Palliative care programs for patients with breast cancer: the benefits of home-based care
Bibliographic record
Abstract
SUMMARY Improving breast cancer care means enhancing end-of-life care with specialized palliative care services. Palliative care embodies a holistic approach to care that focuses on symptom management of individuals with incurable diseases, whereas end-of-life care specifically focuses on a period of time, such as the last 6 months of life, where a rapid state of decline is often evident. The purpose of this article is to explore the benefits and limitations of end-of-life care provided in the hospital and community settings, with an emphasis on the benefits of home-based care. A key strength of home-based palliative care is the ability to expand the reach of palliative care to more cancer patients beyond residential hospice or hospital settings, which are limited in bed availability. The essential features of quality end-of-life services, regardless of setting, are care that offers seamless transitions, around-the-clock access to the same providers and an interdisciplinary, whole-person approach.
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.
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".