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Record W4413892790 · doi:10.1186/s13019-025-03526-3

Edinburgh Aortic Summit 2025

2025· article· en· W4413892790 on OpenAlexfundno aff

Bibliographic record

VenueJournal of Cardiothoracic Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicAortic aneurysm repair treatments
Canadian institutionsnot available
FundersInstitute of GeneticsUniversity of Edinburgh
KeywordsSummitCardiac surgeryCardiothoracic surgeryMedicineGeneral surgeryCardiologySurgeryGeographyCartography

Abstract

fetched live from OpenAlex

The Scottish dedicated aortic service was established in 2018.We present medium term survival outcomes for patients who have undergone a total aortic arch replacement procedure followed by either an open or endovascular second stage procedure to treat complex arch and thoracoabdominal aortic disease.Thirty-three consecutive patients who underwent either elective or emergency total arch replacement followed by a second stage procedure between 2018 and 2022 were included.These data were analysed using the R programming software.Survival analysis was performed through generation of Kaplan Meier curves, with censoring at either death or date of last follow-up.Taking the date of total arch replacement as day zero, open second stage repair had a one year survival of 93% and two year survival of 81%.Endovascular second stage repair had a one year survival of 87% and a 2 year survival of 80%.Median time between first and second stage repair was 203 days (IQR 72:311).In this cohort there is no evidence of a medium term survival difference between open and endovascular second stage procedure following total arch replacement p = 0.83.This small observational cohort has limitations, and significant confounding exists since surgical options were often influenced by underlying patient factors.These data add to an understanding of survival outcomes in a complex surgical domain.

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 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)0.001
metaresearch head score (Gemma)0.001
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 score0.072
Threshold uncertainty score0.645

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
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 head0.324
Teacher spread0.302 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2025
Admission routes1
Has abstractyes

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