Largest case series of Latin American eyelid tumors over 13-Years from a single center in Sao Paulo, Brazil
Bibliographic record
Abstract
PURPOSE: Malignant lesions of the eyelid are the most common eye cancers. Although rarely lethal, late diagnosis can lead to serious visual morbidity. Definitive diagnosis of neoplastic lesions is pathological. Indications and types of eyelid lesions in a single high-volume ophthalmic reference center in Sao Paulo, Brazil, were analyzed. METHODS: The surgical pathological reports of patients who underwent eye removal procedures between January 2000 and December 2012 were retrieved from the electronic database of the Ophthalmology Department and retrospectively reviewed. Data regarding the final anatomopathological diagnosis, sex, and age were analyzed via the χ2 test with Yates' correction. RESULTS: Of the 1,113 eyelid tumors resected over the 13-year study period, 324 (29%) lesions were malignant. The most prevalent lesions were basal cell, squamous cell, and sebaceous gland carcinomas. The median ages of patients (females, n=165, 51%; males, n=159, 49%) with a diagnosis of basal cell, squamous cell, and sebaceous gland carcinomas were 65, 75, and 70 years, respectively. CONCLUSION: This is the largest retrospective cohort analysis of eyelid tumors in a Latin American population. These findings are in agreement with those from large centers in other countries and regions.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".