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Record W2412913260 · doi:10.4244/eijy15m11_03

Transaortic transcatheter aortic valve implantation using the Lotus valve: first-in-man experience

2016· article· en· W2412913260 on OpenAlexaff
Vinnie Bapat, Kaleab Asrress, Ricardo Boix, Zhan Yun Lim, Jane Hancock, Simon Redwood

Bibliographic record

VenueEuroIntervention · 2016
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsSt. Thomas Hospital
FundersBritish Heart Foundation
KeywordsMedicineStenosisHeart valveComplicationCardiologySurgeryHeart diseaseInternal medicineValve replacementAortic valve stenosis

Abstract

fetched live from OpenAlex

AIMS: To demonstrate the feasibility of implanting the Lotus second-generation transcatheter heart valve (THV) (designed for a transfemoral procedure) via a transaortic approach. METHODS AND RESULTS: We describe a case with severe aortic stenosis in the presence of small calibre and calcified femoral access and severe chronic obstructive pulmonary disease. The transaortic approach was the ideal approach for this patient and we successfully implanted a 25 mm Lotus valve without any complication. CONCLUSIONS: The transaortic access is a feasible and safe alternative in patients who have suboptimal iliofemoral conduits and who will benefit from the unique features of the Lotus THV.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.031
GPT teacher head0.355
Teacher spread0.325 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations4
Published2016
Admission routes1
Has abstractyes

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