Pain Catastrophizing in Cancer Patients
Bibliographic record
Abstract
Background: Pain catastrophizing is a group of negative irrational cognitions in the context of anticipated or actual pain. The aim of this study was to decipher the possible role of catastrophism on pain expression and outcomes after a comprehensive palliative care treatment. Methods: A consecutive sample of patients with uncontrolled pain was assessed. Demographic characteristics, symptom intensity included in the Edmonton symptom assessment system (ESAS), and opioid drugs used were recorded at admission (T0). The Pain Catastrophizing Scale (PCS) was measured for patients. Patients were also asked about their personalized symptom goal (PSG) for each symptom of ESAS. One week after a comprehensive palliative care treatment (T7), ESAS and opioid doses used were recorded again, and the number of patients who achieved their PSG (PSGR) were calculated. At the same interval (T7), Minimal Clinically Important Difference (MCID) was calculated using patient global impression (PGI). Results: Ninety-five patients were eligible. A significant decrease in symptom intensity was reported for all ESAS items. PGI was positive for all symptoms, with higher values for pain, poor well-being, and poor sleep. Only the rumination subscale of catastrophism was significantly associated with pain at T0 (B = 0.540; p = 0.034). Conclusions: Catastrophism was not associated with the levels of pain intensity, PSG, PSGR, and PGI for pain, except the rumination subscale that was associated with pain intensity at T0. A comprehensive palliative care management provided the relevant changes in symptom burden, undoing the pain expression associated with rumination.
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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) | 0.000 | 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 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".