A Rare Case of Paroxysmal Kinesigenic Dyskinesia with Autosomal Recessive Spastic Ataxia of Charlevoix-Saguenay
Bibliographic record
Abstract
Abstract Paroxysmal kinesigenic dyskinesia (PKD) represents a rare subset of movement disorders characterized by involuntary movements triggered by sudden voluntary actions, without loss of consciousness. Typically manifesting in the first or second decade of life, PKD can present as either familial or sporadic, with the most common mutation identified in familial cases being in the proline-rich transmembrane protein 2 gene. This abstract presents a unique case of PKD accompanied by a progressive spastic ataxic syndrome in a 17-year-old male with a history of consanguinity. The patient exhibited a constellation of symptoms including delayed motor milestones, unsteady gait, slurred speech, and dystonic movements, alongside neurological findings consistent with cerebellar dysfunction and peripheral neuropathy. Genetic testing revealed pathogenic variants in the SACS gene, confirming the diagnosis of autosomal recessive spastic ataxia of Charlevoix-Saguenay. This case underscores the importance of thorough neurological evaluation, including consideration of atypical presentations, in patients with PKD. In addition, it sheds light on the association between SACS gene mutations and an autosomal recessive variant of PKD, emphasizing the need for awareness and recognition of such rare manifestations in clinical practice.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".