Incidence of postoperative endophthalmitis after immediate sequential bilateral cataract surgery
Why this work is in the frame
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Bibliographic record
Abstract
PURPOSE: To determine a best estimate of the incidence of endophthalmitis after immediately sequential bilateral cataract surgery (ISBCS) and assess the benefit of prophylactic intracameral antibiotics. SETTING: Eye Foundation of Canada, Toronto, Ontario, Canada. DESIGN: Cohort study. METHODS: A detailed literature search was performed to obtain recently reported frequencies of postoperative endophthalmitis with or without the use of prophylactic intracameral antibiotics. Members of the International Society of Bilateral Cataract Surgeons were surveyed. The data were collected to determine the results of unilateral and bilateral cataract surgeries performed by experienced bilateral cataract surgeons. The data were statistically analyzed. RESULTS: In recently published European prophylactic intracameral cephalosporin studies, the incidence of postoperative endophthalmitis after unilateral cataract surgery weight-averaged to 1 in 331 (0.3%) without prophylactic intracameral antibiotics and to 1 in 1977 (0.05%) with prophylactic intracameral antibiotics, whereas studies in the United States using only topical antibiotics reported infection rates as low as 0.028%. Four cases of bilateral simultaneous endophthalmitis after ISBCS have been reported in the past 60 years, all with breaches of aseptic protocol. No bilateral simultaneous endophthalmitis occurred in the 95 606 ISBCS cases collected. The overall rate of postoperative endophthalmitis after ISBCS was 1 in 5759. Infection rates were significantly reduced with intracameral antibiotics to 1 in 14 352 cases. CONCLUSIONS: The risk for postoperative endophthalmitis in ISBCS appears to be at least as low as and possibly lower than published rates for unilateral surgery, particularly when recommended precautions are taken. Intracameral antibiotics significantly reduced the risk for postoperative endophthalmitis.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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