Müller Muscle Conjunctival Resection: A Prospective Multicenter Comparison of Eyelid Height at the Immediate, 1-Week, and 3-Month Postoperative Time Points
Bibliographic record
Abstract
PURPOSE: The primary objective was to document change in postoperative marginal reflex distance-1 (MRD1) after Müller muscle conjunctival resection surgery. The secondary objective was to identify predictors of change in postoperative MRD1. METHODS: A multicenter prospective cohort study was performed on patients consecutively recruited for Müller muscle conjunctival resection. MRD1 was measured immediately after Müller muscle conjunctival resection, at the 1-week postoperative visit, and the ≥3-month postoperative visit. MRD1 at the immediate and 1-week time points were compared with MRD1 ≥3 months using descriptive statistics. Predictors of change in MRD1 were analyzed using multivariate regression analysis. RESULTS: A total of 150 patients (226 eyelids) were included. Regarding the immediate to ≥3-month interval, 53.8% of eyelids remained clinically similar (rise or fall ≤0.5 mm), 19.8% rose ≥1 mm, and 26.4% fell ≥1 mm. Regarding the 1-week to ≥3-month interval, 76.5% remained clinically similar, 17.3% rose ≥1 mm, and 6.2% fell ≥1 mm. No variable predicted change in MRD1 over either interval with both clinical and statistical significance. CONCLUSIONS: Immediate postoperative MRD1 is likely to reflect the late result in only 54% of cases. However, 1-week postoperative MRD1 is similar to the late result in 77% of cases and is highly unlikely (6%) to fall by the final visit. No variable significantly impacts change in postoperative MRD1.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.001 |
| 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 teacher head, 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".