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Record W2770305036 · doi:10.1002/mdc3.12570

Action Myoclonus and Seizure in Kufor‐Rakeb Syndrome

2017· article· en· W2770305036 on OpenAlexaff
Mohammad Rohani, Anthony E. Lang, Farzad Sina, Elahe Elahi, Alfonso Fasano, John Hardy, José Brás, Afagh Alavi

Bibliographic record

VenueMovement Disorders Clinical Practice · 2017
Typearticle
Languageen
FieldMedicine
TopicLysosomal Storage Disorders Research
Canadian institutionsToronto Western HospitalKrembil FoundationUniversity of Toronto
Fundersnot available
KeywordsMyoclonusAction (physics)PsychologyNeuroscienceMedicineEpilepsy

Abstract

fetched live from OpenAlex

Abstract View Supplementary Video 1 View Supplementary Video 2 View Supplementary Video 3 View Supplementary Video 4 View Supplementary Video 5 Background Kufor‐Rakeb syndrome (KRS) is a rare autosomal recessive neurologic disease with diverse phenotypic features. Herein we report an Iranian KRS family with seizure and action myoclonus in addition to other typical manifestations of this syndrome. Method All family members underwent careful neurologic examination. Exome sequencing was performed and ATP13A2 variation genotyped in all family members. Results Cognitive deficits, hypokinesia, rigidity, spasticity, brisk deep tendon reflexes, upward gaze palsy, tremor, and facial‐faucial‐finger mini‐myoclonus were the common manifestations of all affected siblings. Two cases had seizure and the most severely affected sibling demonstrated severe action myoclonus. Exome sequencing identified a homozygous nonsense mutation c.2455C>T;p.Arg819* in ATP13A2 gene. Conclusions We reported five KRS affected siblings who manifested myoclonus and seizure. The most severely affected one demonstrated action myoclonus, which has not been reported so far.

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)0.000
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 score0.025
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0250.004

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 head0.096
GPT teacher head0.471
Teacher spread0.375 · 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

Citations18
Published2017
Admission routes1
Has abstractyes

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