Evaluating collagenase Clostridium histolyticum administration protocols in the treatment of Peyronie's disease
Bibliographic record
Abstract
PURPOSE OF REVIEW: Treatment of Peyronie's disease with collagenase Clostridium histolyticum (CCh) has gained world-wide adoption following the phase III clinical trials IMPRESS I and II. However, the optimal treatment parameters remain largely unknown. Many groups have made modifications to CCh treatment in Peyronie's disease in recent years. This review aims to discuss the variations in CCh treatment reported and associated outcomes. RECENT FINDINGS: Variations in CCh treatment protocols include administering higher CCh doses (0.9 mg) less frequently (q1month), use of home penile modeling, use of angulating penile traction devices, and vacuum therapy devices. Authors have reported different injection techniques to include three-point fans and tunneling techniques. Patient selection has expanded to include and evaluate responses among men with some extent of plaque calcification, and ventral curves. SUMMARY: Since publication of the IMPRESS trials, several variations of CCh treatment have been reported with similar treatment responses to the original trials. However, future studies are required with prospective, randomized comparative designs to identify the optimal treatment strategies for men with Peyronie's disease.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".