Rates of Reoperation in Duane Retraction Syndrome
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Bibliographic record
Abstract
Purpose To investigate the types of strabismus surgeries performed and the reoperation rate in patients with Duane Retraction Syndrome (DRS). Design Retrospective cohort analysis Methods An insurance claims dataset was used to identify patients diagnosed with DRS between 2007 and 2021. We recorded the type of strabismus surgery performed and the timing and frequency of reoperations. The hazard ratios (HR) for reoperation were estimated according to the surgical methods using Cox regression analysis. Results Of the 9435 patients diagnosed with DRS, 1023 (10.8%) underwent at least one strabismus operation. The median age at surgery was 5.0 years, and patients were followed for an average of 3.8 ± 3.0 years after their initial strabismus surgery. Most of the surgeries only involved horizontal muscle(s) (n = 734 [71.7%]). However, some patients underwent surgeries on vertical muscle(s) (n = 132 [12.9%]), vertical muscle(s) with transposition (n = 102 [10.0%]), and horizontal muscle with transposition (n = 51 [5.0%]). The estimated 5-year rate of reoperation was 18.2% (95% CI 15.0% - 22.2%). Compared to surgery on horizontal muscle(s) only, vertical muscle surgery (HR, 2.01; 95% confidence interval, 1.30-3.11; p=0.002) and vertical muscle surgery coupled with transposition (HR, 1.79; 95% confidence interval, 1.06-3.02; p=0.03) had an increased risk of reoperation. Conclusion Strabismus surgery on one or more horizontal muscles is the most common type of strabismus surgery performed on patients with DRS. Approximately 1 in 7 patients with DRS who had strabismus surgery underwent a reoperation. Patients who underwent vertical muscle surgery had a higher risk of undergoing a reoperation.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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