A Description of Advanced Chronic Kidney Disease Patients in a Major Urban Center Receiving Conservative Care
Bibliographic record
Abstract
BACKGROUND: Conservative/palliative (nondialysis) management is an option for some individuals for treatment of stage 5 chronic kidney disease (CKD). Little is known about these individuals treated with conservative care in the Canadian setting. OBJECTIVE: To describe the characteristics of patients treated with conservative care for category G5 non-dialysis CKD in a Canadian context. DESIGN: Retrospective chart review. SETTING: Urban nephrology center. PATIENTS: ). MEASUREMENTS: Baseline patient demographic and clinical characteristics of conservative care follow-up, advanced care planning, and death. METHODS: We undertook a descriptive analysis of individuals enrolled in a conservative care program between January 1, 2009, and June 30, 2015. RESULTS: One hundred fifty-four patients were enrolled in the conservative care program. The mean age and standard deviation was 81.4 ± 9.0 years. The mean modified Charlson Comorbidity Index score was 3.4 ± 2.8. The median duration of conservative care participation was 11.5 months (interquartile range: 4-25). Six (3.9%) patients changed their modality to dialysis. One hundred three (66.9%) patients died during the study period. Within the deceased cohort, most (88.2%) patients completed at least some advanced care planning before death, and most (81.7%) of them died at their preferred place. Twenty-seven (26.7%) individuals died in hospital. LIMITATIONS: Single-center study with biases inherent to a retrospective study. Generalizability to non-Canadian settings may be limited. CONCLUSIONS: We found that individuals who chose conservative care were very old and did not have high levels of comorbidity. Few individuals who chose conservative care changed modality and accepted dialysis. The proportions of engagement in advanced care planning and of death in place of choice were high in this population. Death in hospital was uncommon in this population.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".