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Record W2885249304 · doi:10.1177/2329048x18791083

Worster-Drought Syndrome Associated With <i>LINS</i> Mutations

2018· article· en· W2885249304 on OpenAlexaff
Hugh J. McMillan, Anne-Lise Holahan, Julie Richer

Bibliographic record

VenueChild Neurology Open · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomic variations and chromosomal abnormalities
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of Ottawa
Fundersnot available
KeywordsContext (archaeology)EtiologyDysphagiaPediatricsMedicinePathologyRadiologyBiology

Abstract

fetched live from OpenAlex

Worster-Drought syndrome is a congenital, pseudobulbar paresis. There is no identified molecular etiology despite familial cases reported. The authors report a boy who was diagnosed with Worster-Drought syndrome due to longstanding drooling, dysphagia, and impaired tongue movement. Magnetic resonance imaging of the brain was unrevealing. At 14 years old, he remains aphonic with normal facial and extraocular movements. Nonsense mutations in the LINS gene, p.Glu366X and p.Lys393X, were found. Results from neuropsychological testing at 14 years old were consistent with a diagnosis of intellectual disability and revealed nonverbal reasoning skills at a 5-year-old level with relative sparing of his receptive vocabulary and visual attention. Compared to prior testing at 9 years old, his receptive language improved from a 6-year-old to an 8.5-year-old level. The authors report LINS mutations associated with Worster-Drought syndrome. This highlights that despite severe and persistent aphonia, receptive language improvements can be observed within the context of intellectual disability.

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 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)0.000
metaresearch head score (Gemma)0.000
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 score0.268
Threshold uncertainty score0.501

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.010
GPT teacher head0.224
Teacher spread0.214 · 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 teacher head, 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".

Quick stats

Citations6
Published2018
Admission routes1
Has abstractyes

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