Nephrologists’ Changing Practices in Reported End-of-Life Decision-Making
Bibliographic record
Abstract
Because the dialysis patient population is increasingly composed of older patients with high symptom burden, shortened life expectancy, and multiple comorbid conditions, nephrologists often engage in end-of-life decision-making with their patients. In the 1990s, reported practices of nephrologists' end-of-life decision-making showed much variability. In part as a reaction to that variability, the Renal Physicians Association (RPA) and the American Society of Nephrology (ASN) developed a clinical practice guideline on end-of-life decision-making. To determine whether nephrologists' attitudes and reported practices had changed over time, survey responses from 296 nephrologists completing an online survey in 2005 were compared with 318 nephrologists who completed a similar mailed survey in 1990. In 2005, less variability was noted in reported practices to withhold dialysis from a permanently unconscious patient (90% would withhold in 2005 versus 83% who would withhold in 1990, P < 0.001) and to stop dialysis in a severely demented patient (53% in 2005 would stop versus 39% in 1990, P < 0.00001). In 2005, significantly more dialysis units were reported to have written policies on cardiopulmonary resuscitation (86% in 2005 versus 31% in 1990, P < 0.0001) and withdrawal of dialysis (30% in 2005 versus 15% in 1990, P < 0.0002); nephrologists were also more likely to honor a dialysis patient's do-not-resuscitate order (83% in 2005 versus 66%, P < 0.0002) and to consider consulting a Network ethics committee (52% in 2005 versus 39%, P < 0.001). Nephrologists' reported practices in end-of-life care have changed significantly over the 15 years separating the two surveys, suggesting that the development of the clinical practice guideline was worthwhile.
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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 | 0.009 | 0.043 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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 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".