Treatment of post-blepharoplasty lower lid retraction by free tarsoconjunctival grafting
Bibliographic record
Abstract
BACKGROUND: Blepharoplasty is probably the most commonly performed facial cosmetic procedure. Despite attempts to prevent its occurrence, post-blepharoplasty lower eyelid malposition with inferior scleral show and corneal exposure can occur, particularly with non-ophthalmologist surgeons. Since a repair must oppose the force of gravity and recurrent scarring, it is often difficult to achieve functional and esthetically pleasing surgical correction. A variety of authors have documented methods to correct post-blepharoplasty lower eyelid malposition. A review of such methods is presented. This is the first paper to analyze results from free tarsoconjunctival grafting specifically in cases of post-blepharoplasty lower lid retraction. METHODS: The present case-series report attempts to examine the efficacy of free tarsoconjuctival grafting in patients with post-blepharoplasty lower lid malposition. Ten patients, ranging in age from 48-75 years (mean = 58.7 years), presented with varied amounts of inferior scleral show and ocular symptoms, including epiphora, dry eye and ocular irritation. Varied amounts of lagophthalmos and superficial punctate keratitis were detected in five eyes and ten eyes, respectively. As described, each patient (20 eyes) underwent bilateral free conjunctival grafting from upper to lower eyelids. RESULTS: After a follow-up interval of 3-32 months (mean = 15 months), all patients experienced a decrease in inferior scleral show and symptomatology. The decrease in inferior scleral show ranged from 0.75 to 3 mm, with an average decrease of 1.61 mm; symptoms of epiphora, dry eye or discomfort persisted in only four eyes. The amount of lagophthalmos and superficial punctate keratitis also decreased postoperatively. Side effects were minimal. INTERPRETATION: We conclude that in the specific case of post-blepharoplasty lower lid retraction, free tarsoconjunctival grafting is both 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
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Other design | low |
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".