Research Priorities in Neuropalliative Care
Bibliographic record
Abstract
Importance: The integration of palliative care in neurology, or neuropalliative care, is an emerging area of practice focused on holistically improving quality of life and reducing the burden of suffering for people living with serious neurologic disease and their care partners. Major neurology and palliative care societies have recognized the need to advance primary and specialty palliative care services for people with neurologic disease. However, research to support this work is in its early stages. Observations: The International Neuropalliative Care Society Research Committee convened an interdisciplinary panel of experts, including clinicians, scientists, people with neurologic disease, and care partners, to identify priority research areas for the advancement of neuropalliative care as a field. Three priority areas highlighted in this review include (1) patient- and care partner-centered symptoms and outcomes specific to neurologic illness and tools for their assessment, (2) development of effective neuropalliative care interventions and delivery models, and (3) methods to support the ability to foster, deliver, and measure goal-concordant care over time. Conclusions and Relevance: This Special Communication outlines some of the most pressing neuropalliative care research needs, the advancement of which will best serve patients of all ages living with serious neurologic diseases and their care partners. Research funding mechanisms are needed to support and sustain impactful work in this field.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.007 |
| 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".