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Record W2888838672 · doi:10.1097/hco.0000000000000566

Left ventricular function recovery after revascularization

2018· review· en· W2888838672 on OpenAlexaff
Janet M.C. Ngu, Marc Ruel, Louise Y. Sun

Bibliographic record

VenueCurrent Opinion in Cardiology · 2018
Typereview
Languageen
FieldMedicine
TopicCardiovascular Function and Risk Factors
Canadian institutionsMuscular Dystrophy CanadaUniversity of Ottawa
Fundersnot available
KeywordsMedicineEjection fractionConventional PCICardiologyInternal medicineIschemic cardiomyopathyPercutaneous coronary interventionHeart failureRevascularizationCardiomyopathyMyocardial infarction

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: In 2013, heart failure with recovered ejection fraction (HFrecEF) was introduced as a new heart failure phenotype. This review provides an overview of HFrecEF and the comparative effects of percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) on left ventricular ejection fraction (LVEF) recovery in patients with ischemic cardiomyopathy. RECENT FINDINGS: There has been emerging data indicating that LV functional recovery is possible and HFrecEF is associated with improved survival and better quality of life. CABG may be associated with larger improvement in LVEF when compared with PCI. However, there is significant paucity of studies, which directly compare the impact of PCI and CABG on LVEF recovery in the setting of ischemic cardiomyopathy. SUMMARY: LVEF recovery is emerging as an important outcome with demonstrated survival and quality-of-life benefits. Future randomized clinical trials comparing the impact of contemporary PCI and CABG on LVEF recovery are needed in patients with ischemic 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)0.001
metaresearch head score (Gemma)0.000
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 score0.963
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.062
GPT teacher head0.351
Teacher spread0.289 · 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

Citations13
Published2018
Admission routes1
Has abstractyes

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