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Record W2937618470 · doi:10.1093/eurheartj/ehz222

Mitral regurgitation in heart failure: time for a rethink

2019· article· en· W2937618470 on OpenAlexaff
Fabien Praz, Carmelo Grasso, Maurizio Taramasso, Andreas Baumbach, Nicolò Piazza, Corrado Tamburino, Stephan Windecker, Francesco Maisano, Bernard Prendergast

Bibliographic record

VenueEuropean Heart Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineCardiologyHeart failureInternal medicineMitral regurgitationFunctional mitral regurgitationEjection fraction

Abstract

fetched live from OpenAlex

Secondary (or functional) mitral regurgitation (MR) frequently accompanies heart failure syndromes and is associated with poor prognosis. 1 Initial surgical approaches 2 failed to impact on outcome in contrast with optimized medical therapy, cardiac resynchronization therapy (CRT), long-term ventricular assist devices, and cardiac transplantation. Valve surgery remains challenging in this setting, with inferior outcomes than in primary (or degenerative) MR, and the indications and choice of technique are not supported by robust evidence. Transcatheter treatment of primary and secondary MR has emerged as an alternative using a variety of approaches. Of these, the most widely adopted has been edge-to-edge repair using the MitraClip device (Abbott Vascular). However, despite application in >70 000 patients since 2003 and favourable evidence compared with surgery in patients with mainly primary MR (73%), 4 there have been no published randomized studies focusing on subjects with secondary MR. Until now.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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 head0.020
GPT teacher head0.334
Teacher spread0.314 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations51
Published2019
Admission routes1
Has abstractyes

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