Three Decades of Corneal Transplantation: Indications and Patient Characteristics
Bibliographic record
Abstract
PURPOSE: To review the indications and patient characteristics for penetrating keratoplasty (PKP). METHODS: Retrospective review of records at the Pathology Service, Department of Ophthalmology, University of Toronto from 1964 to 1997. RESULTS: The 6,222 records were reviewed. The leading indications for PKP were regraft, keratoconus (KC), pseudophakic bullous keratopathy (PBK), Fuchs' dystrophy, viral infections, and trauma, in that order. During the second half of the 1980s, PBK replaced KC as the leading indication for transplantation. The average age of patients increased from 49 (+/-19) years during the second half of the 1960s to 63 (+/-20) years at the first half of the 1990s. Gender differences (M/F ratio) were significant for KC, viral keratopathy, trauma, PBK, aphakic bullous keratopathy (ABK), edema of unspecified etiology, interstitial keratitis, rheumatoid arthritis, and Fuchs' dystrophy. Diagnostic category differences between all patients for PKPs and regrafts were significant for autoimmune keratolysis, congenital opacities, PBK, ABK, edema of unspecified etiology, scarring, Fuchs' dystrophy, and KC. CONCLUSION: Indications are in accordance with the literature with the exception of regraft, which was higher. An increase in the average age of patients corresponded with the PBK epidemic. The high male-to-female ratio among patients with KC was different from that previously reported for the prevalence of this condition. Sex distribution among patients with PBK and ABK showed a female predominance. Differences in the underlying disease distributions between regrafted patients and the rest of the series coincide with prognostic classifications for PKP.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".