Medication-induced diabetes during induction treatment for ALL, an early marker for future metabolic risk?
Why this work is in the frame
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Bibliographic record
Abstract
Medication-induced diabetes (MID) is seen in children treated for acute lymphoblastic leukemia (ALL) mostly during induction, due to the use of l-asparaginase and glucocorticoids. Our objective was to assess whether MID during induction, is a risk factor for future impaired glucose tolerance (IGT), diabetes, or metabolic syndrome. Ninety survivors of pediatric ALL, ages 10 yr and older were recruited, 30 with history of MID and 60 controls. Waist/height ratio >0.5 was considered as an increased risk for central adiposity and insulin resistance. Lipid profile and an oral glucose tolerance test (OGTT) were performed. Study patients were older than controls (17.2 vs. 14.9, p < 0.05). The groups had similar sex distribution, body mass index (BMI) z-score, and Tanner staging. A waist/height ratio of >0.5 was seen in 60 and 31.7% of the study and control groups, respectively (p = 0.01). Increased frequency of IGT in the study group compared with the control group was seen (13.3 and 1%, respectively) (p = 0.07). We observed a trend toward higher proportion of patients with multiple features of metabolic syndrome in the study compared with control group (16.7 vs. 5%, p = 0.09). In conclusion, MID during induction may be an early marker for metabolic disturbances later in life. The higher rates of increased waist/height ratio, and subjects with multiple metabolic syndrome features, may predict a metabolic risk in children with history of MID. Rates of IGT were four fold higher in the study group although not statistically significant. MID may be a 'red flag' indicating the need for ongoing metabolic screening and lifestyle modifications to prevent future metabolic disease.
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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 | 0.001 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it