Predictors of Symptom Severity and Response in Patients With Metastatic Cancer
Bibliographic record
Abstract
We examined determinants of symptom severity and response to treatment among 150 patients with cancer participating in a phase II trial of a palliative care team intervention. Patients completed a modified Edmonton Symptom Assessment Scale (ESAS) at baseline and 1 week. Women had a worse baseline ESAS Distress Score (EDS; P = .003) and Total Distress Score (TDS; P = .005); differences were particularly marked for anxiety and appetite. Performance status was inversely associated with EDS, TDS, well-being, appetite, and fatigue (Kruskal-Wallis, all P < .005). Multivariate analysis of covariance (ANCOVA) showed that symptom improvement was independently predicted by worse baseline EDS score and female gender. Performance status, gender, and baseline symptom severity should be accounted for in trials of palliative care interventions; inclusion criteria based on symptom severity should also be considered.
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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 | 0.000 |
| 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) | 0.000 | 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".