Maximum conservative management for patients with chronic kidney disease stage 5
Bibliographic record
Abstract
Following the expansion of dialysis services for patients with chronic kidney disease, an increasing number of elderly patients with varying degrees of frailty and additional comorbidities have been offered treatment. Life expectancy is somewhat limited in this group of patients, and initiation of dialysis may not necessarily improve quality of life. As such, an increasing number of centers are offering conservative care for patients who have made an informed decision not to have dialysis. As conservative care includes active treatment of anemia, volume overload, blood pressure control, and management of uremic symptoms, including pruritus, we term this approach as maximal conservative management of chronic kidney disease. We describe our experience of maximum conservative management, which although may not prolong life, can maintain the quality of life and functional ability until the final illness in the majority of patients. Although these patients do not go to the hospital on a regular basis, coordinated support from the hospital, the community, and the care giver/relative is required for successful care of the patient. Appropriate end of life planning can then be made according to the wishes of the patient.
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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 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".