An analysis of preoperative delays prior to radical cystectomy forbladder cancer in Quebec
Bibliographic record
Abstract
BACKGROUND: The province of Quebec has the highest incidence of urothelial tumours in Canada. Radical cystectomy remains the standard treatment for invasive bladder cancer. We have previously observed that prolonged delays between transurethral resection of bladder tumour (TURBT) and radical cystectomy lead to worse survival in Quebec. OBJECTIVE: The aim of our study was to characterize the various periods of delay sustained by bladder cancer patients before radical cystectomy across Quebec and to determine their relation to survival. METHODS: We obtained the billing records for all patients treated with radical cystectomies for bladder cancer across Quebec from 1990 to 2002. Collected information included patient age and sex; dates of family physician (FP) and specialist visits with accompanying diagnoses; dates of cystoscopy, TURBT and CT scanning; surgeon age; surgical volume and dates of death. RESULTS: We analyzed a total of 25 862 visits for 1633 patients. Median diagnostic delays from FP to specialist, then to cystoscopy, then to TURBT and finally from TURBT to CT were 20, 11, 4 and 14 days, respectively, over the entire study period. Median overall delay from FP visit to radical cystectomy was 93 days. In addition, median FP to radical cystectomy delay progressively increased from 1990 to 2000 from 58 to 120 days (p < 0.01). Multivariate analyses showed that patients with an overall delay of either < 25 or > 84 days had a 2.1 and 1.4 times increased risk of dying, respectively (p </= 0.01). CONCLUSION: Preoperative delays have been progressively increasing over time. Overall, delays from FP to radical cystectomy of < 25 and > 84 days may translate into worse outcomes. Poor survival in cases with < 25 days delay may be attributed to case selection, with more advanced cases being managed much quicker. Poor survival in cases with delays of > 84 days may be attributed to disease progression while awaiting completion of management.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".