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Record W4310896525 · doi:10.1016/j.cjco.2022.12.002

Simultaneous Hybrid Transcatheter Aortic Valve Implantation and Endoscopic Mitral Valve Repair

2022· article· en· W4310896525 on OpenAlexaff
Christina Oatway, Junichi Shimamura, Rodrigo Bagur, Satoru Fujii, Michael Chu

Bibliographic record

VenueCJC Open · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsLondon Health Sciences CentreWestern University
FundersEdwards LifesciencesMedtronic
KeywordsCardiologyInternal medicineMedicineMitral valveMitral valve repairAortic valve

Abstract

fetched live from OpenAlex

Multivalvular disease is frequently seen in elderly, high-risk patients, particularly aortic stenosis (AS) with concomitant mitral regurgitation (MR), and can be challenging to treat. The optimal approach is evolving with a spectrum of conventional surgery, transcatheter approaches, and hybrid options available. We report the case of an elderly patient with multiple comorbidities who was treated with simultaneous hybrid transcatheter aortic valve implantation (TAVI) and minimally invasive, endoscopic mitral valve repair.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.493

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.324
Teacher spread0.311 · 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 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

Citations3
Published2022
Admission routes1
Has abstractyes

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