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Record W4362588598 · doi:10.4244/eij-d-22-00776

Computed tomographic angiography in coronary artery disease

2023· article· en· W4362588598 on OpenAlex
Patrick W. Serruys, Nozomi Kotoku, Bjarne Linde Nørgaard, Scot Garg, Koen Nieman, Marc R. Dweck, Jeroen J. Bax, Juhani Knuuti, Jagat Narula, Divaka Perera, Charles A. Taylor, Jonathon Leipsic, Edward Nicol, Nicolò Piazza, Carl Schultz, Kakuya Kitagawa, Bernard De Bruyne, Carlos Collet, Kaoru Tanaka, Saima Mushtaq, Marta Belmonte, Darius Dudek, Adriana Złahoda-Huzior, Shengxian Tu, William Wijns, Faisal Sharif, Matthew J. Budoff, Johan De Mey, Daniele Andreini, Yoshinobu Onuma

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEuroIntervention · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiac Imaging and Diagnostics
Canadian institutionsMcGill University Health CentreUniversity of British Columbia
FundersNational Heart, Lung, and Blood InstituteTurun Yliopistollinen KeskussairaalaNovo Nordisk FondenAkademia Górniczo-Hutnicza im. Stanislawa StaszicaTurun YliopistoSchool of Medicine, Stanford UniversityLeids Universitair Medisch CentrumUniversiteit LeidenShanghai Jiao Tong UniversityUniversity of GalwayKing's College LondonBritish Heart FoundationCentre Hospitalier Universitaire VaudoisUniversità degli Studi di MilanoMcGill University Health CentreMcGill UniversityAarhus UniversitetshospitalAarhus Universitet
KeywordsMedicineFractional flow reserveRadiologyCoronary artery diseaseCardiologyComputed tomographic angiographyAtherectomyAngiographyComputed tomographicPercutaneousInternal medicineArteryStentCoronary angiographyRestenosisMyocardial infarctionComputed tomography

Abstract

fetched live from OpenAlex

Coronary computed tomographic angiography (CCTA) is becoming the first-line investigation for establishing the presence of coronary artery disease and, with fractional flow reserve (FFR CT ), its haemodynamic significance. In patients without significant epicardial obstruction, its role is either to rule out atherosclerosis or to detect subclinical plaque that should be monitored for plaque progression/regression following prevention therapy and provide risk classification. Ischaemic non-obstructive coronary arteries are also expected to be assessed by non-invasive imaging, including CCTA. In patients with significant epicardial obstruction, CCTA can assist in planning revascularisation by determining the disease complexity, vessel size, lesion length and tissue composition of the atherosclerotic plaque, as well as the best fluoroscopic viewing angle; it may also help in selecting adjunctive percutaneous devices (e.g., rotational atherectomy) and in determining the best landing zone for stents or bypass grafts.

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 score0.013
Threshold uncertainty score0.364

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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 head0.020
GPT teacher head0.280
Teacher spread0.260 · 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