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Record W2326448767 · doi:10.1177/2150135112443268

Conservative Management of Iatrogenic Esophageal Perforation During Neonatal Cardiac Surgery

2012· article· en· W2326448767 on OpenAlexaff
Takashi Sasaki, Gordon Culham, Sanjiv K. Gandhi

Bibliographic record

VenueWorld Journal for Pediatric and Congenital Heart Surgery · 2012
Typearticle
Languageen
FieldMedicine
TopicEsophageal and GI Pathology
Canadian institutionsBC Children's Hospital
Fundersnot available
KeywordsMedicinePerforationSurgeryIntubationIatrogenic injuryConservative management

Abstract

fetched live from OpenAlex

Esophageal perforation is a rare, but life threatening, entity in children. The most common iatrogenic causes include nasogastric tube insertion, stricture dilation, or endotracheal intubation. Recently, transesophageal echocardiography (TEE) has been increasingly used in pediatric cardiac surgery to assess cardiac function and structural abnormalities. The safety of TEE in children is still controversial and complications such as airway obstruction, hemodynamic compromise, and esophageal injury have been reported. We recently experienced a case of esophageal perforation caused by TEE probe insertion during neonatal cardiac surgery; two weeks of conservative management resulted in complete resolution of the injury.

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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.024
GPT teacher head0.271
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

Citations8
Published2012
Admission routes1
Has abstractyes

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