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Record W2896190812 · doi:10.1111/dmcn.14059

Developmental outcomes in children with congenital cerebellar malformations

2018· article· en· W2896190812 on OpenAlexaff
Elana Pinchefsky, Andrea Accogli, Michael Shevell, Christine Saint‐Martin, Myriam Srour

Bibliographic record

VenueDevelopmental Medicine & Child Neurology · 2018
Typearticle
Languageen
FieldMedicine
TopicFetal and Pediatric Neurological Disorders
Canadian institutionsMcGill UniversityMontreal Children's Hospital
Fundersnot available
KeywordsCerebellar hypoplasia (non-human)MedicineHypoplasiaCerebellumCerebellar vermisPediatricsNeuroimagingGlobal developmental delayIntellectual disabilityCohortEpilepsyOptic nerve hypoplasiaBrainstemPathologyInternal medicinePsychiatryBiologyPhenotype

Abstract

fetched live from OpenAlex

AIM: Neurodevelopmental outcomes in children with congenital cerebellar malformations (CCMs) remain poorly defined. We aimed to assess whether specific neuroimaging features in CCM patients correlate with neurodevelopmental outcomes. METHOD: Hospital records and neuroimaging of 67 children with CCMs were systematically reviewed. Logistic regression analyses were used to assess associations between specific imaging features and neurodevelopmental outcomes. RESULTS: CCM categories were distributed as follows: 28 percent isolated vermis hypoplasia (n=19), 28 percent global cerebellar hypoplasia (n=19), 15 percent Dandy-Walker malformation (n=10), 13 percent pontocerebellar hypoplasia (PCH, n=9), 9 percent molar tooth malformation (n=6), 3 percent rhombencephalosynapsis (n=2), and 3 percent unilateral cerebellar malformation (n=2). Overall, 85 percent (55/65) of the cohort had global developmental delay (GDD). Intellectual disability was present in 61 percent (27/43) and autism spectrum disorder (ASD) in 12 percent (6/52). Adjusting for supratentorial malformations and presence of genetic findings, severe GDD was associated with cerebellar hypoplasia (p=0.049) and PCH (p=0.030), whereas children with vermis hypoplasia were less likely to have severe GDD (p=0.003). Presence of supratentorial abnormalities was not significantly associated with worse neurodevelopmental outcome but was associated with epilepsy. INTERPRETATION: Children with CCMs have high prevalence of neurodevelopmental deficits. Specific features on imaging can aid prognostication and establish early intervention strategies. WHAT THIS PAPER ADDS: Atypical long-term neurodevelopmental outcome is very common in patients with congenital cerebellar malformations (CCMs). Involvement of the brainstem and cerebellar hemispheres predicts more severe neurodevelopmental disability. Most patients with vermis hypoplasia have language delay but are verbal. Supratentorial abnormalities are not significantly associated with worse neurodevelopmental outcome but are associated with epilepsy. Comorbidities are common in CCMs, especially ophthalmological issues in cerebellar hypoplasia and sensorineural hearing loss in pontocerebellar hypoplasia.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.233
Teacher spread0.221 · 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

Citations40
Published2018
Admission routes1
Has abstractyes

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