Patient-Reported Urinary Symptom Progression After Bacillus Calmette–Guerin Therapy for Bladder Cancer
Bibliographic record
Abstract
Background/Objectives: Lower urinary tract symptoms (LUTs) are commonly reported complications of intravesical Bacillus Calmette–Guerin (BCG) instillation for non-muscle invasive bladder cancer; however, there is limited characterization of the severity of the symptoms. We aim to explore the progression of LUTs with BCG treatment for bladder cancer. Methods: Patients were given the Overactive Bladder Questionnaire Short Form (OAB-q SF) to complete prior to their weekly BCG instillation during their primary six-week induction course. Mean symptom scores were compared for weeks 2 through 6 to baseline scores (week 1) utilizing two-sample tests. Subgroup analysis was conducted to identify cohorts at increased risk for urinary symptom progression. Simple linear regression was performed to determine the change in mean symptom scores over time. Results: A total of 60 patients completed the full six-week induction course and completed the required questionaries. Intravesical BCG administration was associated with no significant change in scores across either the symptom bothers or HFQL surveys, which were taken independently or in aggregate. No statistically significant differences in symptom scores were found between subgroups created based on demographic variables, tumor characteristics, or clinical presentation. Conclusions: Although intravesical BCG may cause acute urinary symptoms, it does not seem to impact a patient’s baseline urinary symptom profile. This is important when counseling patients about the perceived chronic urinary symptom risk associated with BCG treatment.
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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) | 0.000 | 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 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".