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Record W4367310554 · doi:10.1177/19418744231167290

Chimeric Antigen Receptor-T Cell Mediated Bilateral Facial Nerve Palsy: A Case Report

2023· article· en· W4367310554 on OpenAlexaff
Natalya Patrick, Nizar J. Bahlis, Steven Peters

Bibliographic record

VenueThe Neurohospitalist · 2023
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsHotchkiss Brain InstituteOntario Brain InstituteUniversity of Calgary
Fundersnot available
KeywordsMedicineChimeric antigen receptorEncephalopathyLeukocytosisDiplopiaNeurotoxicityFacial nervePathologyImmunotherapyInternal medicineImmune systemImmunologySurgeryToxicity

Abstract

fetched live from OpenAlex

Chimeric antigen receptor (CAR-T) cell therapy is highly effective against hematological cancers but is associated with immune mediated side effects, including neurotoxicity. The most commonly described presentations of immune cell mediated neurotoxicity syndrome (ICANS) include cortical symptoms and generally localize to the central nervous system. In this report, we present a patient with acute onset of bilateral facial nerve palsy following CAR-T cell therapy, followed by a complete clinical recovery. Aside from a temporary anisocoria, he had no other neurologic symptoms and no encephalopathy or seizures. MRI Brain was non-contributory and cerebrospinal fluid revealed a modest increase in lymphocytes without systemic leukocytosis and viral studies were all negative. He was diagnosed with bilateral facial nerve palsy secondary to CAR-T cell therapy and subsequently treated with a course of steroids. Several weeks after presentation he returned to his neurological baseline. The presentation of CAR-T cell mediated facial nerve palsy is both clinically and scientifically relevant for physicians, patients, and researchers.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.481
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.030
GPT teacher head0.306
Teacher spread0.277 · 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; both teacher heads agree on what is shown here.

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

Citations8
Published2023
Admission routes1
Has abstractyes

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