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Record W2345151879 · doi:10.5430/jbgc.v6n2p1

Swyer-James syndrome with vascular ring in a child: Echocardiogrpahic diagnosis

2016· article· en· W2345151879 on OpenAlexvenueno aff
Fong-Lin Chen, Wei‐Cheng Chen, Shu Min Kuo

Bibliographic record

VenueJournal of Biomedical Graphics and Computing · 2016
Typearticle
Languageen
FieldMedicine
TopicTracheal and airway disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineVascular ringCardiologyStenosisRight pulmonary arteryBronchusTracheobronchomalaciaBalloon dilatationPulmonary arteryBronchoscopyRadiologyInternal medicineLungAortaRespiratory diseaseAortic arch

Abstract

fetched live from OpenAlex

Swyer-James syndrome (SJS) is a relatively uncommon type of postinfectious obliterative bronchiolitis as a result of respiratory tract infection (RTI) in early childhood. Vascular ring (VR) is usually an underlying cause of RTI. When VR complicated with SJS, both diseases can be a relationship of cause and result, but have not been published in the past. Herein, we described an 8-year-old female school-age child who had history of recurrent RTI since age of 6 months. After screening echocardiographic findings of hypoplastic left pulmonary artery and aberrant right subclavian artery (ARSCA), confirmed by multisliced CT and functional evaluation by bronchoscopy and manometry. After she underwent aortopexy for ARSCA and balloon dilatation of constrictive bronchus and tracheal stenosis, and her growth pattern and pulmonary function improved progressively. Early detection by echocardiography and elimination of the associated underlying airway obstruction were mandatory for improvement of pulmonary function.

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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.221
Teacher spread0.215 · 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
Published2016
Admission routes1
Has abstractyes

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