An epidemiologic overview of a tertiary referral practice for male paediatric lichen sclerosus
Bibliographic record
Abstract
Within the paediatric population, changing patterns of circumcisions have confounded the epidemiology and presentation of lichen sclerosus (LS). We sought to evaluate the incidence, demographics, and clinical features of patients presenting to a single Albertan paediatric urologist with LS. This retrospective descriptive analysis evaluated all paediatric patients referred for phimosis to a single paediatric urologist in Edmonton, Alberta. Chief complaints/symptoms, date of birth, and date of circumcision were identified. The primary outcome of interest was the proportion of circumcisions with pathologically confirmed LS. From July 2006 to March 2016, 4,163 patients were seen for phimosis of the approximate 12,000 new referrals. Hundred phimosis patients had clinically suspected LS. Of those adequately reported, 81 (81/83) were microscopically confirmed to be LS with a mean age of 9.6 years and median age of 8.9 years (range 4.1 to 16.1 years). This cohort represented 2.0% of phimosis referrals and approximately 0.7% of all referrals to our paediatric urologist. When compared to physiologic phimosis, these patients had higher rates of dysuria (n=28, 34.6% versus n=1, 1.0%, P<0.0001) and urinary retention (n=18, 22.2% versus n=1, 1.0%, P<0.0001) as presenting complaints. LS of the paediatric male genitalia is an uncommon, albeit clinically significant disease entity. The clinical diagnosis for the trained practitioner is very accurate.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".