Synchronously diagnosed lymph nodal collision tumor of malignant melanoma and chonic lymphocytic leukemia/small lymphocytic lymphoma: case report
Bibliographic record
Abstract
Synchronous composite tumors have been described but are uncommon. Moreover, simultaneous occurrence of synchronous tumors in the same tissue or organ is even less common. We report a case of chronic lymphocytic leukemia (CLL)/small lymphocytic lymphoma and malignant melanoma (MM) occurring synchronously in the same lymph node. Several cases of an association between cutaneous malignancies and lymphoproliferative disorders have been reported. Some of which included CLL and MM, occurring in the same patient often CLL after MM. The risk of having CLL after MM has been reported to be increased. Various genetic and environmental etiologies have been postulated, but have as yet not been proven. To our knowledge this is the first time that synchronous occurrence of these two malignant processes in the same tissue is described. In this case it is important that the melanoma was recognized in the excised lymph node, as this finding had much more critical treatment and long term survival consequences.
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.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".