Treatment of Labial Fusion with Topical Estrogen Therapy
Bibliographic record
Abstract
Twenty girls with labial fusion that covered at least 50% of the vaginal opening were treated with a topical estrogen cream. The cream was precisely applied to the fused area twice a day until the adhesions were totally lysed. After separation of the adhesions, a petroleum ointment (Vaseline) was applied twice a day to the labia minora for at least 1 month. The introital area was carefully rinsed twice each day before application of either the estrogen cream or the petroleum ointment. The mean age of the studied population was 13.2 months (range, 2 to 38 months). The mean duration of estrogen treatment was 2.4 months (range, 1 to 3.5 months). All patients were successfully treated. Five patients developed vulval pigmentation, which lasted for a mean of 1.5 months. One patient developed breast enlargement, which lasted for 1 month. The mean duration of follow-up was 3.1 months, and there was no recurrence of labial fusion during the period of follow-up. We conclude that treatment of labial fusion with topical estrogen therapy is safe and effective.
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 | 0.000 | 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 | 0.001 | 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) | 0.002 | 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".