Rate of Endophthalmitis After Cataract Surgery in Quebec, Canada, 1996-2005
Bibliographic record
Abstract
OBJECTIVE: To estimate the annual incidence of endophthalmitis after cataract surgery from January 1, 1996, through December 31, 2005, in Quebec, Canada. METHODS: Deidentified data were obtained from an outpatient physician billing database (Quebec State Control for Health Insurance [RAMQ]) with regard to all cataract surgical procedures performed from January 1, 1996, through December 31, 2005, in Quebec. For this cohort, records of an International Classification of Diseases, Ninth Revision (ICD-9) code for endophthalmitis during the same years were requested from 2 sources: the RAMQ outpatient database and an inpatient hospital discharge database (Maintenance and Exploitation of Data for the Study of Hospitalized Patients [MED-ECHO]). Endophthalmitis after cataract surgery was assumed if it occurred within 90 days of the surgery. Risk factors were examined using chi(2) tests and logistic regression. RESULTS: After exclusions, 490 690 cataract surgical procedures were performed from January 1, 1996, through December 31, 2005. A total of 754 cases of endophthalmitis occurred within 90 days after surgery for an overall incidence rate of 1.5 per 1000 surgical procedures (95% confidence interval [CI], 1.4-1.7). Factors associated with endophthalmitis included age of 85 years or older (odds ratio [OR], 1.34; 95% CI, 1.06-1.70), male sex (1.44; 1.24-1.66), later year of surgery (0.94; 0.92-0.97), and region of cataract surgery, because regions 6 (2.21; 1.91-2.55) and 9 (4.00; 2.48-6.43) had higher rates compared with all other regions. CONCLUSION: Reasons that explain the apparent decrease in endophthalmitis, especially in 2005, should be explored and further research performed to understand why certain patients and regions have higher risks of endophthalmitis after cataract surgery.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".