POST-LOAD PLASMA GLUCOSE INCREASE (PG-GAP) AS A RISK FACTOR FOR DEVELOPING DYSGLYCEMIA IN PATIENTS WITH TRANSFUSION-DEPENDENT Β-THALASSEMIA (Β-TDT): RETROSPECTIVE ANALYSIS OVER 8 YEARS
Bibliographic record
Abstract
Background: Abnormal glucose homeostasis in transfusion-dependent β-thalassemia (β-TDT) patients requires early detection and intervention. However, current diagnostic criteria for patients with a normal oral glucose tolerance test (OGTT) may fail to detect a significant proportion of high-risk individuals. Objectives: The main objective of this study was to evaluate in β-TDT patients with normal fasting plasma glucose (FPG) and glucose tolerance (NGT), the plasma glucose (PG) incremental rise gap during OGTT, defined as the difference between 2h-PG and FPG (PG-gap), as an early predictor index associated with future risk of developing dysglycemia and thalassemia-related diabetes mellitus (Th-RDM). Research design patients and methods: percentile (≥ 30 mg/d) Group C. Results: : 4.8214; P=0.028). Three patients in group C ("High post-load gap") developed Th-RDM. At the last evaluation, the serum ferritin (SF) level was < 800 μg/L in 13/45 (28.8%) patients, between ≥ 800 μg/L and < 1,500 μg/L in 17/45 (37.7%) patients, between ≥ 1,500 μg/L and < 3,000 μg/L in 14/45 (31,1%) patients, and ≥ 3,000 μg/L in 1/45 (2.3%) patients. Multiple linear regression was used to determine the variables contributing to the 2h-PG at the last follow-up. Only two variables, SF and age, were significantly associated with 2h-PG at last follow-up (t-stat: 2.3941; P=0.0203 and t-stat: 2.0918; P=0.0414, respectively). The other variables [BMI, pre-transfusional hemoglobin level, serum alanine aminotransferase (ALT), and positive family history for diabetes type 1 or 2 did not contribute significantly. Conclusions: percentile or ≥ 30 mg/dL) is associated with a progressively increasing risk of glucose dysregulation over the next 6 to 8 years. These findings underscore the importance of a personalized approach to assessing the risk of early glucose metabolic disorders in β-TDT patients who are typically classified as normoglycemic.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".