Symptom clusters using the EORTC QLQ-C15-PAL in palliative radiotherapy
Bibliographic record
Abstract
BACKGROUND: Patients with advanced cancer often experience a multitude of symptoms. Due to the potential interrelation of symptoms, symptom clusters of 2 or more concurrent symptoms have been advocated for use in the palliative setting to provide better management of symptoms. METHODS: The principal component analysis (PCA), exploratory factor analysis (EFA) and hierarchal cluster analysis (HCA) were conducted on responses to items 1-14 in the European Organisation for Research and Treatment of Cancer Quality of Life-C15-Palliative (EORTC QLQ-C15-PAL) at baseline and days 5 and 10 following RT. RESULTS: There was complete data for 109, 90 and 87 patients at baseline, day 5 and day 10 respectively. The average age was 72 years. The most common site of primary was the prostate (36.7%), and almost all patients presented with bone metastases (95.4%). Analyses identified 2-4 clusters at each interval. From baseline to day 10 follow-up, across all analyses, items associated with physical functioning clustered consistently with shortness of breath. Pain and pain interference clustered with nausea at baseline; and with sleep at both follow-up intervals. Cronbach's alpha values for the clusters ranged from 0.53 to 0.90. CONCLUSIONS: Fluctuation of symptom clusters was observed in a short time frame following palliative RT. Although clusters were dynamic, several items tended to cluster together. Further research is required to validate these clusters.
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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 | 0.000 |
| 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 | 0.001 |
| 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 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".