Unilateral cleft lip closure by use of Dermabond (N-octyle-2-cyanoacrylate)
Bibliographic record
Abstract
Background: Facial cosmetic results are one of the most concerning issues for the parents who get their children operated for cleft lip. Moreover, the postoperative care of the surgical site, the discomfort associated with the suture removal, and additional visit for suture removal are other reasons which encourages one to use any new technologies that may replace the need for suture placement. In this study, we used octyl-2-cyanoacrylate, a tissue adhesive which offers a viable alternative to traditional techniques without compromising optimal wound closure. Objective: To perform a comprehensive comparison of the outcomes from the use of Dermabond in patients undergoing primary repair of congenital cleft lip ± palate anomalies. Materials and Methods: Twenty patients, in the age group of 3–18 months were treated surgically for unilateral cleft lip deformity using Millard rotation-advancement flap. Pre- and post-operative photographs of the patients were taken at 1 week, 2 week, 1 month, 6 months, and 1 year postoperatively and were evaluated using Vancouver scar scale which was given by Sullivan in 1990. Paired t-test was used for statistical analysis. Results: Increased vascularity (hyperemia) was seen in the 1st and 2nd week in 35% and 30% patients, respectively which gradually reduced to normal in subsequent follow-ups. The scar was flat in 85% of patients in 1st week, and the number decreased to 10% at the end of 1 year. No wound dehiscence was found in any patients. Statistical analysis showed that among all the follow-ups, only the difference between the first and second follow-ups. Comparison of the results of 1 week with all other follow-ups yielded no significant results. Conclusion: Octyl-2-cyanoacrylate can be used for cleft lip closure effectively. The procedure is relatively painless and quick. Added to this are benefits of protection from wound infection since the material is bacteriostatic.
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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 | 0.001 |
| 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) | 0.002 | 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".