Abdominal Obesity, Liver Fat, and Muscle Composition in Survivors of Childhood Acute Lymphoblastic Leukemia
Bibliographic record
Abstract
CONTEXT: Survivors of childhood acute lymphoblastic leukemia (ALL) become obese, and are at increased risk for morbidity and mortality post therapy. OBJECTIVE: We determined the association of cranial radiotherapy (CRT) and/or sex with levels of total, regional, and ectopic fat storage, metabolic risk, IGF-I, and leptin in adult ALL survivors. DESIGN, SETTING, PATIENTS: A cross-sectional analysis of 52 male (15 CRT treated) and 62 female (24 CRT treated) young adult ALL survivors was conducted. MAIN OUTCOMES: We assessed levels of visceral fat, sc abdominal and thigh fat, and liver and muscle fat using computed tomography, total fat and lean body mass using dual-energy x-ray absorptiometry, and IGF-I and leptin levels by radioimmunoassay. RESULTS: Controlled for age and race, ALL survivors treated with CRT had higher levels of abdominal and visceral fat, body fat percentage, metabolic risk (insulin resistance and dyslipidemia), and leptin but lower lean mass and IGF-I levels than non-CRT survivors (P </= 0.05 for each). Levels of IGF-I were inversely associated with total, abdominal, and visceral fat in both sexes (P < 0.05 for each). Female ALL survivors had less lean mass and visceral fat but higher total and sc abdominal fat than males (P < 0.05 for each). Neither sex nor CRT was associated with muscle and/or liver fat content (P > 0.1). CONCLUSION: Among young adult ALL survivors, CRT is a risk factor for elevated total, abdominal, and visceral adiposity, a reduced fat-free mass, elevated metabolic risk, and altered IGF-I and leptin levels.
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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 | 0.000 | 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) | 0.001 | 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".