The relationship between depression and physical symptom burden in advanced cancer
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Although an association between depression and physical burden has been demonstrated in advanced cancer, it remains unclear to what extent this is limited to specific physical symptoms, such as pain and fatigue, and is mediated by disease and treatment-related factors. We therefore investigated the relationship between depression and physical burden across a multitude of physical symptoms in this population, while controlling for cancer-related factors including disease severity and proximity to death. PATIENTS AND METHODS: A secondary analysis was performed on cross-sectional data in 487 patients with advanced cancer. Measures included the Beck Depression Inventory II and the Memorial Symptom Assessment Scale, which measured physical burden across 24 common cancer symptoms. Disease severity was assessed by survival time and by functional status using the Karnofsky Performance Status scale. RESULTS: Depression severity significantly correlated with number of physical symptoms, symptom distress and symptom severity independent of cancer type, functional status, chemotherapy status and survival time (all p<0.001). Depression was associated with increased incidence, severity and distress across multiple physical symptoms and was an independent predictor of physical burden on multiple regression analysis. CONCLUSIONS: These findings support the view that a synergistic relationship exists between depression and a broad array of physical symptoms in patients with advanced cancer.
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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) | 0.000 | 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 it