Challenges in managing chronic kidney disease with simultaneous renal transplant immunosuppressant induced buccal squamous cell carcinoma and gastric Burkitt's like lymphoma: A case report
Bibliographic record
Abstract
Immunodeficiency is associated with higher cancer incidence, especially in transplanted patients; however, it is unknown whether there is a link between immunodeficiency and the development of multiple primary malignancies. Immunosuppressive drugs may either indirectly potentiate the effect of carcinogens or directly damage the DNA. Skin cancers are the most common malignancies diagnosed in renal transplant recipients. Management of immunosuppression in recipients of transplants who are living with cancer is complex and challenging. A concerted approach between transplant professionals, oncologists, and allied health professionals is therefore needed to ensure optimal care for transplant recipients who are developing immunodeficiency-induced malignancies. Here, we report a challenging case that presented with two simultaneous malignancies (buccal squamous cell carcinoma and gastric Burkitt's-like lymphoma) after nine years of being on immunosuppressants after the kidney transplant. The patient tolerated his cancer treatments with some grade II-III toxicities and is currently a two-year disease-free survivor. Focusing on the curative intent approaches for the two cancers with the adjustment of the immunosuppressant medications, besides the complications associated with these radical treatments, is worthy of being presented to the transplant and oncology teams globally.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".