Bibliographic record
Abstract
OBJECTIVE: To review long-term efficacy and complications of surgical treatment of penile curvature in a Chinese population. DESIGN: Retrospective review. SETTING: Regional hospital, Hong Kong. PATIENTS. Patients who underwent surgical treatment of penile curvature between January 1997 and March 2005 inclusive. INTERVENTION: Penile curvature corrective surgery. MAIN OUTCOME MEASURES: Penile curvature recurrence, early and late complications. RESULTS: Of 22 patients who underwent surgical treatment of penile curvatures, 19 had congenital and three had acquired diseases. The mean angle of deformity was 52.5 (range, 20-90) degrees. Ten patients had Nesbit procedures, ten had modified Nesbit procedures, and two underwent vein grafting. Twenty patients had residual or recurrent penile curvatures at a mean follow-up of 50.9 months. Fifteen patients had less than 30 degrees curvature and five had 30 to 60 degrees curvature. Early complications included wound infection (n=3), penile skin necrosis (n=1) treated by skin graft, and urethral injury (n=1). Three patients had erectile dysfunction; four complained of glans paraesthesia. Penile shortening (mean, 1.4 cm) and palpable knots were common late complications. A total of 19 patients were satisfied with the final outcomes. CONCLUSIONS: Surgical treatment of penile curvature produces long-term patient satisfaction. Preoperative counselling on potential recurrence and common minor complications is crucial to produce favourable outcomes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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".