<b>Intracameral Moxifloxacin for Prevention of Endophthalmitis After Cataract Surgery: A Review</b>
Bibliographic record
Abstract
Postoperative endophthalmitis is a rare but devastating complication of cataract surgery, capable of causing severe and permanent vision loss. Although global incidence ranges from 0.023% to 0.43%, the large number of cataract surgeries performed worldwide makes effective prophylaxis essential. Povidone-iodine remains the only preoperative measure supported by Level I evidence, while routine topical antibiotics lack proven benefit and raise concerns about antimicrobial resistance and cost-effectiveness. Strong evidence from randomized trials, large observational studies, and meta-analyses shows that intracameral antibiotics significantly reduce endophthalmitis rates, offering up to an 80% reduction in risk. Among available agents, moxifloxacin provides the broadest antimicrobial coverage, a favourable safety profile, dose-dependent bacterial resistance, and consistent efficacy across millions of cases, including high-risk eyes. Global practice has increasingly shifted toward moxifloxacin, yet it remains off-label in Canada. This review synthesizes current evidence supporting intracameral moxifloxacin as a safe, effective prophylactic option to prevent postoperative endophthalmitis.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| 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) | 0.009 | 0.001 |
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".