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Record W2618776945 · doi:10.1002/mdc3.12512

Tremor‐Dominant Pantothenate Kinase‐associated Neurodegeneration

2017· article· en· W2618776945 on OpenAlexaff
Mohammad Rohani, Gholam Ali Shahidi, Afagh Alavi, Anthony E. Lang, Niloufar Yousefi, Said Razme, Alfonso Fasano

Bibliographic record

VenueMovement Disorders Clinical Practice · 2017
Typearticle
Languageen
FieldNeuroscience
TopicNeurological diseases and metabolism
Canadian institutionsToronto Western HospitalKrembil FoundationUniversity of Toronto
Fundersnot available
KeywordsDystoniaNeurodegenerationBasal gangliaEssential tremorNeurosciencePsychologyNeuroimagingMedicinePathologyDiseaseCentral nervous system

Abstract

fetched live from OpenAlex

Neurodegeneration with brain iron accumulation (NBIA) includes a rare and heterogeneous group of disorders characterized by iron deposition in the basal ganglia. Pantothenate kinase-associated neurodegeneration (PKAN) is the most common NBIA and has 2 main presentations: typical and atypical, the latter rarely presents with tremor. Our reported patients underwent full neurologic examination, standard brain magnetic imaging, and genetic testing for PKAN. Three patients who had "tremor-dominant" PKAN with a relatively benign course were reported, including 1 with dystonic tremor and 2 with parkinsonian tremor. All 3 patients had homozygous mutations in the PANK2 gene and typical eye of the tiger sign on brain imaging. PKAN (and NBIA in general) may be a potential cause of tremor, thus emphasizing the need to consider this diagnosis even in patients with a clinical diagnosis of essential, dystonic, or parkinsonian tremor.

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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
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)0.0020.001

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 head0.090
GPT teacher head0.399
Teacher spread0.309 · 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

Citations8
Published2017
Admission routes1
Has abstractyes

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