Chemotherapy-Related Fatigue in Childhood Cancer: Correlates, Consequences, and Coping Strategies
Bibliographic record
Abstract
The aim of this research is to examine the experience and impact of chemotherapy-related fatigue in recently diagnosed pediatric oncology patients. A repeated-measures, within-subjects, mixed (quantitative plus qualitative) design was used to prospectively assess fatigue during early chemotherapy cycles and to compare fatigue to depressive symptoms. Parental interviews collected concurrently were analyzed for descriptions of the child's fatigue and mood states and for strategies to cope with fatigue. Results indicated a significant correlation between fatigue and depression, but qualitative analyses suggested that the 2 phenomena may be unique and distinguishable. Qualitative analyses of parent interviews also identified specific strategies that were frequently used in response to high levels of fatigue. The findings illustrate the significant impact of chemotherapy-related fatigue in children being treated for cancer. The study also provides guidance for the assessment of fatigue and related symptoms and identifies specific strategies for coping with fatigue.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".