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Record W4224241219 · doi:10.1093/eurheartj/ehac216

Left main revascularization: an evidence-based reconciliation

2022· article· en· W4224241219 on OpenAlexaff
Michael E. Farkouh, Gregg W. Stone

Bibliographic record

VenueEuropean Heart Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsHeart and Stroke FoundationUniversity of Toronto
Fundersnot available
KeywordsMedicineConventional PCIPercutaneous coronary interventionMaceMyocardial infarctionRevascularizationCardiologyInternal medicineCoronary artery diseaseStroke (engine)

Abstract

fetched live from OpenAlex

Percutaneous coronary intervention (PCI) and coronary artery bypass graft (CABG) surgery are two very different procedures with varying early and late risks and benefits. For many patients with left main coronary artery disease, the choice between PCI and CABG will be agreed upon by all specialists. For example, CABG may be strongly preferred by the heart team if extensive non-left main-related coronary artery disease is present (high SYNTAX score), and PCI may be strongly preferred if multiple clinical comorbidities are present (e.g. prior stroke, lung disease, frailty). For other patients in whom revascularization can be completed safely with both procedures (i.e. equipoise is present) there will be substantial and comparable long-term improvements in survival and quality of life after both PCI and CABG. In such cases, patient preference regarding the early vs. late trade-offs of the procedures (safety profile of PCI vs. durability of CABG) should inform clinical decision-making. AKI, acute kidney injury; MACE, major adverse cardiovascular events; MI, myocardial infarction.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.102
GPT teacher head0.334
Teacher spread0.232 · 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.

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

Citations14
Published2022
Admission routes1
Has abstractyes

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