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Pediatric acute-onset neuropsychiatric syndrome: clinical/laboratory characteristics

2017· article· en· W2784873193 on OpenAlexaff
S. E. MUNASIPOVA, Z. A. Zalyalova

Bibliographic record

VenueS S Korsakov Journal of Neurology and Psychiatry · 2017
Typearticle
Languageen
FieldPsychology
TopicObsessive-Compulsive Spectrum Disorders
Canadian institutionsCentre for Movement Disorders
Fundersnot available
KeywordsPANDASTicsMedicineTourette syndromeStreptococcusImmunologyPediatricsInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

AIM: Based on the current conceptions on the genesis of hyperkinetic syndromes in children and adolescents, to single out a group of patients with suggestive PANS, compare clinical and laboratory results and determine clinical/laboratory characteristics of this syndrome. MATERIAL AND METHODS: Sixty-nine patients with tics were studied using neurological examination, questionnaires and international scales for assessment of tics, obsessive-compulsive disorders and attention deficit hyperactivity disorder (ADHD). Laboratory tests included general blood tests, antistreptolysin O test, determination of rheumatoid factor, C-reactive protein, circulating immune complexes, nasopharyngeal wash for β-hemolytic streptococcus, antineuronal antibodies and immunoglobulins A, M, G, E, CD4, CD8-lymphocytes. The same tests were performed in the control group. RESULTS AND CONCLUSION: Clinical symptoms were different by the severity and phenomenology of tic hyperkineses in patients with PANS compared to the patients with tics without immune disorders. Most of the patients were diagnosed with Tourette syndrome. ADHD was the most common diagnosis in the PANS group. Its frequency was 2.5 higher in the male patients. A chronic focus of infection did no predict the development of PANS. Based on the laboratory results, one can assume that β-hemolytic streptococcus A infection, lower JgM levels and an elevated CD8+ lymphocytes predict the development of autoimmune mental and neurological disorders in the group of PANS patients.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.322
Teacher spread0.310 · 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 teacher head, not a consensus.

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

Citations1
Published2017
Admission routes1
Has abstractyes

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