Late treatment mortality and secondary cancers after autologous stem cell transplant for relapsed or refractory Hodgkin lymphoma (HL)
Bibliographic record
Abstract
8016 Background: Late treatment-related mortality and second cancers have an important influence on the long-term outcome of patients (pts) with HL. The incidence of treatment failure and causes of death were evaluated in pts with advanced HL receiving high-dose therapy and ASCT, to understand the impact of late events on overall survival (OS). Methods: From Dec 1986 to Nov 2005, 323 pts with relapsed/refractory HL after primary chemotherapy (plus radiation [RT]: 32%) received salvage chemotherapy to best response, followed by etoposide 60 mg/kg day -4 and melphalan 160–180 mg/m2 day -3 supported by autologous bone marrow (46%), mobilized peripheral blood stem cells (49%) or both (5%)on day 0; 24% received involved field RT post-ASCT. Risk of treatment failure and second cancer was estimated using competing risks methods. Results: Patient Characteristics: male: 61%; median age 33 years (range16–67). Number of salvage regimens pre-ASCT: 1: 72%; 2: 25%. Disease status post-salvage chemotherapy: CR 28%, PR 66%. After a median follow-up of 4.7 years post-ASCT (range 1–17), 174 pts (54%) have experienced treatment failure (relapse or treatment related death) and 154 pts (48%) have died, 75% following relapse and 20% from toxicity without relapse. Of the 30 deaths without relapse, 30% occured >5 years post-ASCT. Failure free survival at 3 and 10 years is 50% (95% CI, 44–55%) and 40% (33–46), and overall survival is 68% (63–73) and 39% (33- 46), respectively. There have been 29 second cancers (17 AML/MDS, 12 solid tumors) in pts alive without relapsed HL. The probability of a second cancer is 4.9% (2.8–7.8) at 3 years and 12% (8–17%) at 10 years. The hazard rates for second malignancy, leukemia and solid tumors for each 10-year age increment are 1.9 (p=0.0001), 1.9 (0.001) and 1.8 (0.03), respectively. Only 4 pts have relapsed beyond 5 years post- ASCT but the cumulative incidence of treatment-related death (from toxicity or second cancers) continues to increase from 9% (6–13) at 3 years to 15% (11–20) 10 yrs post-ASCT. Conclusions: In this single-institution series of uniformly treated patients with relapsed/refractory HL, late relapse of disease is uncommon, but late toxicities have a significant and ongoing impact on failure-free survival. No significant financial relationships to disclose.
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 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 | 0.001 |
| 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".