Rate of retinal tear and detachment after neodymium:YAG capsulotomy
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Bibliographic record
Abstract
PURPOSE: To determine the rate of retinal tear and retinal detachment (RD) after neodymium:YAG (Nd:YAG) laser capsulotomy for posterior capsule opacification (PCO) after cataract surgery. SETTING: Province-wide outpatient and hospital settings, Alberta, Canada. DESIGN: Database study. METHODS: Eleven years of billing records data were collected to assess the rate of retinal tear and/or RD after Nd:YAG laser capsulotomy. A period of 90 days from Nd:YAG was considered the at-risk period, although statistics for 10 years of data were included in the study. Risk was calculated as a rate (%) of retinal tear or RD after Nd:YAG laser capsulotomy. RESULTS: The study comprised 92 654 discrete billing records yielding 73 586 ocular procedures for the analysis of the rate of retinal tear and/or RD after Nd:YAG laser capsulotomy. There were 67 287 Nd:YAG capsulotomies for PCO performed during the study. The 90-day risk for retinal tear after Nd:YAG was 0.21%; 720 retinal tears occurred in the study population at some point after the procedure. The rate of RD was 0.60%, with 2219 RDs occurring at some point after Nd:YAG capsulotomy. The cumulative risk for retinal tear or detachment at 3, 6, 9, and 12 months was 0.21%, 0.30%, 0.36%, and 0.43% and 0.60%, 0.96%, 1.19%, and 1.39%, respectively. The rates of retinal tear and detachment varied significantly between age categories. CONCLUSIONS: There was an increased risk for RD in the first 5 months after Nd:YAG, with a return to a baseline plateau thereafter. As such, the rate of retinal tear after Nd:YAG capsulotomy at 5 months was 0.29%, whereas the rate of RD was 0.87%.
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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 | 0.002 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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