Psicooncología en cáncer avanzado. Terapia CALM, una intervención canadiense
Bibliographic record
Abstract
Advanced cancer is associated with numerous challenges including progressive physical deterioration that triggers fears regarding dependence and loss of autonomy, mortality and meaning of life.The continuous increase in survival in oncology patients has led them to live in a process of adaptation and continuous changes, which carries a great emotional burden for both the patient and his or her family.Many terminal cancer patients meet criteria for a psychiatric diagnosis or sign distress, with depressive symptoms being very frequent.This makes us think of the imperative need for appropriate interventions for people in this situation, where existential issues, restructuring of purpose, interpersonal relationships, meaning of life and the process of dying and death play a fundamental role.The aim of this work is to describe a Canadian experience of a brief individual psychological therapy called Managing Cancer and Living Meaningfully (CALM), which was developed and evaluated over the last 10 years in Toronto.CALM Therapy was designed to reduce distress and promote psychological well-being in patients with advanced cancer; this article will describe its main components, characteristics and evidence of its benefit for this population.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".