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Record W4415547511 · doi:10.1016/j.shj.2025.100743

Impact of Central vs. Noncentral Predominant Jet Location on Clinical Outcomes: Results From the EXPANDed Studies

2025· article· en· W4415547511 on OpenAlex
Jason H. Rogers, Matthew J. Price, Gagan D. Singh, Paul G. Mahoney, Mathew Williams, Paolo Denti, Anita Asgar, Janani Aiyer, R. Stephanie Huang, Jose Luis Zamorano, Federico M. Asch, Francesco Maisano, Saibal Kar, Ralph Stephan von Bardeleben, Evelio Rodríguez

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 · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsMontreal Heart Institute
FundersAbbott Laboratories
KeywordsJet (fluid)Range (aeronautics)Ballistics

Abstract

fetched live from OpenAlex

Background: Mitral transcatheter edge-to-edge repair (M-TEER) is a treatment option for patients with severe mitral regurgitation (MR) at a high surgical risk. Although most MR involves central A2P2 jets, a subset present with noncentral jets, which may introduce procedural complexity and influence outcomes. The objective of the study was to evaluate the impact of main MR jet location (central [A2P2] versus noncentral [A1/P1 or A3/P3]) on procedural success and clinical outcomes following M-TEER. Methods: This analysis used the EXPANDed data set, which included patients undergoing M-TEER with MitraClip G3/G4 systems and echocardiographic core laboratory-assessed main MR jet location. One-year clinical, echocardiographic, and functional outcomes were assessed. Results: = 0.47). Conclusions: In this largest analysis to date of patients with severe MR, main MR jet location did not affect the safety or effectiveness of the MitraClip system. These findings support the use of M-TEER across a range of anatomical presentations, including non-A2P2 MR jets.

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)0.001
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 score0.006
Threshold uncertainty score0.338

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0000.000

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 head0.045
GPT teacher head0.472
Teacher spread0.427 · 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