Metastatic conjunctival melanoma: a multicentre international study
Bibliographic record
Abstract
BACKGROUND: To reveal clinical findings related to metastatic conjunctival melanoma. METHODS: 10 ophthalmic oncology centres (9 countries and 4 continents) shared data to create a large clinical case series. The main outcome measures were the incidence and cumulative risk of systemic metastasis, study mortality rates and Kaplan-Meier patient mortality after developing conjunctival melanoma metastasis. RESULTS: Of 288 patients, 29 developed metastasis. Five had metastasis at presentation, were American Joint Committee on Cancer (AJCC) cT3-category and exhibited tumour-surface ulceration. Four of five (80%) had melanotic tumours with plical and/or caruncular involvement and died within 1 year. One survived 21 months. In contrast, 24 developed metastases during follow-up (mean 4.6±3.2 years). Their primary tumours were cT1 (n=13/24, 54.1%), cT2 (n=6/24, 25%), cT3 (n=2/24, 8.3%) and 3 cTx (12.5%) at presentation. Death had occurred in 17 patients (n=17/24, 71%) by the end of the study. The cumulative risk of systemic metastasis after treatment was 0.4% (95% CI 0.6% to 2.9%) at 1 year, 8.6% (95% CI 5.1% to 14.3%) at 5 years and 22.3% (95% CI 14.5% to 33.5%) at 10 years. Each increase in AJCC cT category was associated with an 89% higher risk for metastasis (HR=1.89, p<0.001). Among all 29 patients who developed metastasis, those who presented with AJCC cT3 disease were at highest risk (p<0.001). Liver and lung (n=13 each) were the most reported metastatic sites. CONCLUSION: Metastatic conjunctival melanoma was found in 10% of conjunctival melanoma patients. Tumour-specific characteristics including AJCC cT3-category, conjunctival location and surface ulceration were associated with metastatic risk. Survival durations were shorter for those presenting with metastasis.
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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) | 0.000 | 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) | 0.001 | 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".