MétaCan
Menu
Back to cohort
Record W4404637336 · doi:10.17116/jnevro202412411296

Psychopathological disorders at the onset of juvenile parkinsonism in childhood

2024· article· en· W4404637336 on OpenAlexaff
A. V. Goryunova, Yuriy Shevchenko, L Yu Danilova, А. V. Goryunov, О С Левин, Н. А. Воронкова, A. O. Ermakov

Bibliographic record

VenueS S Korsakov Journal of Neurology and Psychiatry · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsChild, Adolescent and Family Mental Health
Fundersnot available
KeywordsPsychopathologyJuvenileParkinsonismMedicinePsychiatryPsychologyInternal medicineBiology

Abstract

fetched live from OpenAlex

The article presents a case of a teenage female patient illustrating the difficulties of diagnosis and treatment of mental pathology at the onset of juvenile parkinsonism, which developed as a result of compound heterozygous mutations and proceeds with moderate akinetic-rigid and pseudopyramidal syndromes and combined tremor. It is shown that before the appearance of distinct symptoms of parkinsonism and the genetic study that confirmed the diagnosis, the patient had been observed for several years with various psychiatric diagnoses and received psychotropic therapy. This case demonstrates the difficulties of differential diagnosis of juvenile parkinsonism in children at the initial stage due to multiple comorbid motor, affective and behavioral disorders. When neurological symptoms appear in patients, a multidisciplinary approach is required, including joint diagnostics by psychiatrists and neurologists to establish an accurate diagnosis and select the optimal therapy. The introduction of principles of interdisciplinary interaction in the management of such patients will improve the timeliness of diagnosis and pathogenetically based therapy.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.004
GPT teacher head0.226
Teacher spread0.222 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueS S Korsakov Journal of Neurology and PsychiatrySame topicGenetics and Neurodevelopmental DisordersFrench-language works237,207