Exploration of health-related quality of life areas that may distinguish between continent diversion and ileal conduit patients.
Bibliographic record
Abstract
OBJECTIVES: We explored the specific impact of urinary diversion type on HRQOL in men after cystectomy for bladder cancer. Our intent was to provide a basis for the development of a diversion-specific instrument. METHODS: We invited 13 ileal conduit and 12 orthotopic urinary diversion (neo-bladder) male patients to several open-ended interviews. We explored HRQOL domains that may have been affected by cystectomy and urinary diversion, and that could then be used to form a basis for a diversion-specific HRQOL measure. RESULTS: The average age of neo-bladder patients was 59 versus 65 years for ileal conduit patients. We identified 10 HRQOL domains, ranging from involuntary urine leakage to dietary modifications, which were recognized as important by ileal conduit and neobladder patients. Within each domain, a sufficient amount of overlap existed to allow developing a measure that might be applied to both groups of patients. CONCLUSIONS: Ten HRQOL domains were identified as important by ileal conduit and neobladder patients. These demonstrated a significant amount of overlap between conduit and neobladder patients. Potentially, these domains could be used to develop scales for distinguishing between conduit and neobladder-specific HRQOL detriments.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".