Short-term perioperative outcomes of patients treated with radical cystectomy for bladder cancer included in the National Surgical Quality Improvement Program (NSQIP) database
Bibliographic record
Abstract
INTRODUCTION: We report the contemporary outcomes of radical cystectomy (RC) in patients with bladder cancer using a national, prospective perioperative database specifically developed to assess the quality of surgical care. METHODS: The National Surgical Quality Improvement Program (NSQIP) database was queried from 2006 to 2011 for RC. Data on postoperative complications, operative time, length of stay, blood transfusions, readmission, and mortality within 30 days from surgery were abstracted. RESULTS: Overall, 1094 patients undergoing RC were identified. Rates of overall complications, transfusions, prolonged length of hospitalization, readmission, and perioperative mortality were 31.1%, 34.4%, 25.9%, 20.2%, and 2.7%, respectively. Body mass index represented an independent predictor of overall complications on multivariate analysis (p = 0.04). Baseline comorbidity status was associated with increased odds of postoperative complications, prolonged operative time, transfusion, prolonged hospitalization, and perioperative mortality. In particular, patients with cardiovascular comorbidities were 2.4 times more likely to die within 30 days following cystectomy compared to their healthier counterparts (p = 0.04). Men had lower odds of prolonged operative time and blood transfusions (p ≤ 0.03). Finally, the receipt of a continent urinary diversion was the only predictor of readmission (p = 0.02). Our results are limited by their retrospective nature and by the lack of adjustment for hospital and tumour volume. CONCLUSIONS: Complications, transfusions, readmission, and perioperative mortality remain relatively common events in patients undergoing RC for bladder cancer. In an era where many advocate the need for prospective multi-institutional data collection as a means of improving quality of care, our study provides data on short-term outcomes after RC from a national quality improvement initiative.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".