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Record W1997051846 · doi:10.1097/scs.0b013e3181cfa792

Chiari Type 1 Malformation in an Infant With Type 2 Pfeiffer Syndrome

2010· article· en· W1997051846 on OpenAlexaff
Adrianna Ranger, Ali Al-Hayek, Damir B. Matic

Bibliographic record

VenueJournal of Craniofacial Surgery · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCraniofacial Disorders and Treatments
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsMedicineCraniosynostosisSyndactylySkullChiari malformationSurgeryHydrocephalusIntracranial pressurePosterior cranial fossaCrouzon syndromeDysostosisSynostosisMagnetic resonance imagingRadiologySyringomyelia

Abstract

fetched live from OpenAlex

There seems to be an association between type 1 Chiari malformation (CM) and some congenital craniosynostosis syndromes. Type 2 Pfeiffer syndrome is a condition associated with premature fusion of multiple cranial sutures, cloverleaf skull (kleeblatschädel deformity), prominent ptosis, thumb and first toe abnormalities, variable syndactyly, and mutated genes for type 1 or 2 fibroblast growth factor receptor. These children generally do poorly because of significant often severe neurologic and cognitive defects, and many die very young. Roughly half of all patients with Pfeiffer syndrome, and virtually all with type 2 disease, also have type 1 CM. Chiari malformation may not be congenital but acquired as a consequence of the skull deformities and other associated intracranial factors in patients with craniosynostosis. We report a term male infant with type 2 Pfeiffer syndrome, who was not noted to have any CM on initial brain imaging done at 2 months but in whom repeated imaging demonstrated clear evidence of CM by 4 months, despite reconstructive craniotomies and unilateral ventriculoperitoneal shunt insertion. Posterior fossa decompression yielded a good result. This patient provides further evidence to support the concept of acquired tonsillar herniation in patients with craniosynostosis syndromes. The etiology seems multifactorial and related to (1) the disproportionately slow growth of the skull relative to the brain, particularly in the posterior fossa, secondary to early fusion of skull sutures, in turn secondary to congenital deficiencies in fibroblast growth factor receptors; (2) impaired venous sinus drainage; (3) hydrocephalus; and (4) resultant elevations in intracranial pressure.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.408

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.243
Teacher spread0.235 · 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.

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

Citations22
Published2010
Admission routes1
Has abstractyes

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