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Clinical trials of coronary revascularization: coronary angioplasty vs. coronary bypass grafting

2000· review· en· W2333298572 on OpenAlexaff
Martial G. Bourassa

Bibliographic record

VenueCurrent Opinion in Cardiology · 2000
Typereview
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsMedicineBypass graftingAngioplastyCardiologyInternal medicineRevascularizationArteryMyocardial infarction

Abstract

fetched live from OpenAlex

In the absence of diabetes mellitus, rates of survival and of survival free of myocardial infarction (MI) are almost identical among patients with multivessel disease assigned to percutaneous transluminal coronary angioplasty (PTCA) versus those assigned to coronary artery bypass grafting (CABG) after 6.5 to 8 year follow-up period. Additional revascularization occurs 2.5 to 4.5 times more frequently in PTCA-treated than in CABG-treated patients and prevalence of angina is no longer statistically different between the two treatment groups. The excess health care costs of bypass surgery, which are important early after revascularization, almost disappear 5 to 8 years later. In patients with single vessel disease, survival free of MI is also comparable in both treatment groups at 5 years. Additional revasculariztion occurs two to four times more often in PTCA-treated than in CABG-treated patients and prevalence of angina does not differ between the two treatment groups. Thus, in nondiabetic patients with multivessel disease, the choice of a revascularization strategy rests on the patient's and treating physician's preference between the invasive nature of bypass surgery and the risk of recurrent procedures. In patients with single vessel disease, these long-term data suggest that bypass surgery is at least as safe and effective as coronary angioplasty and therefore may be a treatment option in selected cases.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.917
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0090.005
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.288
GPT teacher head0.506
Teacher spread0.218 · 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 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

Citations7
Published2000
Admission routes1
Has abstractyes

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