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Record W2994697016 · doi:10.1177/1352458519892914

CNS demyelination after initiating the tyrosine kinase inhibitor imatinib: A report of two cases

2019· article· en· W2994697016 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMultiple Sclerosis Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicPeripheral Neuropathies and Disorders
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsImatinibMedicineMultiple sclerosisTyrosine-kinase inhibitorMyelin oligodendrocyte glycoproteinOptic neuritisTyrosine kinaseOligodendrocyteMagnetic resonance imagingCentral nervous systemPathologyMyelinImmunologyInternal medicineRadiologyExperimental autoimmune encephalomyelitisCancerReceptor

Abstract

fetched live from OpenAlex

The tyrosine kinase inhibitor, imatinib, used to treat certain malignancies, is in clinical trials as a potential treatment for multiple sclerosis and acute stroke. This is the first report of cases of multifocal central nervous system (CNS) demyelination following exposure to imatinib. One case was severe with bilateral optic neuritis and transverse myelitis that was AQP4 IgG and myelin oligodendrocyte glycoprotein (MOG) IgG negative and improved after plasma exchange and withdrawal of imatinib. The second case involved a unilateral optic neuritis with magnetic resonance imaging (MRI) brain confirming other demyelinating lesions. Although the mechanism is unknown, demyelination on imatinib could be related to activation of previously normal T-cells.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.278
Threshold uncertainty score0.405

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.048
GPT teacher head0.281
Teacher spread0.233 · 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