A case report on acute cystoid macular edema days after YAG laser capsulotomy
Bibliographic record
Abstract
INTRODUCTION AND IMPORTANCE: We report a unique case of cystoid macular edema occurring immediately after Neodymium-doped yttrium aluminum garnet (Nd: YAG) laser capsulotomy. CASE PRESENTATION: A 62-year-old gentleman began seeing wavy lines and a black dot located in his central visual field two days post-YAG. Diagnosis of cystoid macular edema was confirmed by Optical Coherence Tomography (OCT) and was treated with prednisolone acetate eye drops four times a day and Bromfenac eye drops once daily. One month post-treatment, the vision improved to a corrected distance visual acuity (CDVA) of 20/70, with the macula appearing normal and the cystoid macular edema slowly improving. There was some macular sheen present. The medication was changed to Difluprednate twice daily along with previously prescribed Bromfenac once daily, as a stronger steroid was required. On the two-month follow-up, CDVA improved to 20/25, and the CME had resolved. The patient was advised to continue prescribed medications until finished and to repeat OCT in a month. OCT was done three months post-operatively and was essentially normal with some residual perifoveal edema. CLINICAL DISCUSSION: This case highlights the possibility of CME occurring immediately after YAG laser capsulotomy, resulting in sudden decrease of vision. CME is more common after cataract surgery than after YAG, and this appears to be a unique case of immediate CME post-YAG laser capsulotomy. CONCLUSION: Our experience suggests that colleagues should consider NSAIDS pre- and post- YAG laser capsulotomy to prevent CME. This case highlights the importance of following appropriate management for CME regardless of timeframe of presentation to ensure results.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".