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Record W3092941779 · doi:10.1097/hco.0000000000000813

Two-year outcomes from the PARTNER 3 trial: where do we stand?

2020· review· en· W3092941779 on OpenAlexaff
Hellmuth R. Muller Moran, Rachel Eikelboom, Carly Lodewyks, Weiang Yan, Ivan Zelentsov, Rakesh C. Arora, Michael H. Yamashita

Bibliographic record

VenueCurrent Opinion in Cardiology · 2020
Typereview
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsUniversity of ManitobaSt. Boniface Hospital
Fundersnot available
KeywordsMedicineValve replacementStenosisAortic valve replacementStroke (engine)Clinical endpointAortic valve stenosisCardiologyRandomized controlled trialInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: The PARTNER 3 trial was conducted to compare outcomes after transcatheter aortic valve replacement (TAVR) with a balloon-expandable valve and surgical aortic valve replacement (SAVR) in individuals at low surgical risk with aortic stenosis. Recently reported rates of death, stoke and valve thrombosis in the TAVR arm have raised concerns about the longevity of this intervention in low-risk individuals. It is incumbent on all members of the Heart Team to understand the potential consequences of these findings. RECENT FINDINGS: TAVR was initially superior to SAVR at 1 year for a primary composite endpoint of death, stroke and rehospitalization. Results at 2 years now indicate noninferiority. Potential causative factors, comparisons with other transcatheter valves and implications for patients, providers and trainees are explored. Recommendations are additionally provided regarding TAVR and SAVR in individuals with aortic stenosis. SUMMARY: Concerns regarding the longevity of TAVR in low-risk individuals notwithstanding, results from PARTNER 3 indicate that TAVR is at least noninferior to SAVR out to 2 years. Longer follow-up will be required to determine whether these newly founded concerns are justifiable.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.919
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.005
Bibliometrics0.0000.000
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 head0.168
GPT teacher head0.487
Teacher spread0.319 · 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.

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

Citations14
Published2020
Admission routes1
Has abstractyes

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