A clinico-aetiological and ultrasonographic study of Peyronie’s disease
Bibliographic record
Abstract
BACKGROUND: Peyronie's disease is a localised connective tissue disorder that involves the tunica albuginea of the penis. Although long recognised as an important clinical entity of the male genitalia, the aetiology of this disease has remained poorly understood. METHODS: The epidemiology and clinical presentation of Peyronie's disease during a 10-year period was evaluated. RESULTS: Forty-two men with Peyronie's disease from Chandigarh, India were reviewed retrospectively. The prevalence of Peyronie's patients was 1.97/1000 patients. Their ages ranged from 23 to 70 years. Most of them presented during the early phase of the disease. The most common presenting complaint was penile curvature in 34 (80.95%) followed by pain on erection in 28 (66.66%). History of penile trauma was revealed by four (9.52%) patients. Among the risk factors, hypercholesterolemia (60%), hypertension (33.3%) and asymptomatic hyperuricemia (28.34%) were the most common. Twenty-two patients with Peyronie's disease were studied by ultrasonography. Ultrasonogram was more accurate than clinical assessment in delineating the extent of lesions. In one-third of the patients, sonography demonstrated the plaques to be more extensive than had been detected by clinical examination. CONCLUSIONS: The clinical symptoms and signs in our study were, in general, similar to those found in the previous studies. Higher incidence of hypertension and diabetes in patients with Peyronie's disease may also be to an extent due to patients being in an older age group.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".