Levator Muscle Enlargement in Thyroid Eye Disease-Related Upper Eyelid Retraction
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: To identify levator palpebrae superioris enlargement in thyroid eye disease (TED)-related upper eyelid retraction (ULR). METHODS: Retrospective case-control. Subjects included 50 consecutive patients with unilateral thyroid eye disease-related ULR ≥ 2 mm and no previous eyelid surgery. The contralateral side was used as control. Clinical information was recorded from charts. CT scans were assessed by investigators blinded to the clinical data. A prediction of retracted side was made based on CT scan appearance and on basis of measured levator palpebrae superioris cross-sectional area at 2 defined points. Statistical analysis determined correlation between levator palpebrae superioris size and presence of ULR. The study was approved by the institutional ethics committee. RESULTS: Side with ULR predicted from CT scan review in over 85% of cases. Mean cross-sectional area of levator palpebrae superioris on retracted side was significantly larger than nonretracted side at 2 separate sites. Levator palpebrae superioris area was larger on retracted side compared with nonretracted side in over 85% of subjects. More than 30% of subjects had no enlargement of other extraocular muscles. Only 6% of patients had enlargement of the ipsilateral inferior rectus muscle. CONCLUSIONS: Levator palpebrae superioris enlargement from inflammation or scar is a factor in thyroid eye disease-related ULR. Upper eyelid retraction can be predicted from CT scan appearance in over 85% of cases. Ipsilateral inferior rectus enlargement is rare. Levator palpebrae superioris is the most commonly targeted muscle in thyroid eye disease.
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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 | Observational | high |
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) | 0.000 | 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 it