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Record W3212994588 · doi:10.1016/j.htct.2021.09.002

Associação Brasileira de Hematologia, Hemoterapia e Terapia Celular Consensus on genetically modified cells. II: CAR-T cell therapy for patients with CD19+ acute lymphoblastic leukemia

2021· article· en· W3212994588 on OpenAlexaff
Adriana Seber, Claudio Galvão de Castro, Lucila Nassif Kerbauy, Alexandre V. Hirayama, Carmem Bonfim, Juliana Folloni Fernandes, Mair Pedro de Souza, Rony Schafell, Samir Nabhan, Sandra Regina Loggetto, Belinda Pinto Simões, Vanderson Rocha, Marcos de Lima, Renato Cunha, Henrique Bittencourt

Bibliographic record

VenueHematology Transfusion and Cell Therapy · 2021
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsChimeric antigen receptorCytokine release syndromeMedicineCD19HematologyLymphoblastic LeukemiaCAR T-cell therapyCell therapyOncologyLeukemiaT cellInternal medicineImmunologyDiseaseAcute lymphocytic leukemiaCancer researchAntigenCellImmune systemBiology

Abstract

fetched live from OpenAlex

Chimeric antigen receptor T (CAR-T) cell therapy is a novel therapeutic modality for acute lymphoblastic leukemia (ALL) with robust outcomes in patients with refractory or relapsed disease. At the same time, CAR-T cell therapy is associated with unique and potentially fatal toxicities, such as cytokine release syndrome (CRS) and neurological toxicities (ICANS). This manuscript aims to provide a consensus of specialists in the fields of Hematology Oncology and Cellular Therapy to make recommendations on the current scenario of the use of CAR-T cells in patients with ALL.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.261
Teacher spread0.246 · 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.

Study designBench or experimental
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
Published2021
Admission routes1
Has abstractyes

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