Evaluation of Oral Pentoxifylline, Colchicine, and Penile Traction for the Management of Peyronie’s Disease
Bibliographic record
Abstract
Abstract Introduction Currently, there are several treatment options for Peyronie disease (PD). Although surgical interventions have better reported outcomes than conservative therapy, surgery is not suitable for all patients with PD. Therefore, oral therapy for PD is still a frequently used treatment due to low cost, convenience and limited side effects. However, current literature on the efficacy of oral therapy in PD is inconclusive. Pentoxifylline and colchicine have both shown some promise though further studies are required to confirm their effectiveness. Aim The aim of this study was to assess the efficacy of oral therapy for PD, including pentoxifylline and colchicine, coupled with the Andropenis penile traction therapy (PTT) extender on degree of penile curvature and plaque size. Methods Between March 2015 and June 2018, a prospectively collected database for patients receiving oral therapy for PD (pentoxifylline and/or colchicine) was reviewed. Main Outcome Measure Collected data variables were compared at baseline and after 6 months of treatment, including degree of curvature, plaque size, and penile Doppler ultrasound parameters (peak systolic velocity, minimum diastolic velocity, and pulsatility index). PTT was applied by the patient for a total of 1 hour per day for 6 months. Results A total of 46 patients were involved in this study. Mean age was 56 ± 10 years. There was a significant decrease in the degree of penile curvature after 6 months (55.8º ± 20º vs 41.4º ± 20.8º; P = .03). Likewise, the plaque size decreased significantly from 5.42 ± 2.7 to 2.42 ± 1.71 cm2; P = .0001. There was a significant increase in the peak systolic velocity from 29.8 ± 10.02 to 38.2 ± 11cm/sec; P = .02, whereas no statistically significant difference could be detected regarding end diastolic velocity (M = 0.56 ± 3.1 vs 1.59; P = .415) or pulsatility index (Mdiff = 0.03; CI = -0.06 to 0.12; P = .473). Furthermore, there was no statistically significant difference in medication type of pentoxifylline or colchicine (Mdiff = 17.23; CI = -3.31 to 37.77; P = .09). Conclusion Altogether, pentoxifylline and colchicine, taken with concomitant PTT, present a potentially convenient, low cost, and effective treatment for penile curvature and plaque resulting from PD. Prospective randomized trials are still required for better evaluation of the course of PD with patients undergoing conservative management.
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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) | 0.001 | 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".