Exposure-adjusted adverse events (AEs) comparing blinatumomab to standard of care (SOC) chemotherapy in patients (pts) with relapsed/refractory B-precursor acute lymphoblastic leukemia (r/r ALL) from a randomized phase III study.
Bibliographic record
Abstract
7032 Background: Blinatumomab (blin), a bispecific T-cell engaging antibody construct, has shown improved overall survival vs SOC in pts with r/r ALL in a randomized phase 3 study ( Haematologica 2016;101:S129). To better evaluate safety, we compared AEs of blin vs SOC after adjusting for varying treatment exposure times. Methods: Adults ≥ 18 yrs with r/r ALL (refractory, 1st relapse < 1 yr, ≥ 2 relapses or relapse after transplant) were randomized to receive blin or SOC (1 of 4 predefined regimens). Blin was dosed by continuous infusion (4 wks on/2 wks off) for up to 5 cycles (9 µg/d on d1−7 in cycle 1, then 28 µg/d); up to 4 maintenance cycles (4 wks on/8 wks off) were allowed for ≤ 12 mo. Exposure-adjusted (exp-adj) event rates were calculated as no. of events*100/total exposure time (Table). Results: Median (range) no. of cycles were 1 (1−4) for SOC and 2 (1−9) for blin. The highest exp-adj rates (per 100 pt-yrs) were for pyrexia (507 SOC vs 376 blin), anemia (987 vs 229), thrombocytopenia (750 vs 126) and neutropenia (351 vs 121), all lower in blin. Febrile neutropenia (365 vs 93) and infections (1216 vs 436) were also both lower in blin (p < 0.0001). Exp-adj rates for neurologic events were 743 SOC vs 472 blin, with median time (range) to onset of 7 (1−43) d and 7 (1−190) d, respectively, and gr ≥ 3 cytokine release syndrome (CRS) rates were 0 SOC vs 10 blin. The most frequent AEs in both cycles 1 and 2 were pyrexia, nausea and anemia in both arms; CRS events decreased in the blin arm between cycles 1 and 2 (14% vs 2%). Most fatal AEs were related to infection in both arms. Conclusions: Here blin showed an AE profile consistent with that previously reported for r/r ALL, including similar rates of manageable CRS and neurologic events. Exp-adj AE rates were generally higher in SOC vs blin, including for cytopenias and infections. Clinical trial information: NCT02013167. [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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".