Diagnosis and management of concurrent metastatic melanoma and chronic myelomonocytic leukemia
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
While the association between chronic lymphocytic leukemia (CLL) and a higher incidence of melanoma is well documented, the diagnosis of concurrent high-risk chronic myelomonocytic leukemia (CMML) and metastatic melanoma (MM) has not previously been described. Moreover, the treatment of MM and CMML differ greatly in the mechanism of action of their corresponding antineoplastic therapies: treatment of MM frequently involves immune checkpoint inhibitors (ICI), while patients with CMML receive myelosuppressive agents. Simultaneous management of these malignancies can be nuanced due to the potential impact of one treatment's constituents on the activity of the other and the broad and nonoverlapping array of potential adverse effects of these agents. Here, we describe the clinical course of a patient who was diagnosed with concurrent MM and CMML and our approach to the challenging balance of delivering ICI concurrently with the hypomethylating agent azacitidine and the BCL-2 inhibitor venetoclax.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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