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Record W2884179398 · doi:10.1136/jnnp-2018-318584

The Movement disorder associated with NMDAR antibody-encephalitis is complex and characteristic: an expert video-rating study

2018· letter· en· W2884179398 on OpenAlexaff
James Varley, Alastair J.S. Webb, Bettina Balint, Victor S.C. Fung, Kapil D. Sethi, Marina A.J. Tijssen, Timothy Lynch, Shekeeb S. Mohammad, Fiona Britton, Matthew C. Evans, Yael Hacohen, Jean‐Pierre Lin, Nardo Nardocci, Tiziana Granata, Russell C. Dale, Ming Lim, Kailash P. Bhatia, Anthony E. Lang, Sarosh R. Irani

Bibliographic record

VenueJournal of Neurology Neurosurgery & Psychiatry · 2018
Typeletter
Languageen
FieldMedicine
TopicAutoimmune Neurological Disorders and Treatments
Canadian institutionsToronto Western Hospital
FundersGuarantors of BrainBritish Medical AssociationEpilepsy Research UKNational Institute for Health and Care ResearchWellcome Trust
KeywordsEncephalitisNeurologyMedicineMovement disordersPsychologyPsychiatryPediatricsDiseasePathologyImmunology

Abstract

fetched live from OpenAlex

N-methyl-D-aspartate receptor antibody-mediated encephalitis (NMDAR-AbE) is an increasingly recognised and treatable encephalitis, with a predilection for children and young adults.1 2 As earlier immunotherapy improves outcomes, timely and accurate recognition of NMDAR-AbE is a major clinical aim.2 The characteristic polysymptomatic presentation of NMDAR-AbE includes early neuropsychiatric deficits with seizures, autonomic disturbance, reduced consciousness and a movement disorder (MD).1 2 This MD, seen in around 90% of cases, can be the presenting feature, particularly in children,1 and is typically hyperkinetic with limb plus orofacial involvement.1–5 To date, elegant detailed descriptions exist in a few patients.4 However, small series have used highly variable phenomenological descriptions.1–5 Therefore, the phenomenology of the associated MD lacks consensus. Its clearer description will facilitate confident recognition and enable earlier immunotherapy administration in NMDAR-AbE. Expert-rater descriptions remain the gold standard to define phenotypes in movement disorders. In this study, ratings from seven experts across 76 videos were used to better define the MD in NMDAR-AbE. ### Subjects Autoimmune neurology researchers contributed 44 videos from 20 patients who met diagnostic criteria for NMDAR-AbE.e1 A PubMed search for ‘anti-NMDAR encephalitis’ and ‘NMDAR-antibody encephalitis’, plus associated references, revealed 32 videos from 14 subjects, in eight papers from 14 subjects.3 , e2–8 Clinical features, temporal progression, outcomes and investigation findings were collated from case note reviews by the researchers and from data in published papers. Twenty videos from 18 age-matched and sex-matched (age range 2–41 years, median 12, 50% female) disease controls were selected from the literature (online supplementary data).3 e9–19 ### Supplementary data [jnnp-2018-318584supp004.pdf] ### Movement disorder classification Seven experts (KB, VF, AEL, TL, NN, KS and MT) established a consensus glossary of terms (online supplementary data, modified from Mohammed et al 3). Subsequently, each expert blindly and independently rated 76 videos from 34 patients with NMDAR-AbE (median two videos …

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)0.007
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 score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.302
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; 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".

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Citations105
Published2018
Admission routes1
Has abstractyes

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