The conditional survival analysis of relapsed DLBCL after autologous transplant: a subgroup analysis of LY.12 and CORAL
Bibliographic record
Abstract
The conditional survival of patients after frontline therapy for diffuse large B-cell lymphoma (DLBCL) approaches that of the general population once patients have survived disease free for 2 years. We sought to determine the conditional survival of patients among patients with relapsed de novo DLBCL successfully undergoing an autologous stem-cell transplant (ASCT) after first relapse. A total of 478 patients with de novo DLBCL, relapsed after 1 treatment from the Collaborative Trial in Relapsed Aggressive Lymphoma (CORAL) and LY.12, were included. Patients were followed prospectively after ASCT for a median of 5.3 and 8.2 years, respectively. Individual patient data were analyzed for event-free survival (EFS) and overall survival. Standardized mortality ratios (SMRs) were estimated using French and Canadian life tables. The EFS estimates declined with each year of follow-up after ASCT and were 50.1% (95% confidence interval [CI]: 43.7% to 56.3%) and 43.4% (95% CI: 36.7% to 49.9%) at 5 years in CORAL and LY.12, respectively. The rate of death stabilized once patients achieved at least 4 years of EFS. Compared with the age- and sex-matched population, the SMR was significantly higher until 5 years after ASCT, when values were no longer statistically significant. Patients undergoing ASCT for relapsed DLBCL continue to have a higher rate of death at least until they have survived event free for 5 years. These observations can help to determine endpoints for future clinical trials in this population and for patient counseling. This trial was registered at www.clinicaltrials.gov as #NCT00078949.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".