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Record W7112568180

Étude des toxicités neurologiques (ICANS) chez les patients atteints de lymphome B diffus à grandes cellules traités par CAR-T cells : expérience d'une cohorte bordelaise

2025· dissertation· fr· W7112568180 on OpenAlexaboutno aff

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2025
Typedissertation
Languagefr
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsnot available
Fundersnot available
KeywordsCytokine release syndromeNeurotoxicityImmunotherapyImmune systemFerritinCognitionRefractory (planetary science)
DOInot available

Abstract

fetched live from OpenAlex

Introduction: chimeric Antigen Receptor (CAR) T cells, an innovative immunotherapy for refractory or relapsed B-cell lymphomas, are associated with frequent neurological toxicity, immune cell-associated neurotoxicity syndrome (ICANS). It is crucial to optimize the management of these patients by identifying risk factors and assessing the impact of treatments on CAR-T cell efficacy, as well as the long-term risk of neurological sequelae. Methods: we retrospectively studied 89 patients with diffuse large B-cell lymphoma treated with CAR-T cells between 2020 and 2024, and prospectively analyzed 16 patients who developed ICANS, followed in a remote neurological consultation. We examined their clinical, biological, imaging, and electroencephalographic characteristics, as well as the impact of corticosteroids on hematological response and survival. Results: of the 89 patients, 46% developed ICANS, of which 34% were severe and 56% were early-onset. Baseline ferritin and elevated lacticodeshydrogénase (LDH) levels, bridging therapy, and a poor response to bridging therapy were significantly associated with ICANS. Severe ICANS were linked to early cytokine release syndrome (CRS). Nearly 10% of patients experienced corticosteroid-dependent ICANS. Corticosteroids did not affect hematological response or mortality. The remote cognitive assessment showed a Montreal cognitive assessement (MoCA) score of 26.5/30, with a loss of 3 points, and 44% of patients reported cognitive sequelae. Discussion: our results are consistent with those of other real-life cohorts, showing neurotoxicity associated with a pro-inflammatory environment, including CRS and inflammatory biomarkers. Corticosteroids did not affect CAR-T cell response or mortality. Cognitive sequelae may persist. Larger studies are needed to refine management strategies for CAR-T cell-related toxicities.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
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 head0.015
GPT teacher head0.257
Teacher spread0.243 · 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 designObservational
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

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