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Record W3102870417 · doi:10.1111/jce.14811

Closing gigantic left atrial appendage using a LAmbre Closure System: First implant experience in North America

2020· article· en· W3102870417 on OpenAlexaffabout
Taku Inohara, Michael Tsang, Christopher Lee, Jacqueline Saw

Bibliographic record

VenueJournal of Cardiovascular Electrophysiology · 2020
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsVancouver General Hospital
Fundersnot available
KeywordsMedicineFluoroscopyOstiumPercutaneousClosing (real estate)AppendageClosure (psychology)Atrial fibrillationImplantTransesophageal echocardiogramAtrial AppendageRadiologySurgeryCardiologyAnatomy

Abstract

fetched live from OpenAlex

INTRODUCTION: Despite maturing experience and growing procedural familiarity, there remain challenges in percutaneous left atrial appendage (LAA) closure due to anatomical complexities. METHODS: We report a complex and extremely large LAA that was successfully closed percutaneously using a LAmbre Closure System (Lifetech Scientific Corp.). Cardiac computed tomography angiography demonstrated a gigantic multilobed LAA measuring 48 × 45.3 mm at the level of the ostium that cannot be occluded by the currently approved LAA closure devices in Canada. RESULTS: The manufacturer custom-made a LAmbre 30/50 mm (lobe/disc) device to fit this patient's LAA according to his CTA, which was successfully deployed under fluoroscopy and transesophageal echocardiogram guidance without procedure-related complications. CONCLUSION: The LAmbre device may be considered to close very large LAAs.

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: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.045
GPT teacher head0.289
Teacher spread0.244 · 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 designCase report
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

Citations18
Published2020
Admission routes2
Has abstractyes

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