How we treat patients with metastatic uveal melanoma
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Uveal melanoma is the most prevalent and aggressive intraocular malignancy affecting adults. Compared with cutaneous melanoma, uveal melanoma has distinct pathogenesis and molecular characteristics. Not surprisingly, it derives limited benefits from checkpoint inhibitors. Until recently, no systemic therapy had impacted survival outcomes for this patient population. Tebentafusp, a T-cell receptor-based molecule, is the first US Food and Drug Administration/European Medicines Agency-approved systemic therapy to improve the survival outcomes for uveal melanoma patients expressing HLA-A∗02:01. Only 45%-50% of this patient population will express the HLA-A∗02:01, however, and therefore are eligible to receive this novel treatment. Moreover, global access to tebentafusp is limited, and there are no guidelines to aid clinicians in decision-making regarding treatment. In this review, we outline our experience as Canada's largest tertiary referral centre in managing metastatic uveal melanoma patients and provide a comprehensive overview of the currently available treatment options, challenging scenarios, and ongoing clinical trials for patients with metastatic uveal melanoma.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 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) | 0.000 | 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 it