MétaCan
Menu
Back to cohort
Record W2054698664 · doi:10.1097/hco.0b013e32834398ba

Transcatheter aortic valve replacement: where will we be in 5 years?

2011· review· en· W2054698664 on OpenAlexaff
Anson Cheung, Jia-Lin Soon

Bibliographic record

VenueCurrent Opinion in Cardiology · 2011
Typereview
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsSt. Paul's HospitalUniversity of British Columbia
FundersEdwards Lifesciences
KeywordsMedicineCardiologyValve replacementAortic valveInternal medicineStenosis

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Transcatheter aortic valve implantation (TAVI) has developed in less than 2 decades to be a viable procedure, carving out a niche position in our armamentarium to treat high-risk patients with aortic valve disease. Rapid advances are occurring in prosthesis design, catheter delivery system, imaging, and the hybrid operating room. RECENT FINDINGS: The PARTNER (Placement of AoRTic traNscathetER valve) randomized trial, cohort B confirms the superiority of the transfemoral TAVI compared with standard medical therapy with regard to overall survival and cardiac functional status. Major stroke and vascular complications, however, remain higher in the transfemoral TAVI group. Large European registries of both the transapical and transfemoral TAVI are reporting improved procedural success and early survival. The CoreValve and SAPIEN valves remain the forerunners, with accumulating evidence for use, and published 3-year prosthesis durability data for the latter. SUMMARY: Evidence is accumulating in support of TAVI for high-risk nonoperative aortic stenosis. Even before the PARTNER cohort A results, comparing TAVI and conventional aortic valve replacement, become available, the next generation devices and technological improvements are well underway to make the procedure even more reproducible.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.002

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 head0.111
GPT teacher head0.434
Teacher spread0.323 · 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

Citations7
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueCurrent Opinion in CardiologySame topicCardiac Valve Diseases and TreatmentsFrench-language works237,207