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Record W3137649321 · doi:10.18295/squmj.2021.21.01.017

Chronic Blunt Traumatic Thoracic Aortic Injuries

2021· article· en· W3137649321 on OpenAlexaff
Sara S. H. Al-Adawi, Ahmed A. Naiem, Ibrahim Abdelhady, Rashid Al-Sukaiti, Mahmood Al-Hajeri, Edwin Stephen, Sulaiman Saif Salim Alshamsi, Khalifa Al-Wahaibi

Bibliographic record

VenueSultan Qaboos University medical journal · 2021
Typearticle
Languageen
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineBluntPseudoaneurysmThoracic aortaAsymptomaticSurgeryRadiologyAortic ruptureBlunt traumaAortaAneurysmAortic aneurysm

Abstract

fetched live from OpenAlex

Blunt thoracic aortic injuries are potentially lethal. Those who survive may form an organised haematoma in the periadventitial space resulting in a pseudoaneurysm, which may be identified incidentally decades later. While the role of thoracic endovascular aortic repair (TEVAR) in acute settings has been established, its role in chronic cases is yet to be defined. We report three cases that were diagnosed incidentally six, nine and 18 years after the injury. Two were managed by TEVAR while the third declined intervention and is on annual follow-up. Patients with asymptomatic and stable pseudoaneurysms of the descending thoracic aorta should be offered surveillance versus TEVAR because the risk of rupture is not negligible, whilst taking into account the patient's level of physical activity. These three cases highlight the importance of early diagnosis of aortic injuries in blunt trauma and its grading.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.020
GPT teacher head0.284
Teacher spread0.264 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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