Stability of Symptom Clusters in Children With Acute Lymphoblastic Leukemia Undergoing Chemotherapy
Bibliographic record
Abstract
BACKGROUND: Children with acute lymphoblastic leukemia (ALL) experience multiple symptoms during chemotherapy. Assessing how symptoms cluster together and how these symptom clusters (SCs) change over time may lay a foundation for future research in SC management and the pathophysiological mechanisms of SCs. OBJECTIVES: This study aimed to assess the stability of SCs in children with ALL during chemotherapy. METHODS: A longitudinal investigation was carried out. The Chinese version of the Memorial Symptom Assessment Scale 10 to 18 was used to assess the occurrence, severity, and distress of symptoms in 134 children with ALL (8-16 years old) at the following 4 separate points: before chemotherapy (T1), start of post-induction therapy (T2), 4 months post-induction therapy (T3), and start of maintenance therapy (T4). Exploratory factor analyses were used to extract SCs. RESULTS: Six SCs were identified. Emotional and somatic clusters were identified across all dimensions and time points. Gastrointestinal cluster was all identified except for occurrence at T1. Neurological cluster was identified at T2 and T3 for all dimensions and at T4 for severity and distress. Self-image disorder cluster was all identified except at T1. Skin mucosa cluster was identified at T2 and T3 for all dimensions. Emotional cluster exhibited common symptoms across dimensions and time points. CONCLUSION: The number and types of SCs determined by scoring the occurrence, severity, and distress are different, but some SCs are relatively stable. IMPLICATIONS FOR PRACTICE: Clinicians should not only focus on the common trajectory of symptoms and SCs, but also assess each child individually.
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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 | 0.001 |
| 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) | 0.000 | 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".