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Record W4415341858 · doi:10.14740/jmc5157

Perioperative Care of a Pediatric Patient With Beals Syndrome

2025· article· en· W4415341858 on OpenAlexvenueno aff
Aubrey Wrona, Jay Holladay, Joseph D. Tobias

Bibliographic record

VenueJournal of Medical Cases · 2025
Typearticle
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsnot available
Fundersnot available
KeywordsAnestheticConnective tissueMarfan syndromeDeformityPerioperativeScoliosis

Abstract

fetched live from OpenAlex

The trismus pseudocamptodactyly syndrome (Beals syndrome) is an uncommon autosomal dominant condition first described in 1971. The disorder shares phenotypic similarities with Marfan syndrome. Affected patients classically present with two main physical features: limited excursion of the mandible and flexion deformity of the fingers that occurs with wrist extension (pseudocamptodactyly). The primary cellular defect is a mutation of the fibrillin-2 (FBN2) gene on chromosome 5q23. Mutations to this gene change the structure of the FBN2 protein, decreasing the elasticity and altering the strength of microfibrils in the connective tissue. The connective tissue defect leads to short muscle tendon units, which prevent normal growth and development. We present an 11-year-old boy with Beals syndrome who presented for anesthetic care during posterior spinal fusion (PSF). To date, there are a limited number of reports in the literature outlining anesthetic care in these patients. End-organ involvement of Beals syndrome is outlined, the potential impact on perioperative care discussed, and previous reports of anesthetic care reviewed.

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)0.001
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
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 head0.019
GPT teacher head0.341
Teacher spread0.322 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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