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Record W1964691607 · doi:10.1159/000151693

Ischemic Mitral Regurgitation: A Complex Multifaceted Disease

2008· review· en· W1964691607 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCardiology · 2008
Typereview
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMedicineMitral regurgitationCardiologyMitral annulusInternal medicineCoronary artery diseaseMitral valve repairMitral valveDiseaseMyocardial infarctionConcomitantRisk stratificationSurgeryBlood pressure

Abstract

fetched live from OpenAlex

Ischemic mitral regurgitation (MR) is a complex multifactorial disease that involves global and regional left ventricular remodeling as well as dysfunction and distortion of the components of the mitral valve including the chordae, annulus and leaflets. This is a frequent (13-59%) complication of myocardial infarction, which is associated with a poor prognosis. The suboptimal results obtained with the most commonly used surgical strategy, that is, restrictive annuloplasty combined with coronary artery bypass graft, emphasize the need to develop alternative or concomitant surgical techniques that directly target the causal mechanisms of the disease. A comprehensive assessment of mitral valve configuration and left ventricular geometry and function prior to surgery as well as an accurate quantification of MR severity at rest and during exercise may help improve patient risk stratification and better individualize the surgical strategy based on the patient's specific characteristics. The purpose of this review is to summarize the current state of knowledge with regard to the definition, prevalence, mechanisms, outcome and treatment of ischemic MR.

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.

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)0.000
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 score0.814
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.009
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.092
GPT teacher head0.427
Teacher spread0.335 · 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