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Record W1999260106 · doi:10.1002/mds.22876

Neuronal intranuclear inclusion disease: Two cases of dopa‐responsive juvenile parkinsonism with drug‐induced dyskinesia

2010· article· en· W1999260106 on OpenAlexaff
Szu‐Chia Lai, Shih‐Ming Jung, Padraic J. Grattan‐Smith, Ella Sugo, Yen‐Wen Lin, Rou‐Shayn Chen, Chiung‐Chu Chen, Yah‐Huei Wu‐Chou, Anthony E. Lang, Chin‐Song Lu

Bibliographic record

VenueMovement Disorders · 2010
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsToronto Western HospitalUniversity of TorontoCentre for Movement Disorders
Fundersnot available
KeywordsParkinsonismDyskinesiaLevodopaMedicineHyperkinesiaDifferential diagnosisDysarthriaAnesthesiaDiseasePathologyInternal medicineParkinson's diseasePsychiatry

Abstract

fetched live from OpenAlex

There are very few conditions that present with dopa-responsive juvenile parkinsonism. We present two such children with neuronal intranuclear inclusion disease (NIID) who had an initial good levodopa response that was soon complicated by disabling dopa-induced dyskinesia. One child was diagnosed by rectal biopsy in life, and the other diagnosis was confirmed at postmortem. In this patient, dopamine transporter imaging showed severely decreased binding of the radiotracer in the striatum on both sides. Bilateral subthalamic deep brain stimulation in this patient produced initial improvement, but this was not sustained. Both patients died within 10 years of symptom onset. As well as levodopa responsiveness with rapid onset of dyskinesia, clues to the diagnosis of NIID in patients presenting with parkinsonism include the presence of gaze-evoked nystagmus, early onset dysarthria and dysphagia and oculogyric crises. Differential diagnosis of clinical symptoms and neuropathological findings are discussed including the approach to rectal biopsy for early diagnosis.

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)0.006
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 score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.006
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0040.002
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 head0.008
GPT teacher head0.249
Teacher spread0.241 · 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

Citations27
Published2010
Admission routes1
Has abstractyes

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