Patients with advanced cancer and depression report a significantly higher symptom burden than non-depressed patients
Bibliographic record
Abstract
OBJECTIVE: Clinical observations indicate that patients with advanced cancer and depression report higher symptom burden than nondepressed patients. This is rarely examined empirically. Study aim was to investigate the association between self-reported depression disorder (DD) and symptoms in patients with advanced cancer controlled for prognostic factors. METHOD: The sample included 935 patients, mean age 62, 52% males, from an international multicentre observational study (European Palliative Care Research Collaborative - Computerised Symptom Assessment and Classification of Pain, Depression and Physical Function). DD was assessed by the Patient Health Questionnaire-9 and scored with Diagnostic and Statistical Manual of Mental Disorder-5 algorithm for major depressive disorder, excluding somatic symptoms. Symptom burden was assessed by summing scores on somatic Edmonton Symptom Assessment Scale (ESAS) symptoms, excluding depression, anxiety, and well-being. Item-by-item scores and symptom burden of those with and without DD were compared using nonparametric Mann-Whitney U tests. The relative importance of sociodemographic, medical, and prognostic factors and DD in predicting symptom burden was assessed by hierarchical, multiple regression analyses. RESULT: Patients with DD reported significantly higher scores on ESAS items and a twofold higher symptom burden compared with those without. Factors associated with higher symptom burden were as follows. Diagnosis: lung (β = 0.15, p < 0.001) or breast cancer (β = 0.08, p < 0.05); poorer prognosis: high C-reactive protein (β = 0.08, p < 0.05), lower Karnofsky Performance Status (β = -0.14, p < 0.001), and greater weight loss (β = -0.15, p < 0.001); taking opioids (β = 0.11, p < 0.01); and having DD (β = 0.23, p < 0.001). The full model explained 18% of the variance in symptom burden. DD explained 4.4% over and above that explained by all the other variables. SIGNIFICANCE OF RESULTS: Depression in patients with advanced cancer is associated with higher symptom burden. These results encourage improved routines for identifying and treating those suffering from depression.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| 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) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".