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Record W4417294770 · doi:10.1016/j.shj.2025.100786

Impact of Anticoagulant Class on Long-Term Bioprosthesis Durability Following Transcatheter Aortic Valve Replacement

2025· article· en· W4417294770 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 · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsValve replacementDurabilityAnticoagulantAnticoagulant therapyRandomized controlled trialAortic valve

Abstract

fetched live from OpenAlex

Background: Vitamin K antagonists (VKAs) and direct oral anticoagulants (DOACs) have distinct biological properties that may differentially influence bioprosthetic valve durability following transcatheter aortic valve replacement. The aim of this study was to explore the effect of oral anticoagulation (OAC) class on bioprosthetic valve durability. Methods: We analyzed the data of a prospective registry including 688 consecutive patients under OAC undergoing transcatheter aortic valve replacement between May 2007 and January 2024 who were alive at 1 year. The effect of OAC class was assessed using a propensity score-matched population (132 patients with VKA vs. 132 patients with DOAC). The primary endpoint was the occurrence of stage 2 or 3 hemodynamic valve deterioration according to Valve Academic Research Consortium-3 criteria. Results: = 0.981). Long-term echocardiographic follow-up showed similar evolution of hemodynamic parameters over time. Conclusions: No significant differences were observed between VKAs and DOACs on valve durability outcomes. Further studies with longer follow-up, larger population, and randomized designs are warranted to confirm these findings.

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 score0.004
Threshold uncertainty score0.583

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.005
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 head0.015
GPT teacher head0.376
Teacher spread0.361 · 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