Autologous transplantation improves survival rates for follicular lymphoma patients who relapse within two years of chemoimmunotherapy: a multi-center retrospective analysis of consecutively treated patients in the real world
Bibliographic record
Abstract
Although chemoimmunotherapy improves outcomes for patients with follicular lymphoma (FL), approximately 20% of patients experience early disease progression within two years of treatment and subsequently poor median survival. We conducted a retrospective study to evaluate survival rates of patients with early relapse who were treated with or without autologous transplantation. Of 517 patients with FL and who received chemoimmunotherapy, 152 relapsed and survived a minimum of four months after progression, including 84 (55.3%) with early relapse ≤2 years following initial therapy and 68 (44.7%) with later relapse. Five-year survival was superior for patients who received autologous transplantation compared to non-transplanted patients within the early relapse group (85.4% vs 57.9%, p = .001), but not within the late relapse group (p = .64). Given the limitations of a retrospective study, our study may suggest that the use of autologous transplantation for FL patients who relapse within two years of initial chemoimmunotherapy is associated with improved survival.
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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 | 0.000 | 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) | 0.001 | 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".