Modification of belantamab mafodotin dosing to balance efficacy and tolerability in the DREAMM-7 and DREAMM-8 trials
Bibliographic record
Abstract
ABSTRACT: Belantamab mafodotin (belamaf) combined with standard therapies demonstrated significant progression-free survival (PFS) and overall survival benefits in DREAMM-7 and PFS benefit in DREAMM-8 in relapsed/refractory multiple myeloma. Belamaf dose modifications managed adverse events, including belamaf-related ocular events. Ocular events included ocular adverse reactions (eg, dry eyes, photophobia, eye irritation) and protocol-mandated ophthalmic examination findings. Protocol-recommended dose modifications for ocular events were driven by ophthalmic examination findings and included belamaf dose delays until resolution and reductions. We used descriptive analyses to evaluate the impact of dose modifications on managing ocular events and treatment efficacy. In patients with normal baseline vision who were receiving treatment, dose modifications extended belamaf dosing intervals to a median of 8 to 12 weeks by 9 months; the prevalences of reduced vision to bilateral 20/50 or worse and ocular adverse reactions were highest in the first 3 months and remained low at later time points. The median time to resolution after grade ≥2 ophthalmic examination findings was 12 weeks. Rates of belamaf discontinuations due to ocular events were low. Almost all responders (partial response or better) required dose modifications. Most patients achieved a response before an extended (>2 cycles) dose delay; most who had not, subsequently achieved or deepened their response. In DREAMM-7 and DREAMM-8, the median PFS in patients with ≥1 dose delay of ≥12 weeks was 36.6 months and not reached, respectively. Ocular events were common but effectively managed with dose modifications, allowing for patients to remain on treatment and derive robust efficacy benefit. The trials were registered at www.clinicaltrials.gov as #NCT04246047 (DREAMM-7) and #NCT04484623 (DREAMM-8).
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 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 | 0.001 | 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) | 0.000 | 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".