Oxidized Cellulose for Epithelialization of Neovagina in Vaginal Agenesis
Bibliographic record
Abstract
Objective: The study objective was to evaluate use of oxidized regenerated cellulose (Surgicel®) for epithelialization of neovagina in vaginal agenesis. Design: A prospective, longitudinal study (Canadian Task Force classification II-2) was conducted at a tertiary care center. Method: Ten (10) women (ages: 17–25 years) with vaginal agenesis, undergoing surgical construction of vagina over a period of 2 years, were included in the study. The surgical technique involved creation of a neovagina by modified Sheares technique, followed by use of a foam mold covered with a condom and further wrapped in oxidized cellulose to aid epithelialization. The main outcome measures evaluated were effectiveness and complications (if any) with the use of oxidized cellulose for epithelialization of neovagina. Results: There were no intraoperative complications. Adequate vaginal length (7–10 cm) was achieved in all cases on foam mold removal. On follow-up at 6 months, all vaginas were well epithelialized. One (1) patient had granulation tissue persisting for the initial 8 weeks, after which the vagina healed well. One (1) patient did not use a glass mold postsurgery and had partial stenosis; except for this patient, none had coital difficulty. Conclusions: Vaginal reconstruction using oxidized cellulose is a safe and effective procedure, with minimum complications and good success rates. Unlike amnion grafts, there is no risk of transmission of infections. (J GYNECOL SURG 26:189)
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".