Management of bacillus Calmette-Guerin (BCG) refractory superficial bladder cancer: results with intravesical BCG and Interferon combination therapy.
Bibliographic record
Abstract
INTRODUCTION AND OBJECTIVE: BCG is the most efficacious intravesical treatment for superficial bladder cancer. However, 30%-40% of tumors are refractory. BCG failure is an indication for cystectomy but several salvage intravesical (IVe) strategies have been proposed. Early results with reduced dose BCG in combination with IFN-a in patients are currently the most promising. We have adopted this approach and now report our preliminary results. This is the first report of this salvage therapy from Canada, the birthplace of IVe BCG therapy for superficial bladder cancer. METHODS: The "O'Donnell protocol" of reduced dose IVe BCG plus IFN-a was followed in 12 patients with BCG refractory superficial transitional cell carcinoma. A retrospective review of the efficacy and toxicity of the treatment was conducted. RESULTS: One year from induction therapy with salvage BCG/IFN-a, 6 of the 12 (50%) of patients were tumor free. Of the six recurrences, 3(50%) did not respond to the IVe therapy and had residual/recurrent tumor at the first follow-up visit. Risk factors for treatment failure were identified. The combinative therapy was well tolerated with minimal toxicity compared to previous full dose BCG. CONCLUSION: Our 12 month data with reduced dose IVe BCG plus IFN-a salvage therapy for BCG refractory superficial TCC confirm previous reports of >50% complete response rates. We need longer follow up in a larger patient population to determine the durability of this promising therapy in patients who would otherwise undergo radical cystectomy.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 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".