Analysis of LixiLan-O-AP and LixiLan-L-CN.Diabetes, obesity & metabolism · 2026Trial
- Sleep-Aligned Extended Overnight Fasting Improves Nighttime and Daytime Cardiometabolic Function.Arteriosclerosis, thrombosis, and vascular biology · 2026Trial
- Feasibility of using OGTT 1-h PG as a diagnostic criterion for diabetes and pre-diabetes.BMJ open diabetes research & care · 2026Article
- Redefining β-Cell Function in Type 2 Diabetes Mellitus: From Comprehensive Assessment to Precision Medicine.Diabetes & metabolism journal · 2026Review
- One-Hour Post-Load Glucose Is Associated with Multisystem Complications in People Living with Obesity.Biomolecules · 2026Observational
- Diagnostic performance of 1-hour plasma glucose and glucose curve shape during oral glucose tolerance test: a cross-sectional study in a Brazilian cohort.Diabetology & metabolic syndrome · 2025Article
- A Snapshot of Cardiometabolic Health in Young Adults without Obesity Reveals High Rates of Dysglycemia.Diabetes & metabolism journal · 2025Article
- Elevated 1 h post-load plasma glucose associates with decreased serum lipoprotein lipase in youth and decreased leg fat mass in midlife.Scientific reports · 2025Article
- Fasting plasma glucose outperformed 1-hour plasma glucose in predicting diabetes incidence in individuals with family history of young-onset type 2 diabetes.BMJ open diabetes research & care · 2025Article
- 1-hour post-load plasma glucose: a reliable marker of insulin resistance in type 2 diabetes, as determined by the TyG index.Frontiers in endocrinology · 2025Article
- A novel biomarker Ins60/ApoA for predicting diabetic kidney disease in newly diagnosed type 2 diabetes: a pilot study.Frontiers in medicine · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
There is evidence that 1-h plasma glucose (PG) concentration during the 75-g oral glucose tolerance test (OGTT) is superior to 2-h PG level in predicting diabetes. We investigated the characteristics of insulin sensitivity and β-cell function behind this observation. After age, sex, and BMI matching, 496 study participants selected from 3,965 individuals without diabetes who were at high risk of type 2 diabetes in a tertiary medical center were categorized into four groups in a 1:1:1:1 ratio based on OGTT results: 1) 1-h PG level <8.6 mmol/L and 2-h PG level <7.8 mmol/L (normal glucose tolerance [NGT]/1h-normal); 2) 1-h PG level ≥8.6 mmol/L and 2-h level <7.8 mmol/L (NGT/1h-high); 3) 1-h PG level <8.6 mmol/L and 2-h level ≥7.8 mmol/L (impaired glucose tolerance [IGT]/1h-normal); and 4) 1 h PG level ≥8.6 mmol/L and 2-h level ≥7.8 mmol/L. Compared with participants with IGT/1h-normal, those with NGT/1h-high had a similar extent of insulin resistance but lower early-phase insulin secretion. Additionally, participants with NGT/1h-high had a lower disposition index at both 0-30 min and 0-120 min than those with IGT/1h-normal. The fitted regression line relating PG to log-transformed disposition index (0-30 min and 0-120 min) was significantly steeper for 1-h than 2-h PG. In conclusion, 1-h PG seemed to be more sensitive to the deterioration in β-cell function than was 2-h PG. The use of 1-h PG may identify individuals at high risk of type 2 diabetes at an earlier stage. ARTICLE HIGHLIGHTS:
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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.