Intraocular lens choices for patients with glaucoma
Bibliographic record
Abstract
PURPOSE OF REVIEW: To discuss the unique functional and structural changes in glaucoma and the impact on intraocular lens (IOL) selection. RECENT FINDINGS: Glaucoma is a common ocular disease. Functional and structural changes associated with glaucoma require special consideration in the patient who is undergoing cataract/IOL surgery. Decreased contrast sensitivity found in glaucoma may be enhanced by the use of aspheric IOLs. Small pupils and weakened zonules necessitate meticulous surgical technique and increase the risk of IOL dislocation, as does anterior capsular contraction. Posterior capsular opacification is a common postoperative complication and may be related to IOL material and design. Both anterior chamber depth and axial length may change in patients who have had trabeculectomy and should be considered in the preoperative plan. Multifocal IOLs may afford spectacle independence for patients; however, there is a paucity of data for their use in concurrent ocular disease. SUMMARY: Although there are challenges in performing cataract surgery in patients with glaucoma, excellent outcomes may be obtained with proper preoperative planning, meticulous intraoperative technique, and appropriate selection of IOL design.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".