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Record W2588184702 · doi:10.1542/peds.2016-1281

Are Patients With Loeys-Dietz Syndrome Misdiagnosed With Beals Syndrome?

2017· article· en· W2588184702 on OpenAlexaff
Rebecca Woolnough, Andrew Dhawan, Kimberly Dow, Jagdeep S. Walia

Bibliographic record

VenuePEDIATRICS · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective tissue disorders research
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineArachnodactylyOMIM : Online Mendelian Inheritance in ManMarfan syndromePhenotypeInternal medicineGeneticsGene

Abstract

fetched live from OpenAlex

Beals syndrome, also known as congenital contractural arachnodactyly (Online Mendelian Inheritance in Man: 121050), is an autosomal dominant disorder caused by a mutation in FBN2 that is typically characterized by congenital contractures and arachnodactyly. It shares a number of phenotypic features with Loeys-Dietz syndrome (Online Mendelian Inheritance in Man: 609192). Loeys-Dietz syndrome, initially described in 2005, is associated with mutations for the transforming growth factor β receptor and is characterized by findings of cerebral, thoracic, and abdominal arterial aneurysms. This report describes a 17-year-old male patient with a typical neonatal diagnosis of Beals syndrome. At age 15 years, an echocardiogram conducted in response to an aortic dissection in his father showed moderate aortic root dilation, prompting comprehensive testing for aortopathies, revealing a mutation in TGFBR1, thereby changing the diagnosis to Loeys-Dietz syndrome. Previously published reports have not implicated any mutation of the transforming growth factor β receptor genes in cases of Beals syndrome. This case underscores that due to significant phenotypic overlap, there is utility in a full panel of testing, including genes for hereditary connective tissue disorders with vascular involvement, as well as FBN2. Likewise, young patients who have tested negative for FBN2 should be tested for hereditary connective tissue disorders with vascular involvement.

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)0.001
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 score0.004
Threshold uncertainty score0.757

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
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 head0.011
GPT teacher head0.261
Teacher spread0.250 · 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

Citations11
Published2017
Admission routes1
Has abstractyes

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