Modified Technique and Ptosis Clamp for Surgical Correction of Congenital Pediatric Ptosis by Anterior Levator Resection
Bibliographic record
Abstract
Congenital ptosis is due to a dysgenesis of the levator complex with the levator muscle being replaced by fatty and fibrous tissue. This dysfunction of the levator muscle gives rise to the classic triad of findings in congenital ptosis, including ptosis in the primary position, lagophthalmos in downgaze, and a poorly formed eyelid crease. There are traditionally two ways to surgically correct congenital ptosis, levator resection and frontalis suspension (by utilizing a myriad of both autogenous and synthetic materials). Although frontalis suspension is the more utilized surgical option for the correction of congenital ptosis, the complication rate due to the use of synthetic materials is not insignificant. Many surgeons feel that the contour and appearance of the eyelid following levator resection is superior to the frontalis suspension technique. Thus, levator resection for congenital ptosis can be one of the most satisfactory and physiologically normal of the ptosis procedures. Surgery for congenital ptosis can however be unpredictable in outcome. We propose a modified technique for levator resection as well as a newly designed and modified Berke ptosis clamp for levator resection surgery. Postoperative results with the modified technique as well as clamp have been very encouraging with excellent postoperative lid contour and height. The author has utilized this clamp and modified technique in over 350 lid surgeries over the past ten years.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".