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Record W2976801656 · doi:10.1097/hco.0000000000000685

Mechanical circulatory support in the context of coronary artery bypass grafting

2019· review· en· W2976801656 on OpenAlexaff
Ming Hao Guo, Thin Xuan Vo, Duc Thinh Pham, Hadi Toeg

Bibliographic record

VenueCurrent Opinion in Cardiology · 2019
Typereview
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineCardiogenic shockExtracorporeal membrane oxygenationArteryCardiologyInternal medicineMyocardial infarctionCirculatory systemContext (archaeology)Cardiopulmonary bypassCoronary artery bypass surgeryImpellaSurgery

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: With the continuous innovation in mechanical circulatory support as an option for the management of patients in cardiogenic shock from myocardial infarction, it is important to understand the current evidence and recommendations for the use of these devices for patients who require or underwent coronary artery bypass surgery. RECENT FINDINGS: The use of mechanical circulatory support (MCS) in patients with cardiogenic shock who require or underwent coronary artery bypass surgery has not been well studied. Observational studies have shown that the use of intra-aortic balloon pump or percutaneous ventricular assist devices prior to revascularization lead to better survival. Extracorporeal membrane oxygenation (ECMO) still carries significant risk of mortality and complications; the use of additional MCS devices for left ventricular unloading during ECMO improves outcomes. SUMMARY: MCS will continue to play an important role in coronary artery surgery patients. Multidisciplinary Cardiac Shock Team can assist in proper patient selection and device choice, whereas prospective clinical trials are required to provide evidence-based guidance towards the management of these patients.

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 score0.989
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.121
GPT teacher head0.351
Teacher spread0.230 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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