MétaCan
Menu
Back to cohort
Record W2919721092 · doi:10.1002/mdc3.12747

Paroxysmal Asymmetric Dystonic Arm Posturing—A Less Recognized but Characteristic Manifestation of ATP1A3‐related disease

2019· article· en· W2919721092 on OpenAlexaff
Bettina Balint, Christopher D. Stephen, Vrajesh Udani, Charulata Sankhla, Narendrakumar H. Barad, Anthony E. Lang, Kailash P. Bhatia

Bibliographic record

VenueMovement Disorders Clinical Practice · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon channel regulation and function
Canadian institutionsToronto Western HospitalUniversity of Toronto
FundersRobert Bosch StiftungAcorda TherapeuticsSun PharmaBiogen
KeywordsMedicineDystoniaDiseasePhysical medicine and rehabilitationPediatricsPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

ABSTRACT Background ATP1A3 mutations cause a wide clinical spectrum, and are one of the “commoner rare diseases”. Methods Case series of four patients with ATP1A3 mutations. Results The patients displayed characteristic episodes of dystonic arm posturing, involving a dystonic, flexed arm held in front of the body or close to the body, but with the hand raised upwards. Other attacks manifested with arm extension, either beside the body or reaching upwards. Dystonic posturing occurred paroxysmally, with no neurological signs between attacks, or combined with other signs like chorea, ataxia, and hypotonia. Conclusions While previous diagnostic criteria have not included paroxysmal or episodic dystonia, recent expert consensus has proposed to include alternating or paroxysmal dystonia as major feature calling for ATP1A3 genetic testing. Attacks of marked arm flexion posturing, either paroxysmal or as episodic exacerbation of mild pre‐existent dystonia, are a characteristic clue to ATP1A3‐related disease.

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)0.001
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.019
GPT teacher head0.308
Teacher spread0.289 · 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

Citations20
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueMovement Disorders Clinical PracticeSame topicIon channel regulation and functionFrench-language works237,207