Novel regimens prior to autologous stem cell transplantation for the management of adults with relapsed/refractory non-Hodgkin lymphoma and Hodgkin lymphoma: alternatives to BEAM conditioning
Bibliographic record
Abstract
High-dose therapy (HDT) followed by autologous stem cell transplant (ASCT) is the standard treatment for relapsed or refractory non-Hodgkin and Hodgkin lymphoma. Until recently, carmustine, etoposide, cytarabine and melphalan (BEAM) was the most commonly used conditioning regimen in this setting, given its acceptable efficacy and tolerability. Despite reasonable success with BEAM, carmustine is associated with a number of acute and late toxicities. Moreover, recent supply and cost issues for this agent have created an urgent need for alternative conditioning regimens. As such, etoposide and melphalan (VP16/MEL) or busulfan, cyclophosphamide, and etoposide (BuCyE) are currently being used with limited success. A number of novel conditioning regimens that replace carmustine with other agents are under investigation, which may provide effective alternatives to BEAM. In considering novel agents to replace carmustine, bendamustine may provide the best alternative, as demonstrated by the results of a number of phase II, multicenter, controlled studies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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; both teacher heads agree on what is shown here.
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".