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Insuffisance tricuspide en 2023 : modalités de traitement pour la valve oubliée

2023· article· fr· W4323533742 on OpenAlexaff
David Meier, Mariama Akodad, Γεώργιος Τζίμας, Fabien Doguet, Julius Jelisejevas, Robert Boone, Janarthanan Sathananthan, Philipp Blanke, Jonathon Leipsic, Olivier Müller, John G. Webb, Fabien Praz

Bibliographic record

VenueRevue Médicale Suisse · 2023
Typearticle
Languagefr
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsSt. Paul's Hospital
Fundersnot available
KeywordsMedicinePercutaneousGynecologyVentricleRegurgitation (circulation)SurgeryCardiology

Abstract

fetched live from OpenAlex

The negative impact of tricuspid regurgitation on prognosis in now well established. It also appears clear that surgical and possibly percutaneous treatment should be performed before reaching a point of no return with advanced heart failure and deterioration of right ventricle function. Percutaneous treatment has been divided into coaptation restoration devices, annuloplasty devices, and ortho- or heterotopic valve replacement. The present article offers a brief review of diagnostic modalities beyond echocardiography, surgical treatment as well as of the multiple recent development in the percutaneous treatment of this frequent condition.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.405
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.005

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 head0.027
GPT teacher head0.362
Teacher spread0.335 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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