Successful Treatment of Posttransplant Lymphoproliferative Disorder in a Renal Transplant Patient by Autologous Peripheral Blood Stem Cell Transplantation
Bibliographic record
Abstract
Posttransplant lymphoproliferative disorder (PTLD), a well recognized complication of organ transplantation, comprises a wide spectrum of heterogeneous lymphoid proliferations ranging from self-limiting mononucleosis through aggressive monoclonal non-Hodgkin's lymphoma (NHL). There has been marginal success in treating PTLD using a number of treatment modalities, including combination chemotherapy. There have been few reports of the use of high dose chemotherapy with stem cell rescue as a treatment for PTLD. We report a renal allograft recipient who developed PTLD of the diffuse large cleaved B cell, NHL type. Reduction of immunosuppression was initially effective, however the patient relapsed, and was treated successfully with CHOP chemotherapy. Two years later he again relapsed and was treated with high dose melphalan followed by autologous peripheral blood stem cell transplantation (PSCT). The patient has remained in complete remission for 4 years with no major organ toxicities and a functioning renal allograft on minimal immunosuppression. This case illustrates a potential role for high dose chemotherapy with stem cell transplantation for the treatment of PTLD.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".