Patient Preferences in Metastatic Breast Cancer Care: A Scoping Review
Bibliographic record
Abstract
People with metastatic breast cancer (MBC) have diverse medical, physical, and psychosocial needs that require multidimensional care. Understanding patient preferences is crucial to tailor treatments, services, and foster patient-centered care. A scoping review was performed to summarize the current evidence on the preferences of people with MBC regarding their care to identify knowledge gaps and key areas for future research. The Embase, MEDLINE, CINAHL and PsycInfo databases were searched. Twenty studies enrolling 3354 patients met the study eligibility criteria. Thirteen quantitative studies, four mixed methods studies, and three qualitative studies were included. Seven studies captured healthcare provider perspectives; thirteen studies evaluated patient preferences relating specifically to cancer treatments; three studies evaluated preferences relating to supportive care; and four studies evaluated communication and decision-making preferences. The current literature evaluating MBC patient preferences is heterogeneous with a focus on cancer treatments. Future research should explore patient preferences relating to multidisciplinary, multi-modal care that aims to improve quality of life. Understanding MBC patient preferences regarding their comprehensive care can help tailor healthcare delivery, enhance the patient experience, and improve outcomes.
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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) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".