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Record W4308921579 · doi:10.1016/j.shj.2022.100114

Percutaneous Transcatheter Edge-to-Edge Mitral Valve Repair With MitraClip System in the Era of G4

2022· article· en· W4308921579 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

VenueStructural Heart · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMitraClipMitral regurgitationMedicineMitral valvePercutaneousMitral valve repairRadiologyCardiologySurgeryInternal medicine

Abstract

fetched live from OpenAlex

The use of transcatheter edge-to-edge mitral valve repair (TEER) in symptomatic patients with severe mitral regurgitation (MR) has dramatically increased over the last few years. Current guidelines consider TEER as a reasonable option in symptomatic patients with primary or chronic secondary severe MR with high or prohibitive surgical risk and favorable anatomy. However, several anatomical and morphological mitral features have restricted the use of this mini-invasive technique in its early experience. The latest fourth generation (G4) of the MitraClip system has been recently introduced and includes the possibility of independent leaflet grasping and 4 different sizes. This technical update offers the possibility of selecting and combining multiple devices for complex mitral valve anatomies and challenging procedures, which helps expand the applications of TEER. The present review describes the potential advantages and the help of the MitraClip G4 devices to overcome various anatomic and morphologic issues in challenging cases with complex primary and secondary MR procedures.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.428

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.003
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)0.0000.000

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 head0.009
GPT teacher head0.286
Teacher spread0.277 · 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