Nephrologists Should Voluntarily Divulge Survival Data to Potential Dialysis Patients: A Questionnaire Study
Bibliographic record
Abstract
BACKGROUND: For many dialysis patients, survival is no different than with certain cancers. Yet, it appears that most nephrologists do not give detailed information about survival prior to obtaining informed consent for chronic dialysis. There are no published data on whether patients wish to be so informed. OBJECTIVE: To assess whether patients would want voluntary disclosure by their physician of their survival should they need dialysis, and if so, why? METHOD: A questionnaire was completed by 100 general nephrology patients during their first visit to a nephrologist. RESULTS: The vast majority of patients (97%) would want to be given life-expectancy information, and for the physician to do so without having to be prompted. Furthermore, the majority of patients would want as much information as possible, both good and bad. CONCLUSIONS: Virtually all patients want, and therefore should receive from their physician, prognostic information about dialysis to facilitate informed decision-making. This is in accordance with current practice guidelines.
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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 | 0.016 | 0.051 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".