Benefit of Neoadjuvant Cisplatin-based Chemotherapy for Invasive Bladder Cancer Patients Treated with Radiation-based Therapy in a Real-world Setting: An Inverse Probability Treatment Weighted Analysis
Bibliographic record
Abstract
BACKGROUND: Neoadjuvant chemotherapy (NAC) improves survival for patients with muscle-invasive bladder cancer (MIBC) treated with radical cystectomy. Studies on the potential benefit of NAC before radiation-based therapy (RT) are conflicting. OBJECTIVE: To evaluate the effect of NAC on patients with MIBC treated with curative-intent RT in a real-world setting. DESIGN, SETTING, AND PARTICIPANTS: The study cohort consisted of 785 patients with MIBC (cT2-4aN0-2M0) who underwent RT at academic centers across Canada. Patients were classified into two treatment groups based on the administration of NAC before RT (NAC vs no NAC). OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The inverse probability of treatment weighting (IPTW) with absolute standardized differences (ASDs) was used to balance covariates across treatment groups. The impact of NAC on complete response, overall, and cancer-specific survival (CSS) after RT in the weighted cohort was analyzed. RESULTS AND LIMITATIONS: After applying the exclusion criteria, 586 patients were included; 102 (17%) received NAC before RT. Patients in the NAC subgroup were younger (mean age 65 vs 77 yr; ASD 1.20); more likely to have Eastern Cooperative Oncology Group performance status 0-1 (87% vs 78%; ASD 0.28), lymphovascular invasion (32% vs 20%; ASD 0.27), higher cT stage (cT3-4 in 29% vs 20%; ASD 0.21), and higher cN stage (cN1-2 in 32% vs 4%; ASD 0.81); and more commonly treated with concurrent chemotherapy (79% vs 67%; ASD 0.28). After IPTW, NAC versus no NAC cohorts were well balanced (ASD <0.20) for all included covariates. NAC was significantly associated with improved CSS (hazard ratio [HR] 0.28; 95% confidence interval [CI] 0.14-0.56; p < 0.001) and overall survival (HR 0.56; 95% CI 0.38-0.84; p = 0.005). This study was limited by potential occult imbalances across treatment groups. CONCLUSIONS: If tolerated, NAC might be associated with improved survival and should be considered for eligible patients with MIBC planning to undergo bladder preservation with RT. Prospective trials are warranted. PATIENT SUMMARY: In this study, we showed that neoadjuvant chemotherapy might be associated with improved survival in patients with muscle-invasive bladder cancer who elect for curative-intent radiation-based therapy.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.005 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".