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Abstract P221: Coronary Artery Bypass Grafting versus Percutaneous Coronary Intervention for Patients With Severe Left Ventricular Dysfunction: Superior Outcomes With Surgery

2011· article· en· W2526771137 on OpenAlexaffabout
Jeevan Nagendran, Colleen M. Norris, Michelle M. Graham, Roderick MacArthur, Teresa M Keiser, Andrew Maitland, Steven Meyer

Bibliographic record

VenueCirculation Cardiovascular Quality and Outcomes · 2011
Typearticle
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsMedicineCardiologyConventional PCIInternal medicineEjection fractionPercutaneous coronary interventionHazard ratioCoronary artery diseaseHeart failureArteryRevascularizationDiabetes mellitusMyocardial infarctionConfidence interval

Abstract

fetched live from OpenAlex

Background: The efficacy of coronary artery bypass grafting (CABG) and percutaneous coronary intervention (PCI) in patients with multivessel coronary artery disease (CAD) has been well-defined by randomized controlled trials. However, patients with severe left ventricular dysfunction (ejection fraction <35%; EF) were under-represented in these trials. We sought to compare the outcomes of patients with multivessel CAD and EF<35% undergoing CABG vs. PCI. Methods: We used APPROACH, a clinical data collection initiative, capturing all patients undergoing cardiac catheterization and revascularization in the province of Alberta, Canada, to identify 2477 patients with multivessel CAD and EF<35% undergoing CABG (n=1242) or PCI (n=1235) between 1995 and 2008. Results: Patients undergoing CABG were slightly older (65.8 vs. 65.3 years; p=0.269), more likely to have three vessel CAD (62% vs. 56%; p<0.001), male gender (85% vs. 77%; p<0.001), diabetes (39% vs. 27%; p<0.001), peripheral vascular disease (PVD; 14% vs. 8%, p<0.001), congestive heart failure (CHF; 46% vs. 41%, p=0.012), and COPD (21% vs. 16%, p=0.005). Unadjusted survival at 1, 5, and 12 years in the CABG vs. PCI groups was 90% vs. 86%, 75% vs 71%, and 47% vs. 48%, respectively (p=0.394). After controlling for differences in baseline risk factors, CABG was associated with improved long term outcomes. Multivariable logistic regression identified PCI was significantly associated with a higher risk of death compared to CABG (adjusted hazard ratio, 1.20; 95% CI, 1.03 to 1.40). Other significant predictors of poor long-term survival included COPD (adjusted hazard ratio, 1.19; 95% CI, 1.01 to 1.40), renal failure (adjusted hazard ratio, 2.33; 95% CI, 1.80 to 3.04), CHF (adjusted hazard ratio, 1.19; 95% CI, 1.04 to 1.37), diabetes (adjusted hazard ratio, 1.21; 95% CI, 1.06 to 1.40), PVD (adjusted hazard ratio, 1.31; 95% CI, 1.09 to 1.59), and prior CABG (adjusted hazard ratio, 1.30; 95% CI, 1.04 to 1.62). Conclusion: In patients with multivessel CAD and left ventricular dysfunction, CABG was associated with better survival than PCI after adjustment for baseline risk profile differences. Further research exploring the factors leading to use of a particular revascularization modality is required.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.051
GPT teacher head0.274
Teacher spread0.224 · 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 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

Citations1
Published2011
Admission routes2
Has abstractyes

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