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Record W4310596277 · doi:10.1159/000528071

Fetal Endoscopic Tracheal Intubation: Modification of the Fetal Endoscopic Tracheal Intubation Procedure to Establish an Airway in a Fetus with a Congenital Cervical Teratoma

2022· article· en· W4310596277 on OpenAlex
Homero Flores Mendoza, Paolo Campisi, Poorva Deshpande, Nimrah Abbasi, Tim Van Mieghem, Johannes Keunen, Greg Ryan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFetal Diagnosis and Therapy · 2022
Typearticle
Languageen
FieldMedicine
TopicTeratomas and Epidermoid Cysts
Canadian institutionsHospital for Sick ChildrenUniversity of TorontoSickKids FoundationMount Sinai Hospital
Fundersnot available
KeywordsMedicineAirwayIntubationFetusTracheal intubationFetoscopySurgeryFetal surgeryAnesthesiaIn uteroPrenatal diagnosisPregnancy

Abstract

fetched live from OpenAlex

INTRODUCTION: FETI is a technique where the fetal airway is secured in-utero via intubation by percutaneous endoscopic fetal tracheoscopy under ultrasound guidance. FETI has been described in large fetal neck masses with anatomical airway compression as a feasible airway management strategy and a potential alternative to an EXIT procedure in select cases. CASE PRESENTATION: This report describes the use of a modified FETI procedure under continuous fetoscopic and ultrasound guidance, in a fetus with a large cervical teratoma causing airway displacement and compression. Following the FETI procedure, an uncomplicated caesarean section was performed. The endotracheal tube was in place at the time of birth, and a patent airway was confirmed. CONCLUSION: The modified FETI procedure described in this report represents another technique that can be used to establish an airway in fetuses with challenging upper airway anatomy, potentially mitigating the risks associated with an EXIT procedure.

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.

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 score0.258
Threshold uncertainty score0.898

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.022
GPT teacher head0.273
Teacher spread0.252 · 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