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Record W3197696703 · doi:10.1002/mdc3.13305

Commentary: Juvenile Dystonia‐Parkinsonism due to <scp><i>DNAJC6</i></scp> Mutation

2021· editorial· en· W3197696703 on OpenAlexaff
Orlando Graziani Póvoas Barsottini, David Garza‐Brambila, Claudia N. Esparza-Hernández, Jorge Ramirez‐Zenteno, Daniel Martínez-Ramírez, Alfonso Fasano

Bibliographic record

VenueMovement Disorders Clinical Practice · 2021
Typeeditorial
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsOntario Brain InstituteThe Scarborough HospitalToronto Western HospitalUniversity of Toronto
Fundersnot available
KeywordsDystoniaParkinsonismLevodopaMovement disordersMedicinePsychologyPhysical medicine and rehabilitationNeuroscienceParkinson's diseaseDiseaseInternal medicine

Abstract

fetched live from OpenAlex

This interesting case report by Garza-Brambila et al1 describes an 11-year-old girl presenting delayed motor development as early as 16 months of age and parkinsonian signs from the age of 8 years, initially responding to dopaminergic therapy. The case video presents a patient with a clinical syndrome of dystonia-parkinsonism characterized by bilateral bradykinesia, reduced facial expression, resting tremor of the hands, and dystonia involving the neck, upper and lower limbs. The latter mainly consisted in the plantar flexion of the foot, which can resemble the so-called “cock-walk” seen in patients with acquired or inherited forms of manganism. However, this patient lacked the characteristic compensatory excessive hip flexion seen in cock-walk. In addition, this patient also showed significant cognitive impairment detected through neurocognitive assessment. Brain magnetic resonance imaging (MRI) and laboratory test results were normal. In our opinion, the most important features for establishing a diagnosis in this case include early-onset dystonia-parkinsonism syndrome, cognitive impairment, and response to levodopa treatment. In fact, given this patient's clinical presentation, there is a wide range of possible differential diagnoses that should be considered including several rare conditions such as pediatric neurotransmitter disorders (Table 1).2 However, she does not show oculogyric crisis and dysautonomia, which are very common manifestations in primary neurotransmitter disorders. When we mention forms of juvenile parkinsonism or dystonia-parkinsonism responsive to levodopa, we should also consider genetic causes of monogenic Parkinson's disease (PD). This group of disorders includes mutations of known genes such as PRKN and PINK1, and more recently described genes such as SYNJ1 and DNAJC6, which also feature a good response to levodopa. The definite diagnosis for this case was DNAJC6 gene mutation, an emerging cause of recessive juvenile dystonia-parkinsonism that should be considered in the differential diagnosis of pediatric neurotransmitter disorders, especially in those presenting with low levels of homovanilic acid.3, 4 (1) Research Project: A. Conception, B. Organization, C. Execution; (2) Statistical Analysis: A. Design, B. Execution, C. Review and Critique; (3) Manuscript Preparation: A. Writing of the First Draft, B. Review and Critique. O.G.P.B.: 1A, 1B, 1C, 3A D.G.B.: 1A, 1B, 1C C.N.E.H.: 1A, 1B, 1C J.R.Z.: 1A, 1B, 1C D.M.R.: 1A, 1B, 1C A.F.: 3A, 3B The authors confirm that neither informed patient consent nor the approval of an institutional review board was necessary for this work. We confirm that we have read the Journal's position on issues involved in ethical publication and affirm that this work is consistent with those guidelines. There are no funding sources or conflicts of interest related to this case. D.M.R. received support linked to consultancies from UCB Mexico and speaker honoraria from Abbott unrelated to this research. A.F. received honoraria from AbbVie, Abbott, Boston Scientific, Ceregate, Ipsen, Integra, Medtronic, and UCB and research support from AbbVie, Boston Scientific and Medtronic.

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)0.002
metaresearch head score (Gemma)0.032
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.356
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.032
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.001

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 head0.023
GPT teacher head0.363
Teacher spread0.341 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEditorial

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

Citations0
Published2021
Admission routes1
Has abstractyes

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