Hematopoietic Stem Cell Transplantation in Patients with Lymphomatoid Granulomatosis: A European Group for Blood and Marrow Transplantation Report
Bibliographic record
Abstract
Lymphomatoid granulomatosis (LG) is a very rare, Epstein-Barr virus-associated lymphoproliferative disorder of B cells. Prognosis is poor, particularly after relapse and no curative treatment exists. We report the results of high-dose therapy and autologous stem cell transplantation (ASCT) or reduced-intensity conditioning and allogeneic stem cell transplantation (alloSCT) in patients with multiply relapsed LG. A European Group for Blood and Marrow Transplantation survey identified 10 patients who had received 9 ASCT and 4 alloSCT. All patients had active disease at the time of transplantation. With a median follow-up of 5.1 (range, 1.4 to 6.3) years, 6 patients are alive and disease-free. Two ASCT patients died of septicemia early after transplantation, and 1 committed suicide after being in continuous complete remission 19 months after ASCT. Another patient allografted 4 years after ASCT remained disease-free but died of severe graft-versus-host disease 3 months after alloSCT. High-dose therapy followed by ASCT and alloSCT are effective therapeutic options and should be considered in all patients with refractory and multiply relapsed LG.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 | 0.000 |
| 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".