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Record W2998268837 · doi:10.1212/wnl.0000000000008860

Myasthenia gravis following dabrafenib and trametinib for metastatic melanoma

2019· article· en· W2998268837 on OpenAlexaff
Austin Zaloum, Jean-Pierre Falet, Arielle Elkrief, Colin Chalk

Bibliographic record

VenueNeurology · 2019
Typearticle
Languageen
FieldMedicine
TopicMyasthenia Gravis and Thymoma
Canadian institutionsMcGill University
Fundersnot available
KeywordsTrametinibDabrafenibMyasthenia gravisMedicineMelanomaMEK inhibitorNeuromuscular transmissionImmunotherapyCancer researchOncologyInternal medicineImmunologyCancerMAPK/ERK pathwayMetastatic melanomaKinaseBiologyVemurafenib

Abstract

fetched live from OpenAlex

In myasthenia gravis (MG), autoantibodies bind to postsynaptic acetylcholine (AChR) receptors or related proteins at the neuromuscular junction.1 This impairs synaptic transmission, causing fatigable muscle weakness. MG has been reported in patients undergoing cancer treatment, specifically immunotherapy with immune checkpoint inhibitors.2 In patients with metastatic melanoma carrying a BRAF V600 mutation, a different class of treatment, combined molecularly targeted therapy with the BRAF inhibitor dabrafenib and the MEK inhibitor trametinib, improves overall survival and is now the standard of care.3 We report a case of AChR antibody-positive MG developing after exposure to dabrafenib and trametinib.

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
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 head0.015
GPT teacher head0.272
Teacher spread0.258 · 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 designCase report
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

Citations11
Published2019
Admission routes1
Has abstractyes

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