MétaCan
Menu
Back to cohort
Record W4417041665 · doi:10.1182/hematology.2025000735

With BiTEs at the kiddie table, where do CARs come in for pediatric B-ALL?

2025· article· en· W4417041665 on OpenAlexaff
Amanda M. Li, Shannon L. Maude

Bibliographic record

VenueHematology · 2025
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsBC Children's Hospital
Fundersnot available
KeywordsBlinatumomabChimeric antigen receptorFood and drug administrationPediatric oncologyImmunotherapyRefractory (planetary science)Off-label useAcute lymphocytic leukemiaCD19

Abstract

fetched live from OpenAlex

T-cell engaging immunotherapies have transformed the treatment of pediatric B-cell acute lymphoblastic leukemia (B-ALL). First revolutionizing outcomes for relapsed and refractory disease, these therapies are now being incorporated and studied in the frontline setting. With the US Food and Drug Administration (FDA) approval of the CD19-directed bispecific T-cell engager (BiTE) blinatumomab for remission consolidation, the majority of patients with B-ALL receive blinatumomab in frontline therapy. Chimeric antigen receptor (CAR) T-cell therapy targeting CD19 is FDA approved for pediatric patients with B-ALL that is refractory or in second or greater relapse. With the same target, similar mechanisms of action, and some overlap in indications, the optimal placement and sequence of these immunotherapies remain unclear. Here we review the recent data and expanded use of blinatumomab and CAR T-cell therapy and discuss the role of CAR T-cell therapy in the current pediatric B-ALL treatment landscape, including in populations with relapsed/refractory disease and at very high risk of relapse.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.636
Threshold uncertainty score0.324

Codex and Gemma teacher scores by category

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

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 head0.012
GPT teacher head0.304
Teacher spread0.291 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueHematologySame topicAcute Lymphoblastic Leukemia researchFrench-language works237,207