Effects of supportive‐expressive group therapy on survival of patients with metastatic breast cancer
Bibliographic record
Abstract
BACKGROUND: This study was designed to replicate our earlier finding that intensive group therapy extended survival time of women with metastatic breast cancer. Subsequent findings concerning the question of whether such psychosocial support affects survival have been mixed. METHODS: One hundred twenty-five women with confirmed metastatic (n = 122) or locally recurrent (n = 3) breast cancer were randomly assigned either to the supportive-expressive group therapy condition (n = 64), where they received educational materials plus weekly supportive-expressive group therapy, or to the control condition (n = 61), where they received only educational materials for a minimum of 1 year. The treatment, 90 minutes once a week, was designed to build new bonds of social support, encourage expression of emotion, deal with fears of dying and death, help restructure life priorities, improve communication with family members and healthcare professionals, and enhance control of pain and anxiety. RESULTS: Overall mortality after 14 years was 86%; median survival time was 32.8 months. No overall statistically significant effect of treatment on survival was found for treatment (median, 30.7 months) compared with control (median, 33.3 months) patients, but there was a statistically significant intervention site-by-condition interaction. Exploratory moderator analysis to explain that interaction revealed a significant overall interaction between estrogen-receptor (ER) status and treatment condition (P = .002) such that among the 25 ER-negative participants, those randomized to treatment survived longer (median, 29.8 months) than ER-negative controls (median, 9.3 months), whereas the ER-positive participants showed no treatment effect. CONCLUSIONS: The earlier finding that longer survival was associated with supportive-expressive group therapy was not replicated. Although it is possible that psychosocial effects on survival are relevant to a small subsample of women who are more refractory to current hormonal treatments, further research is required to investigate subgroup differences.
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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 | 0.001 | 0.003 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".