COULD PLASMA GLUCOSE (PG) INCREMENT (PG %) EXPAND THE CLINICAL WEIGHT OF OGTT? PRELIMINARY FINDINGS IN 19 TDT PATIENTS (Β-TDT) WITH NORMAL GLUCOSE TOLERANCE
Bibliographic record
Abstract
Background: Worldwide, glucose dysregulation (GD) and diabetes mellitus are common complications in transfusion-dependent β-thalassemia (β-TDT) patients. Impaired insulin sensitivity and insulin secretion are both involved in the deterioration of glucose tolerance from a normal to a glucose-intolerant state. Objective: The main aim of the present study was to evaluate the plasma glucose (PG) increment (PG %) retrospectively at two h during oral glucose tolerance test (OGTT) over fasting plasma (FPG) concentration as a simple parameter to recognize early β-cell dysfunction in normoglycemic β-TDT patients with NGT and different severities of iron overload (IOL). Patients and Methods: A total of 19 β-TDT young adult patients with normal OGTT were re-evaluated according to the American Diabetes Association (ADA) guidelines. Venous blood samples were collected at baseline and at 30, 60, and 120 minutes to determine PG (mg/dL) and insulin concentrations (μIU/mL). The time required for the PG concentration to return to the fasting level was calculated by computing the percentage increment of 2-h PG with respect to FPG (PG%), using the formula [(2-h PG-FPG)/FPG]x 100. The early phase of insulin secretion (IGI) and sensitivity were assessed by validated surrogate indices calculated from parameters obtained during the four-point OGTT. Results: The mean age of patients was 30.3 ± 5.7 (range: 23.10-44.3). The mean ± SD, median, and range of PG% increment between 2 h-PG and FPG were 35.5 ± 20.2, 38.7, and 0 - 68.2 mg/dL, respectively. The PG% increment was negatively correlated to the patient's age, FPG, and IGI, and positively correlated with 2-h PG post-glucose load. IGI was negatively correlated with 1-h and 2-h PG after post-glucose load and positively correlated with oral disposition index (oDI). Conclusions: The PG% increment is a simple, useful screening parameter that can expand the clinical weight of OGTT and can provide valuable metabolic information on β-cell dysfunction.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".