Real-World Treatment Patterns and Outcomes in Patients With Bacillus Calmette-Guérin–Unresponsive High-Risk Non–Muscle-Invasive Bladder Cancer: A Multicountry Medical Chart Review
Bibliographic record
Abstract
INTRODUCTION: Treatment patterns for patients with bacillus Calmette-Guérin (BCG)-unresponsive high-risk non-muscle-invasive bladder cancer (NMIBC) who are ineligible for or decline radical cystectomy (RC) are inconsistently reported. We retrospectively described demographic, clinical, and treatment characteristics for these patients and assessed their clinical outcomes. PATIENTS AND METHODS: Medical charts of patients with BCG-unresponsive high-risk NMIBC (carcinoma in situ [cohort A] or T1/high-grade Ta [cohort B]) who were ineligible for or declined RC documented between January 1, 2011, and December 31, 2018, at 15 academic centers were reviewed. Primary objectives were to characterize demographic, clinical, and nonsurgical treatment characteristics. Secondary objectives included assessing real-world progression-free survival (rw-PFS) from muscle-invasive/metastatic disease, rw-PFS from worsening grade or stage, real-world complete response rate (rw-CRR) in cohort A, real-world event-free survival (rw-EFS) from high-risk NMIBC in cohort B, and overall survival. RESULTS: The study included 129 patients (cohort A, n = 57; cohort B, n = 72). Median age was 72.0 years (interquartile range, 64.0-80.0). Most patients were male (72.1%) and current/former smokers (69.8%). Median follow-up was 32.1 months (interquartile range, 20.7-47.6). BCG rechallenge with or without interferon-α (63.6%) was the most commonly utilized first nonsurgical therapy, followed by intravesical mitomycin C with or without electromotive drug administration or thermochemotherapy (15.5%), and intravesical valrubicin (10.9%); among those who received BCG rechallenge alone, 54.8% later received a non-BCG therapy in ≥ 2 subsequent treatments. 36-month rate for rw-PFS from muscle-invasive/metastatic disease was 73.5%, 66.8% for rw-PFS from worsening grade/stage, and 82.5% for overall survival. In cohort A, 6-month rw-CRR was 22.2%. In cohort B, 36-month rw-EFS rate from high-risk NMIBC was 50.2%. CONCLUSION: After BCG-unresponsive disease, most patients with high-risk NMIBC received BCG rechallenge with or without other therapies, and > 25% experienced disease progression within the first 3 years. Effective bladder-sparing options for BCG-unresponsive NMIBC are needed. CLINICAL TRIAL REGISTRATION: N/A.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 |
| 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 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".