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Record W4402168573 · doi:10.3390/jpm14090937

Short and Long-Term Outcomes of Transcatheter Aortic Valve Implantation in the Small Aortic Annulus: A Systematic Literature Review

2024· review· en· W4402168573 on OpenAlexaff
Francesco Cabrucci, Massimo Baudo, Yoshiyuki Yamashita, Aleksander Dokollari, Serge Sicouri, Basel Ramlawi

Bibliographic record

VenueJournal of Personalized Medicine · 2024
Typereview
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsUniversity of ManitobaSt. Boniface Hospital
Fundersnot available
KeywordsCardiac skeletonMedicineBicuspid aortic valveStenosisContext (archaeology)CardiologyAnnulus (botany)Internal medicinePopulationAortic valveAortic valve stenosisSurgeryAortic valve replacement

Abstract

fetched live from OpenAlex

Transcatheter aortic valve implantation has revolutionized the treatment of aortic stenosis. The small aortic annulus is one of the most challenging aspects of aortic stenosis treatment and since the beginning, TAVI has shown promising results in this subgroup of patients. This systematic literature review aims to investigate the short and long-term outcomes of TAVI in the small aortic annulus. The literature was meticulously screened for this topic until April 2024 using the PRISMA guidelines. Technical aspects, characteristics of this subgroup of patients, hemodynamic performances, and outcomes are discussed. The importance of device selection has shown up, with insight into the differences between self-expandable and the balloon-expandable valves. Two special populations were also taken into account: outcomes of TAVI in the small aortic annulus with bicuspid aortic valve and extra-small aortic annulus. The last 10 years have been paramount in technological advancements, bringing TAVI to broader use in this population. While several important trials underscored the usefulness of TAVI in the small aortic annulus population, the clinical practice still lacks consensus on the ideal device, and the outcomes are debated. The pivotal role of TAVI in this context needs to be addressed with a patient-tailored approach to optimize patient care.

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 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)0.001
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: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.136
Threshold uncertainty score0.857

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.005
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.051
GPT teacher head0.422
Teacher spread0.370 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
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

Citations8
Published2024
Admission routes1
Has abstractyes

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