Rates of other‐cause mortality after radical cystectomy are decreasing over time—A population‐based analysis over two decades
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: To investigate other-cause mortality (OCM) rates over time according to several baseline characteristics in bladder cancer (BCa) patients treated with radical cystectomy (RC). METHODS: urothelial BCa patients treated with RC. Temporal trends and multivariable Cox regression (MCR) analyses assessed 5-year OCM. Data were stratified according to the year of diagnosis (1988-1995 vs 1996-2000 vs 2001-2004 vs 2005-2008 vs 2009-2011), age group (<60 vs 60-75 vs >75 years), sex, race, marital status, and socioeconomic status. RESULTS: Overall, OCM rates decreased from 13.9% in 1988-1995 to 8.6% in 2009-2011. The greatest decrease was recorded in elderly (>75) patients (32%-16%, slope: -0.55% per year; P = .01), followed by patients aged 60 to 75 (21%-5%, slope: -0.35% per year; P = .01), unmarried patients (16%-10%, slope: -0.26% per year; P < .001), male patients (14%-8.9%, slope: -0.23% per year), and African Americans (16%-11%, slope: -0.27% per year; P < .001). MCR models corroborated these results. CONCLUSIONS: Most important decrease in OCM after RC over the last decades was recorded in the elderly, unmarried, and male patients. Nonetheless, these three patient groups still represent ideal targets for efforts aimed at minimizing the morbidity and mortality after RC, as their risk of OCM is higher than in others.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.004 | 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 teacher head, 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".