Salvage chemotherapy and autologous stem cell transplant in primary refractory diffuse large B-cell lymphoma: outcomes and prognostic factors
Bibliographic record
Abstract
Patients with primary refractory diffuse large B-cell lymphoma (REF DLBCL: progression on or within 3 months of completion of primary therapy) sensitive to salvage chemotherapy undergo autologous stem cell transplant (ASCT). We conducted a retrospective review of 111 patients with REF DLBCL treated between 1999 and 2007. Primary treatment consisted of cyclophosphamide, adriamycin, vincristine and prednisone (CHOP; 66%) and rituximab with CHOP (R-CHOP; 33%); 14% received involved field radiation. The response rate (RR) to first salvage chemotherapy was 23% (RR by regimen: dexamethasone, cytosine arabinoside and cisplatin [DHAP] 15%, etoposide, Solu-Medrol, cytosine arabinoside and cisplatin [ESHAP] 36%, and gemcitabine, dexamethasone and cisplatin [GDP] 45%); 25% (n = 28) of patients underwent ASCT. With a median follow-up of 5.9 months (range 1-94), the median progression-free and overall survival from primary treatment failure was 3 and 10 months, respectively. Outcomes in patients with REF DLBCL after CHOP or R-CHOP appear equally poor. Second-generation platinum-containing regimens (ESHAP, GDP) may be superior to DHAP in this setting. Novel, prospectively evaluated treatment approaches should be pursued in REF DLBCL.
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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 | 0.001 |
| 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".