Do patients benefit from participating in medical decision making? Longitudinal follow-up of women with breast 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
This study sought to examine the relationships between decisional role (preferred and assumed) at time of surgical treatment (baseline), congruence between assumed role at baseline and preferred role 3 years later (follow-up), and quality of life at follow-up. Two hundred and five women diagnosed with breast cancer completed the decisional role preference scale at baseline and follow-up, and the EORTC QLQ-C30 at follow-up. A statistically significant number of women had decisional role regret, with most of these women preferring greater involvement in treatment planning than was afforded them. Women who indicated at baseline that they were actively involved in choosing their surgical treatment had significantly higher overall quality of life at follow-up than women who indicated passive involvement. These actively involved women had significantly higher physical and social functioning and significantly less fatigue than women who assumed a passive role. Quality of life was significantly related to reports of experienced involvement in treatment decision making, but not to reports of preferred involvement, or congruence between preferred and experienced involvement.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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