Administration of Mycobacterium phlei cell wall-nucleic acid complex in the immediate postoperative period for the treatment of nonmuscle- invasive bladder cancer
Bibliographic record
Abstract
INTRODUCTION: This review sought to investigate the safety of intravesical administration of Mycobacterium phlei cell wall-nucleic acid (MCNA) in the immediate postoperative period after biopsy/resection for non-muscle-invasive bladder cancer (NMIBC). METHODS: Patients with NMIBC who failed bacillus Calmette-Guérin (BCG) therapy and at high risk of recurrence and progression participated in this study. Treatment involved an induction phase of six weeks and maintenance of three weekly instillations every six months for two years. Biopsies were mandatory at six months and resections/biopsies as indicated. Of the 129 patients enrolled, 18 (14%) received one or more instillations of MCNA within 24 hours of an endoscopic procedure for a total of 32 instillations. RESULTS: Fourteen patients (78%) received MCNA in the immediate postoperative period. Two (11%) received treatment the day after surgery, but a second treatment immediately after a transurethral resection of the bladder tumour (TURBT). The remaining two patients received an instillation each the day after surgery. Adverse events (AEs) occurred in 31.3% of those treated immediately after the procedure; they were mild, limited to the lower urinary tract, and not drug-related. Only one patient experienced systemic symptoms of moderate severity. None of the AEs resulted in postponement of treatment. There were no AEs among those receiving MCNA the day after surgery. CONCLUSIONS: The dual mechanism of action of MCNA suggests that early treatment would take advantage of its chemotherapeutic (pro-apoptotic) activity. Concerns about early administration due to the presence of live bacteria are circumvented with this sterile preparation. These preliminary results warrant further investigation to confirm the safety of perioperative administration of MCNA.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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".