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Record W4410746998 · doi:10.1080/14796678.2025.2509458

An evaluation of the SavvyWire as a support wire for TAVR procedures

2025· review· en· W4410746998 on OpenAlexaff
Julio I. Farjat‐Pasos, Marisa Avvedimento, Josep Rodés‐Cabau

Bibliographic record

VenueFuture Cardiology · 2025
Typereview
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMedicineValve replacementInternal medicineMedical physics

Abstract

fetched live from OpenAlex

Transcatheter aortic valve replacement (TAVR) represents a minimally invasive alternative for the treatment of severe symptomatic aortic stenosis and is increasingly adopted in younger and lower-risk patients. A support guidewire placed in the left ventricle is required in all TAVR procedures, and rapid ventricular pacing is frequently used to ensure valve implant stability. Also, recent studies showed a correlation between post-TAVR hemodynamic gradients and clinical outcomes, underscoring the importance of accurate invasive measurements. The SavvyWire™ (Opsens Medical) is a novel support guidewire designed for TAVR procedures that integrates left ventricular pacing and invasive pressure measurement capabilities, enabling continuous hemodynamic monitoring and simplifying the procedure. This review outlines the SavvyWire's™ design features and summarizes clinical evidence supporting its use in TAVR 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.035
GPT teacher head0.447
Teacher spread0.412 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations2
Published2025
Admission routes1
Has abstractyes

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