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Record W2064242341 · doi:10.1001/jama.2013.281718

Coronary Artery Bypass Graft Surgery vs Percutaneous Interventions in Coronary Revascularization

2013· review· en· W2064242341 on OpenAlexafffund
Saswata Deb, Harindra C. Wijeysundera, Dennis T. Ko, Hideki Tsubota, Samantha Hill, Stephen E. Fremes

Bibliographic record

VenueJAMA · 2013
Typereview
Languageen
FieldMedicine
TopicCardiac and Coronary Surgery Techniques
Canadian institutionsHealth Sciences CentreUniversity of TorontoInstitute for Clinical Evaluative SciencesSunnybrook Health Science Centre
FundersCanadian Institutes of Health Research
KeywordsMedicineInternal medicineCardiologyConventional PCIPercutaneous coronary interventionMyocardial infarctionCoronary artery diseaseRevascularizationBypass surgeryCoronary artery bypass surgeryRandomized controlled trialStroke (engine)SurgeryArtery

Abstract

fetched live from OpenAlex

IMPORTANCE: Ischemic heart disease is the leading cause of death globally. Coronary artery bypass graft (CABG) surgery and percutaneous coronary intervention (PCI) are the revascularization options for ischemic heart disease. However, the choice of the most appropriate revascularization modality is controversial in some patient subgroups. OBJECTIVE: To summarize the current evidence comparing the effectiveness of CABG surgery and PCI in patients with unprotected left main disease (ULMD, in which there is >50% left main coronary stenosis without protective bypass grafts), multivessel coronary artery disease (CAD), diabetes, or left ventricular dysfunction (LVD). EVIDENCE REVIEW: A search of OvidSP MEDLINE, EMBASE, and Cochrane databases between January 2007 and June 2013, limited to randomized clinical trials (RCTs) and meta-analysis of trials and/or observational studies comparing CABG surgery with PCI was performed. Bibliographies of relevant studies were also searched. Mortality and major adverse cardiac and cerebrovascular events (MACCE, defined as all-cause mortality, myocardial infarction, stroke, and repeat revascularization) were reported wherever possible. FINDINGS: Thirteen RCTs and 5 meta-analyses were included. CABG surgery should be recommended in patients with ULMD, multivessel CAD, or LVD, if the severity of coronary disease is deemed to be complex (SYNTAX >22) due to lower cardiac events associated with CABG surgery. In cases in which coronary disease is less complex (SYNTAX ≤22) and/or the patient is a higher surgical risk, PCI should be considered. For patients with diabetes and multivessel CAD, CABG surgery should be recommended as standard therapy irrespective of the severity of coronary anatomy, given improved long-term survival and lower cardiac events (5-year MACCE, 18.7% for CABG surgery vs 26.6% for PCI; P = .005). Overall, the incidence of repeat revascularization is higher after PCI, whereas stroke is higher after CABG surgery. Current literature emphasizes the importance of a heart-team approach that should consider coronary anatomy, patient characteristics, and local expertise in revascularization options. Literature pertaining to revascularization options in LVD is scarce predominantly due to LVD being an exclusion factor in most studies. CONCLUSIONS AND RELEVANCE: Both CABG surgery and PCI are reasonable options for patients with advanced CAD. Patients with diabetes generally have better outcomes with CABG surgery than PCI. In cases of ULMD, multivessel CAD, or LVD, CABG surgery should be favored in patients with complex coronary lesions and anatomy and PCI in less complicated coronary disease or deemed a high surgical risk. A heart-team approach should evaluate coronary disease complexity, patient comorbidities, patient preferences, and local expertise.

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)0.006
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0040.006
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0140.001

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 head0.049
GPT teacher head0.317
Teacher spread0.268 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations273
Published2013
Admission routes2
Has abstractyes

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