Recurrence of trichiasis: A long-term follow-up study in the Sultanate of Oman
Bibliographic record
Abstract
BACKGROUND: The prevalence of long-term trichiasis recurrence following tarsal rotation and electro-epilation procedures has not been determined. A non-concurrent prospective study of surgical cases of trichiasis was therefore undertaken in Oman. METHODS: A sample of 603 surgical cases of trichiasis (approximately half tarsal rotation and half electro-epilation) was followed for an average of 3.1 years to determine recurrence. Recurrence was defined as either mild (<5 lashes touching the globe) or severe (5 or more lashes touching the globe). RESULTS: Overall, 56% (95% confidence interval of 50.6%-61.0%) of all surgical cases recurred; ranging from 61.8% of tarsal rotation patients to 50.6% of electro-epilation patients. Severe recurrence was detected among 27% of tarsal rotation patients and 10% of electro-epilation patients. Recurrence was associated with female sex, residence in a high-risk region, and time since surgery. DISCUSSION: The risk of recurrence after electro-epilation and bilamellar tarsal rotation surgery is high; strategies that account for recurrence need to be introduced.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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 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".