Effects of Intracameral Cefuroxime on Corneal Endothelial Cell Counts and Its Morphology after Cataract Surgery
Bibliographic record
Abstract
Endophthalmitis is the one of the most important complications after cataract surgery and in case event can cause many symptoms such as severe decrease in eye sight and or even the loss of vision. To employing methods in order to reduce this problem is very important. The purpose of this study was to evaluate the effect of intracameral cefuroxime after cataract surgery on corneal endothelial cell counts and its morphology. 32 eyes of 30 patients underwent endothelial cell count and morphology assessment by ConfoscanIII device before and one month after cataract surgery. All patients underwent cataract surgery by one surgeon and by one method. Intracameral cefuroxime (1mg / 0.1ml) was used as prophylaxis of postoperative endophthalmitis at end of operation. In this study, the rate of corneal endothelial cell loss one month after cataract surgery was 8.4%, the rate of endothelial cells polymegathism before and after cataract surgery did not differ statistically. During follow-up there were no cases of endophthalmitis or other complications. With regard to the importance of the intracameral cefuroxime in a reduction in the rate of endophthalmitis after cataract surgery and that harmful effects on the endothelial cells were not seen, this method can regard as a suitable method for endophthalmitis prophylaxis.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".