Neurobehavioral side effects of corticosteroids during active treatment for acute lymphoblastic leukemia in children are age‐dependent: Report from Dana‐Farber Cancer Institute ALL Consortium Protocol 00‐01
Bibliographic record
Abstract
BACKGROUND: Although corticosteroids remain a mainstay of treatment for acute lymphoblastic leukemia (ALL), they can cause troublesome neurobehavioral changes during active treatment, especially in young children. We evaluated acute neurobehavioral side effects of corticosteroid therapy in preschool versus school-age children by obtaining structured reports weekly for 1 month. PROCEDURE: Parents of 62 children (2-17 years) treated on Dana-Farber Cancer Institute (DFCI) ALL Consortium Protocol 00-01 participated during the continuation phase of treatment. Patients received cyclical twice-daily 5-day courses of prednisone (PRED; 40 mg/m(2) /day) or dexamethasone (DEX; 6 mg/m(2) /day). Parents completed behavior rating scales about their child weekly during one steroid cycle [baseline (Day 0), active steroid (Day 7), post-steroid (Days 14 and 21)]. RESULTS: Behavioral side effects increased significantly (P < 0.001) during the steroid week for preschool children (<6 years) on measures of emotional control, mood, behavior regulation, and executive functions, returning to baseline during the two "off-steroid" weeks. In contrast, school-age children (≥ 6 years) did not demonstrate an increase in side effects during the steroid week. Steroid type (PRED vs. DEX) was not a significant predictor of neurobehavioral side effects. CONCLUSIONS: Preschool children are at greater risk for neurobehavioral side effects during active steroid treatment for ALL than school-age children and adolescents. DEX was not associated with more neurobehavioral side effects than PRED. Counseling of families about side-effects should be adapted according to age. The observed effects, moreover, were transient, reducing concerns about longer-term neurobehavioral toxicities.
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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 | 0.003 | 0.004 |
| 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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".