Comprehensive Insights into Palliative Nephrology: A Chapter in Contemporary Renal Medicine
Bibliographic record
Abstract
Chronic Kidney disease (CKD) is a global epidemic, affecting more than 800 million people worldwide. Advanced CKD patients experience a substantial symptom burden, compromising their Health-Related Quality of Life. It is crucial for healthcare practitioners to understand the palliative needs of CKD patients, and participate in Advance Care Planning (ACP) and shared decision-making, aligning medical care with patients’ preferences and values. Prognostication tools can help identify those unsuitable for dialysis, leading to consideration of conservative kidney management (CKM), prioritizing supportive care over invasive interventions. Early palliative care referral improves symptom control, patient satisfaction, and goal-concordant care. Symptom management is an important consideration and requires careful consideration of drug dosing and toxicities due to impaired renal function. Dialysis, while extending life, may exacerbate patient suffering; optimizing comfort-oriented therapy can enhance quality of life. End-of-life care, including dialysis withdrawal and hospice care, is a key feature of palliative nephrology, but ethical dilemmas and cultural context must be carefully considered. With an aging CKD population, nephrologists will need to integrate palliative care principles into routine kidney care. This will include improving confidence and competence in providing palliative renal care, and implementing system-level changes to remove barriers to effective palliation and end-of-life care.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.029 | 0.012 |
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".