The association between patient body mass index and perioperative outcomes following radical cystectomy: An analysis using the American College of Surgeons National Surgical Quality Improvement Program database
Bibliographic record
Abstract
Introduction: Radical cystectomy is a highly morbid procedure with 30-day perioperative complication rates approaching 50%. Our objective was to determine the effect of patients’ body mass index (BMI) on perioperative outcomes following radical cystectomy for bladder cancer. Methods: We identified 3930 eligible patients who underwent radical cystectomy for nonmetastatic bladder cancer using the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database. The primary exposure was preoperative BMI, categorically operationalized in four strata according to the World Health Organization criteria: <18.5 kg/m2, 18.5–25 kg/m2, 25–30 kg/m2, and >30 kg/m2. Our primary outcome was major perioperative complication comprising mortality, reoperation, cardiac event, or neurological event. Results: BMI was significantly associated with rates of major complications (p=0.003): major complications were experienced by 17.0% of patients with BMI <18.5 kg/m2, 7.8% of patients with BMI 18.5–25 kg/m2, 7.9% of patients with BMI 25–30 kg/m2, and 10.8% of patient with BMI >30 kg/m2. Following multivariable adjustment for relevant demographic, comorbidity, and treatment factors, compared to patients with BMI 18.5–25 kg/m2, patients with BMI <18.5 kg/m2 (odds ratio [OR] 2.28; 95% confidence interval [CI] 1.07–4.78) and BMI >30 kg/m2 (OR 1.59; 95% CI 1.17–2.16) were significantly more likely to experience a major complication in the 30 days following cystectomy. Among the secondary outcomes, significant differences were identified in rates of pulmonary complications (p=0.003), infectious complications (p<0.001), bleeding requiring transfusion (p=0.01), and length of stay (p=0.001). Conclusions: Patients who are outside of a normal BMI range are more likely to experience major complications following radical cystectomy for bladder cancer.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".