Neuropsychological late effects of treatment for acute leukemia in children with Down syndrome
Bibliographic record
Abstract
BACKGROUND: Children with Down syndrome (DS) have an elevated risk of developing acute leukemia, but little is known about treatment-related neuropsychological morbidity because they are systematically excluded from research in this area. The current study investigated neuropsychological outcomes in children with DS treated for acute lymphoblastic leukemia (ALL) or acute myeloid leukemia (AML) compared to children with DS with no history of cancer. PROCEDURE: Participants were 4 to 17 years of age at testing and were administered measures of intelligence, academic achievement, language, visual-motor and fine-motor skills, and adaptive function. Patients had been off treatment for at least 2 years. RESULTS: The AML group (N = 12) had significantly lower verbal intelligence and receptive vocabulary compared to controls (N = 21). By contrast, the ALL group (N = 14) performed significantly worse than controls on measures of verbal intelligence, spelling, receptive and expressive vocabulary, visual-motor skills, and adaptive function. CONCLUSIONS: Patients with DS treated for AML may have specific post-treatment morbidity in verbal function, whereas those treated for ALL have broader morbidity affecting multiple neuropsychological domains and overall adaptive function. We hypothesize that the broader impairment profile of ALL survivors may be related to a combination of the longer duration of central nervous system-directed treatment for ALL compared to AML and the concomitant limited access to intervention opportunities during active treatment.
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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 | 0.000 |
| 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 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".