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Record W2079845361 · doi:10.1097/hco.0b013e3282f43011

Revascularization for ischaemic cardiomyopathy

2008· review· en· W2079845361 on OpenAlexaff
Ganesh Shanmugam, Jean‐François Légaré

Bibliographic record

VenueCurrent Opinion in Cardiology · 2008
Typereview
Languageen
FieldMedicine
TopicCardiac Imaging and Diagnostics
Canadian institutionsAtlantic School of TheologyDalhousie University
Fundersnot available
KeywordsMedicineCardiologyRevascularizationInternal medicineCardiomyopathyHeart failureMyocardial infarction

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Coronary artery disease is the most common cause of heart failure and is referred to as 'ischaemic cardiomyopathy'. There are no established guidelines for the role of revascularization in patients with heart failure in the absence of angina. This review evaluates the current state of knowledge on revascularization for the treatment of ischaemic cardiomyopathy. RECENT FINDINGS: A large body of literature has supported the theoretical benefit of revascularization in recruiting hibernating or stunned myocardium. This has been supported by recent registry and population-based studies demonstrating a survival benefit after revascularization in patients with heart failure and coronary artery disease independent of angina. Some studies have suggested that coronary artery bypass grafting may be superior to percutaneous coronary intervention in a select group of patients. To date no randomized clinical trials have addressed the role of revascularization in this patient population. The STICH trial is the first randomized study specifically to assign patients predominantly with heart failure symptoms to surgery versus medical management, and is expected to be completed in 2008. SUMMARY: Despite the lack of level 1 evidence, there is sufficient reasonable evidence lending credence to the concept that revascularization should be considered in patients with ischaemic cardiomyopathy.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.924
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.124
GPT teacher head0.423
Teacher spread0.299 · 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

Citations16
Published2008
Admission routes1
Has abstractyes

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