PROLONGED MOLECULAR AND CLINICAL REMISSIONS IN FOLLICULAR LYMPHOMA PATIENTS TREATED WITH HDT/ASCT AND COMBINATION IMMUNOTHERAPY WITH RITUXIMAB AND INTERFERON α
Bibliographic record
Abstract
melphalan + ASCT) in 1 (2.1%).Thirty-four 34 (70.8%)patients underwent 1 line of therapy prior to R-DHAP/Ox, 11 (22.9%)underwent 2 lines of therapy, and 3 (6.3%)had 3 or more lines before R-DHAP/Ox.The median TTNT from first-line was 14.3 months (range 10.6-19.4).With a median follow-up of 66 months, the 5-year OS was 73.1% (95% CI, 61-85%).Among the 34 patients that underwent ASCT, the 5-year OS was 84% (95% CI, 72-98%).Time to next treatment (TTNT) after DHAP/Ox was 30.9 months (95% CI, 18-47%).Stem cell collection failure was reported in 6 cases (12.5%).Four cases (8.3%) of transformation to DLBCL and 3 (6.2%)secondary malignancies (2 myeloid disorders, 1 bladder carcinoma) were reported. Conclusions:In this population of high-risk, early relapsing FL, R-DHAP/Ox +/-ASCT was found to be active, with a TTNT significantly longer than that experienced following first-line therapy.This population had very similar FLIPI risk scores compared to the LymphoCare study population but appears to have experienced better survival outcomes.Late events continue to occur, and cure appears unlikely.Prospective studies of R-DHAP/Ox +/-ASCT are warranted in this high-risk FL population.
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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) | 0.001 | 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".