A Rare Case of Recurrent Cutaneous Non-Hodgkin’s Lymphoma in the Extremity: Long-Term Follow-Up and Review of the Literature Written With the Assistance of ChatGPT
Bibliographic record
Abstract
Cutaneous involvement of chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL) is uncommon. We report on a 71-year-old male with a history of CLL of the skin in the distal extremities. The patient presented with eruptions of new lesions on the toes of his feet bilaterally, causing significant pain that limited his mobility. Cutaneous involvement of CLL is a rare presentation, and management recommendations are largely based on case reports with limited follow-up. Furthermore, assessing the duration of response, response rates, and correct sequencing of treatment is difficult due to variable use and doses of treatment. The case was treated in 2001 when newer systemic treatments were not available. Therefore, the results can also be directly related to local treatments. Based on a literature review and this case, this report provides insight into the benefits and risks of local treatment for cutaneous involvement of CLL in the extremities and how radiation can be sequenced with other options such as surgical excision and chemotherapy.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".