Autotransplants for histologically transformed follicular non‐Hodgkin's lymphoma
Bibliographic record
Abstract
Histological transformation from a follicular non-Hodgkin's lymphoma (NHL) to a higher grade lymphoma carries a poor prognosis despite treatment with aggressive anthracycline-based chemotherapy. We retrospectively analysed 35 patients with histologically transformed NHL who underwent high-dose therapy and autotransplantation at our centre. Patients up to 65 years old were eligible for autotransplant at the time of transformation or with subsequent relapses, provided that chemosensitivity to a salvage regimen could be demonstrated. All patients received high-dose therapy [etoposide 60 mg/kg, melphalan 160 mg/m2 and fractionated total body irradiation (TBI) 12 Gy] followed by unpurged autologous bone marrow or blood stem cell rescue. Most patients (69%) had advanced stage disease (stages 3--4) at transformation and bone marrow involvement was common (49%). Twenty-six (74%) patients were in partial remission (PR) and nine (26%) in complete remission (CR) at the time of transplant. Median duration from transformation to transplant was 10.9 months (range, 5.2 months--4.6 years). At a median follow up of 52 months after autotransplant, 19 (54%) patients had died. Causes of death were progressive lymphoma in nine patients (26%), treatment-related mortality (TRM) in seven (20%) and myelodysplasia in three (8%). Only five patients in our cohort were > 60 years old, but all died as a result of treatment-related causes (mostly pulmonary infections). Five-year overall survival and progression-free survival from time of transplant were 37% and 36% respectively. Using multivariate analysis of factors including gender, age, stage, extranodal disease, disease bulk, B symptoms, number of prior therapies, relapse status and CR/PR status at transplant, only advanced age significantly predicted for survival from autotransplant (P = 0.002). Our survival data are comparable to previous reports of autotransplantation for transformed NHL and suggest a benefit over standard chemotherapy alone in selected patients. However, our high TRM cautions the use of aggressive therapy, including TBI, in patients over 60 years old.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".