Autologous hematopoietic cell transplantation of mantle cell lymphoma: emerging trends
Bibliographic record
Abstract
PURPOSE OF REVIEW: The management of mantle cell lymphoma has changed significantly with the adoption of immunochemotherapy and dose intensive treatment strategies in specific patient populations. Randomized controlled trials have established the role of rituximab-based treatments and autologous stem cell transplantation as standards of care. Novel therapeutics are also being integrated into these treatment strategies. RECENT FINDINGS: Rituximab-based primary treatment has been shown to significantly improve complete remission rates. The addition of autologous stem cell transplantation has also improved progression-free survival (PFS) although data regarding potential overall survival (OS) benefits are not clear. Complete remission and minimal residual disease (MRD) negative disease states are predictive of outcome. Rituximab maintenance post SCT has also been shown to significantly improves PFS and OS. SUMMARY: Current therapeutic standards in mantle cell lymphoma have clearly improved patient outcomes with improvements in remission rates, PFS, and OS. Autologous stem cell transplant (ASCT) as a consolidation strategy of primary treatment has improved outcomes, and the incorporation of novel drugs into frontline therapy may further improve the efficacy of the treatment. MRD-driven strategies may ultimately define appropriate patient subsets towards ASCT or alternative approaches.
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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) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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".