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Record W4380085040 · doi:10.1002/hon.3163_91

COMBINING CD19‐4‐1BBL (RO7227166) WITH GLOFITAMAB IS SAFE AND SHOWS EARLY EFFICACY IN PATIENTS SUFFERING FROM RELAPSED OR REFRACTORY B‐CELL NON‐HODGKIN LYMPHOMA

2023· article· en· W4380085040 on OpenAlexaff
Martin Hutchings, Michael Dickinson, Carmelo Carlo‐Stella, Franck Morschhauser, Francesc Bosch, Giuseppe Gritti, William Townsend, Nancy L. Bartlett, Guillaume Cartron, Hervé Ghesquières, Roch Houot, Harriet S. Walter, Fritz Offner, Anita Vedel Christiansen, Natalie Dimier, C. Jamois, Emily Harrop, Sylvia Herter, Gabriele Hölzlwimmer, Koorosh Korfi, Jason Luong, Claudia Mueller, Sarah Louise Mycroft, Matt Whayman, Isabel Prieto, Daria Rukina, Katharina Lechner

Bibliographic record

VenueHematological Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicMonoclonal and Polyclonal Antibodies Research
Canadian institutionsRoche (Canada)
Fundersnot available
KeywordsMedicineRefractory (planetary science)Internal medicineTolerabilityLymphomaFollicular lymphomaGastroenterologyDosingOncologyAdverse effect

Abstract

fetched live from OpenAlex

RO7227166 exposure increased in an almost dose proportional manner for doses ≥22 mg.Furthermore, pharmacodynamic analysis showed expansion of primed and activated CD8, and effector memory T-cells, with a reduction of exhausted T cell phenotypes.Conclusions: Glofitamab can be safely combined with a costimulatory bispecific antibody (RO7227166) in R/R B-NHL.The safety profile of the combination was mainly driven by glofitamab and we did not detect an additive safety signal from RO7227166.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.039
GPT teacher head0.323
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2023
Admission routes1
Has abstractyes

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