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Record W2015404031 · doi:10.1002/uog.13350

Beals syndrome (congenital contractural arachnodactyly): prenatal ultrasound findings and molecular analysis

2014· article· en· W2015404031 on OpenAlexaff
Michal Inbar‐Feigenberg, Natalie Meirowitz, Deepak Nanda, Ants Toi, Nanette Okun, David Chitayat

Bibliographic record

VenueUltrasound in Obstetrics and Gynecology · 2014
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsMount Sinai HospitalSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineArthrogryposis multiplex congenitaArachnodactylyPrenatal diagnosisGenetic counselingMarfan syndromePregnancyFetusSurgeryArthrogryposisGenetics

Abstract

fetched live from OpenAlex

We report the prenatal findings in two cases of Beals syndrome. Both pregnancies presented with clinical features of arthrogryposis multiplex congenita/fetal akinesia syndrome (AMC/FAS), including clenched fists and multiple joint contractures on repeat prenatal ultrasound examinations. The first case was diagnosed as having Beals syndrome on physical examination shortly after birth and the diagnosis was confirmed by DNA analysis, shown as a point mutation in the fibrillin 2 (FBN2) gene. The second case was diagnosed with Beals syndrome following microarray analysis on amniocytes, which showed a deletion of the FBN2 gene. Although most cases with AMC/FAS carry a poor prognosis, Beals syndrome is consistent with normal cognitive development and a better prognosis. Thus, making the correct diagnosis is crucial, both pre- and postnatally, for accurate counseling and management.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.008
GPT teacher head0.255
Teacher spread0.247 · 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 designCase report
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

Citations16
Published2014
Admission routes1
Has abstractyes

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