Subgroup analysis in RE-MIND2, an observational, retrospective cohort study of tafasitamab plus lenalidomide versus systemic therapies in patients with relapsed/refractory diffuse large B-cell lymphoma (R/R DLBCL).
Bibliographic record
Abstract
7560 Background: Tafasitamab (tafa) + lenalidomide (LEN) demonstrated efficacy in adult patients (pts) with R/R DLBCL ineligible for autologous stem-cell transplant in the pivotal Phase II study L-MIND (NCT02399085) and received accelerated approval in the United States in 2020 and conditional marketing authorization in Europe and Canada in 2021 in this setting. RE-MIND2 (NCT04697160), an observational, retrospective cohort study, compared pt outcomes from L-MIND with matched pt cohorts treated with other NCCN/ESMO recommended therapies. Methods: Methodology for RE-MIND2 has been presented previously. Hypothesis-generating analyses were conducted for pt subgroups of number of extranodal sites (ENS) (0–1 vs ≥2) and elevated lactate dehydrogenase (LDH) (yes vs no) in matched cohorts of pts receiving tafa + LEN vs systemic therapies pooled (STP), polatuzumab vedotin + bendamustine + rituximab (pola-BR), rituximab + LEN (R2), and CD19 CAR-T therapies (CAR-T). The primary endpoint was overall survival (OS). Results: Of 3,454 pts enrolled, 961, 106, 106, and 149 were treated with STP, pola-BR, R2, and CAR-T, resulting in 76, 24, 33, and 37 matched pairs for pts receiving tafa + LEN, respectively. Hazard ratios (HR) for OS show a trend toward favoring tafa + LEN in most pt subgroups (Table). Conclusion: These analyses suggest that tafa + LEN may be associated with improved OS vs selected systemic therapies for certain pts with high-risk disease and may further inform physicians’ treatment choices for pts with R/R DLBCL. These analyses are not powered for statistical comparison; small sample sizes in some subgroups result in wide confidence intervals (CI) and so results must be interpreted with caution. Data for other treatment cohorts, pt subgroups, and endpoints will be presented. Funding: MorphoSys AG. Clinical trial information: NCT04697160. [Table: see text]
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".