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Record W2510696240 · doi:10.12998/wjcc.v4.i8.233

Secondary aorto-esophageal fistula after thoracic aortic aneurysm endovascular repair treated by covered esophageal stenting

2016· article· en· W2510696240 on OpenAlexaff
Mary Jiayi Tao, Eran Shlomovitz, Gail Darling, Graham Roche‐Nagle

Bibliographic record

VenueWorld Journal of Clinical Cases · 2016
Typearticle
Languageen
FieldMedicine
TopicInfectious Aortic and Vascular Conditions
Canadian institutionsToronto General Hospital
Fundersnot available
KeywordsMedicineSurgeryStentThoracic aortic aneurysmFistulaRadiologyAortic repairEsophageal stentAortic aneurysmEsophagusEndoscopyComputed tomography angiographyCardiothoracic surgeryAngiographyAneurysm

Abstract

fetched live from OpenAlex

Thoracic endovascular aortic repair for thoracic aortic aneurysms is an accepted alternative to open surgery, especially in patients with significant comorbidities. The procedure itself has a low risk of complications and fistulas to surrounding organs are rarely reported. An 86-year-old patient was admitted to our hospital with gastro intestinal (GI) bleeding and a suspected aortoesophageal fistula. Eight months prior, the patient had undergone a stent graft repair of a mycotic thoracic aneurysm. Computerized tomography angiography and upper GI endoscopy confirmed an aortoesophageal fistula, which was treated by esophageal stenting. With early recognition, esophageal stenting may have a role in the initial emergency control of bleeding from and palliation of aortoesophageal fistula.

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)0.002
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
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.029
GPT teacher head0.348
Teacher spread0.319 · 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

Citations30
Published2016
Admission routes1
Has abstractyes

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