Ultrasound-induced corneal incision contracture survey in the United States and Canada
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 ascertain factors associated with corneal incision contracture (wound burn) secondary to phacoemulsification in the United States and Canada. SETTING: John A. Moran Eye Center, University of Utah, Salt Lake City, Utah, USA, and University of Toronto, Toronto, Ontario, Canada. DESIGN: Cross-sectional study. METHODS: Through state and provincial societies, members were queried as to cataract surgery practices during the previous 3 years as well as the specifics associated with each case of wound burn, if any, encountered during that period. RESULTS: Eight hundred forty-two cataract surgeons reported on 920 095 surgeries and 341 wound burns (raw incidence 0.037%). After a multivariate analysis, the wound burn incidence was significantly inversely associated with the surgeon’s surgical volume (45% decrease per doubling of volume; 95% confidence interval, 38%-55%; P<.001), the surgical approach (P<.001), and the ophthalmic viscosurgical device (OVD) used (P=.004). Machine or ultrasound modality used, region of the U.S. or Canada, and incision size were not related to wound burn. CONCLUSION: Phacoemulsification-induced wound burn can be reduced by experience, by the approach used in nucleus disassembly, by choice of OVD, and most important, by not using ultrasound when the anterior chamber is filled with OVD. Financial Disclosure: Dr. Braga-Mele is a consultant to Abbott Medical Optics, Inc., Alcon Laboratories, Inc., and Bausch & Lomb. Dr. Olson has been a consultant to Abbott Medical Optics, Inc., Becton, Dickinson and Co., and Allergan, Inc. He has received grant support from Abbott Medical Optics, Inc. and Allergan, Inc. No other author has a financial or proprietary interest in any material or method mentioned.
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.
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 | 0.003 | 0.003 |
| 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 | 0.000 |
| 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