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Record W2569467392 · doi:10.1097/hco.0000000000000377

Innovations in tricuspid valve intervention

2017· review· en· W2569467392 on OpenAlexaff
Ahmed El‐Eshmawi, Gilbert H.L. Tang, Subodh Verma, Bobby Yanagawa, Marc Ruel, David Adams

Bibliographic record

VenueCurrent Opinion in Cardiology · 2017
Typereview
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsMedicineTricuspid valveCardiologyInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Tricuspid valve disease has received much less attention in terms of intervention. The main reason for this is the widely held belief that treatment of left-sided valve disease leads to resolution of functional tricuspid regurgitation. Recent data show that tricuspid regurgitation is not benign and that many patients will benefit from intervention at the time of left-sided valve surgery, or in isolated tricuspid disease. This review describes the latest surgical and interventional options and strategies. RECENT FINDINGS: Latest valve guidelines now recommend a more aggressive surgical approach to the treatment of moderate or severe tricuspid regurgitation, with annuloplasty being the preferred technique. Guidelines now also promote treatment of isolated significant tricuspid dilatation even without significant regurgitation, as a prophylactic strategy to prevent disease progression. This renewed interest in surgical repair has been accompanied by development of newer tricuspid annuloplasty rings. For patients in whom surgery would be high risk, transcatheter therapies are emerging as a promising alternative. Various repair devices have reported early experience. SUMMARY: Recent surgical and transcatheter innovations in the treatment of tricuspid valve disease are promising and have the potential of removing the stigma of the tricuspid valve as the 'forgotten valve'.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.953
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0010.000
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 head0.268
GPT teacher head0.553
Teacher spread0.285 · 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 designOther design
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

Citations15
Published2017
Admission routes1
Has abstractyes

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