Dexamethasone alters sleep and fatigue in pediatric patients with acute lymphoblastic leukemia
Bibliographic record
Abstract
BACKGROUND: Dexamethasone improves the cure rate of childhood acute lymphoblastic leukemia (ALL) but causes physical and behavioral adverse events. The objective of the current study was to determine the effect of dexamethasone exposure on sleep and fatigue in pediatric patients with ALL. METHODS: One hundred pediatric patients with low-risk or standard-risk ALL were enrolled on 1 of 3 protocols (St. Jude Total XV, Children's Oncology Group [COG] 9904, or COG 9905) at 3 institutions. The mean age of the cohort was 9.24 +/- 3.23 years (range, 5.03-18.14 years). The majority of patients were white (79%) males (62%) with standard-risk ALL (63%). The cohort was divided into 4 subgroups: St. Jude low-risk, St. Jude standard-risk, COG low-risk, and COG standard-risk. Patients wore a wrist actigraph to monitor sleep activity during 2 consecutive 5-day periods: During the first period, they did not receive dexamethasone; and, during the second period, they did. Patients and their parents completed fatigue instruments on Days 2 and 5 of each period, and parents completed sleep diaries. RESULTS: Actual sleep minutes, sleep duration, total daily nap minutes, and fatigue increased significantly during the dexamethasone treatment for 3 to 4 of the subgroups. Total daily nap minutes increased significantly for both standard-risk groups during the dexamethasone treatment. Parents reported significant increases in their child's nighttime awakenings, restless sleep, and nap time during dexamethasone treatment. CONCLUSIONS: Dexamethasone treatment during continuation therapy for childhood ALL significantly and adversely altered sleep and fatigue, confirming that sleep and fatigue are behavioral responses to dexamethasone.
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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".