Toric Trifocal Intraocular Lens for Refractive Lens Exchange: A Multi-center, Multi-surgeon Large Cohort Study
Bibliographic record
Abstract
Purpose: To assess the outcomes of a novel toric trifocal intraocular lens (IOL) for refractive lens exchange (RLE) in a large series of eyes with corneal astigmatism. Methods: Consecutive eyes that underwent RLE with the PanOptix Toric IOL (Alcon Laboratories, Inc) were included. Outcomes measures included postoperative distance (UDVA), 60 cm intermediate (UIVA), and 40 cm near (UNVA) uncorrected visual acuity, manifest refraction, spherical and defocus equivalent, efficacy and safety indices, and vector analyses of refractive and toric IOL accuracy. Results: A total of 4,933 eyes had a median follow-up of 3 months. UDVA of 20/20 and 20/40 was obtained in 65% and 99% of eyes monocularly and 87% and 100% binocularly, respectively. UIVA at 60 cm of 20/25 and 20/40 was achieved in 70% and 99% of eyes monocularly and in 77% and 100% binocularly, respectively. UNVA at 40 cm of 20/25 and 20/40 was achieved in 85% and 96% of eyes monocularly and in 95% and 100% binocularly, respectively. A total of 67%, 89%, 97%, and 99% of eyes had a SEQ within 0.25, 0.50, 0.75, and 1.00 diopter (D) of intended target ( R 2 = 0.99). Postoperative refractive astigmatism of 0.50, 0.75, and 1.00 D or less was achieved in 86%, 95%, and 98% of eyes. The vector analysis correction index and index of success were 1.04 ± 0.35 and 0.41 ± 0.31 for toric IOL accuracy and 1.00 ± 0.46 and 0.36 ± 0.55 for refractive accuracy, respectively. The 3- and 12-month post-RLE excimer laser enhancement rates were 1.1% (95% CI: 0.8% to 1.4%) and 7.6% (95% CI: 6.9% to 8.3%), respectively. Conclusions: The PanOptix Toric IOL performed well for a wide range of axial lengths and corneal astigmatism in eyes that had RLE. Most patients achieved effective uncorrected binocular near, intermediate, and distance vision for daily functioning. [ J Refract Surg . 2023;39(5):302–310.]
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".