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Record W4415612275 · doi:10.1161/jaha.124.038659

Dedicated Versus Conventional Devices in Patients With Pure Native Aortic Regurgitation: A Systematic Review and Meta‐Analysis

2025· review· en· W4415612275 on OpenAlexaffabout
Elena Bacigalupi, Luca Scorpiglione, Bernard Prendergast, Francesco Radico, Emanuele Gallinoro, Antonio L. Bartorelli, Ignacio J. Amat‐Santos, Marco Barbanti, Ole De Backer, Azeem Latib, Jacopo Pizzicannella, Simona Chiusolo, Nicolas M. Van Mieghem, Matteo Perfetti, Luca Testa, Ron Waksman, Francesco Pelliccia, Fabio Miraldi, George Dangas, Marco Zimarino

Bibliographic record

VenueJournal of the American Heart Association · 2025
Typereview
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsSt. Thomas Hospital
FundersAbbott VascularBoston Scientific CorporationEdwards Lifesciences
KeywordsMEDLINECoronary artery diseaseMyocardial infarctionPercutaneous coronary interventionAortic aneurysm

Abstract

fetched live from OpenAlex

Background Surgical aortic valve replacement is the gold standard for treating pure native aortic regurgitation. However, many patients have unacceptable surgical risk. Increasing evidence supports the use of transcatheter aortic valve replacement in this subset. This metanalysis aims to evaluate transcatheter aortic valve replacement efficacy in pure native aortic regurgitation. Methods We systematically searched MEDLINE/PubMed, Embase, the Cochrane Database, Google Scholar, ClinicalTrials.gov , and major cardiology conference abstracts from inception to April 1, 2024, and included 19 observational studies with ≥20 patients with pure native aortic regurgitation undergoing transcatheter aortic valve replacement. The primary end point was 30‐day all‐cause mortality; secondary end points were device success, valve migration, and 1‐year all‐cause mortality. Pooled estimates were calculated using random‐effects meta‐analysis. Risk of bias was assessed using the Newcastle–Ottawa Scale and publication bias with funnel plots and Egger’s test. The study protocol was registered in International Prospective Register of Systematic Reviews (CRD42024534117). Results The pooled 30‐day mortality was 8.7% (95% CI, 5.8%–10.7%), and decreased from first (16.9% [95% CI, 13.2%–18.9%]) to second generation (7.2% [95% CI, 6.1%–9.2%]) and dedicated devices (4.7% [95% CI, 1.8%–8.9%; P <0.0001]). Overall device success was 84.1% (95% CI, 78.0%–88.9%), improving from first (63.1% [95% CI, 52.0%–72.5%]) to second generation (86.3% [95% CI, 80.1%–90.4%]) and dedicated devices (93.0% [95% CI, 86.2%–97.3%]; P <0.00001). Valve migration occurred in 7.8% (95% CI, 5.0%–11.7%) of cases, decreasing from first (19.0% [95% CI, 15.2%–24.7%]) to second generation (6.9% [95% CI, 3.7%–10.0%]) and dedicated devices (3.0% [95% CI, 1.3%–5.6%]; P <0.00001). Overall 1‐year mortality was 14.0% (95% CI, 10.1%–19.9%) and decreased from first (27.2% [95% CI, 15.4%–43.2%]) to second generation (12.7% [95% CI, 8.8%–18.9%]) and dedicated devices (8.7% [95% CI, 3.5%–16.7%]; P <0.0001). Conclusions Although the observational design, lack of patient‐level data, device heterogeneity, and potential publication bias limit definitive conclusions, transcatheter aortic valve replacement using dedicated devices may be considered a safe and effective therapeutic option for patients with pure native aortic regurgitation and unacceptable risk for surgery. Registration URL: https://www.crd.york.ac.uk/prospero/ ; Unique identifier: CRD42024534117.

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)0.010
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.020
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0160.037
Bibliometrics0.0060.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.377
Teacher spread0.356 · 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 designMeta-analysis
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

Citations0
Published2025
Admission routes2
Has abstractyes

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