Symptom Screening in Pediatrics Tool in children and adolescents with high-risk malignancies: a pilot study
Bibliographic record
Abstract
OBJECTIVE: Childhood and adolescent cancer can result in high burden of distressing symptoms, particularly in high-risk malignancies. The Symptom Screening in Pediatrics Tool (SSPedi) is a reliable and valid approach to measure bothersome symptoms in paediatric patients receiving cancer treatments. Objective was to describe the feasibility of using SSPedi administration among paediatric patients with high-risk malignancies. METHODS: We conducted a single-centre, cross-sectional study of patients aged 8-18 years with high-risk malignancies in a French paediatric oncology unit. Patients self-reported the degree of bothersome symptoms using SSPedi and difficulty with SSPedi completion. The total SSPedi Score ranging from 0 to 60 (where 60 is worst) and most common moderately bothersome symptoms (scored ≥2 on 0-4 Likert Scale) were described. Feasibility was defined as more than 75% of patients agreeing to participate and more than 90% completion of SSPedi questionnaire. RESULTS: Out of 16 patients approached, 1 declined participation. Median age was 13 years (IQR 8-19). All were able to self-report SSPedi without difficulty. Patients experienced a median number of 6 (range 0-15) bothersome symptoms (score >0). The mean total SSPedi Score was 12 (SD=9.4). Most common moderately bothersome symptoms were pain (8/15), changes in hunger (8/15) and feeling tired (7/15). CONCLUSION: Patient-reported symptom assessment among children and adolescents with high-risk malignancies is feasible using SSPedi. These patients experience a high burden of bothersome symptoms.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".