Fractional CO2 laser for the treatment of Peyronie’s disease
Bibliographic record
Abstract
Introduction: Fractional CO2 laser therapy is used to treat fibrosing conditions similar to Peyronie’s disease (PD). The aim of the study was to evaluate the safety and efficacy of using a fractional CO2 laser in the management of chronic phase PD. Methods: This was a single-site, non-randomized, open-label study using a fractional CO2 laser. Subjects underwent three treatment sessions every six weeks with a fractional CO2 device. Topical triamcinolone was applied immediately after each treatment. Between treatments, patients performed penile modeling three times daily. Penile curvature assessments, self-reported questionnaires, and adverse event screenings were completed at baseline, 24 weeks, and at 52 weeks. Results: Five patients were included in the study. The median baseline penile curvature was 37.0° (interquartile range [IQR] 33.0°, 53.0°), and at 52 weeks, this had reduced to a median curvature to 28.0° (IQR 17.50°, 44.0°, p=0.03), representing a median reduction in penile curvature by 24.3% (IQR 17.0%, 47.5%). The International Index of Erectile Function Overall scores were comparable at baseline and at 52 weeks (median: 59.0, IQR: 42.5, 66.5 vs. median: 60.0, IQR 53.5, 70.0 respectively, p=0.81). Patients did report significant improvement in overall Peyronies’ disease questionnaire (PDQ) scores from baseline to 52 weeks after laser treatment (median 26.0, IQR15.0, 29.5, vs. median: 14.0, IQR 7.0, 22.50, respectively, p=0.03). Four patients reported self-limiting side effects immediately after laser therapy that resolved spontaneously within two weeks. Conclusions: Fractional CO2 laser therapy may serve as a well-tolerated and minimally invasive therapy for PD in the future, with results at 52 weeks being encouraging.
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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".