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Record W4410369255 · doi:10.1097/crd.0000000000000951

Minimally Invasive Tricuspid Valve Surgery: An Alternative Surgical Approach in the Era of Transcatheter Interventions

2025· article· en· W4410369255 on OpenAlex
Ali Fatehi Hassanabad, Angela Kim, Daniyil A. Svystonyuk, Gianluigi Bisleri, Corey Adams, William Kent

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCardiology in Review · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsUniversity of TorontoMcGill UniversityLibin Cardiovascular Institute of AlbertaUniversity of Calgary
Fundersnot available
KeywordsMedicineTricuspid valveInvasive surgerySurgeryBlood lossValve replacementCardiology

Abstract

fetched live from OpenAlex

There has been significant growth in minimally invasive valve surgery over the past 2 decades, with novel approaches including video-assisted minithoracotomy, totally endoscopic, and robotic assisted. Outcomes of these techniques suggest that they can improve patient-reported outcomes, enhance mobility, reduce blood loss, and facilitate earlier discharge and return to work. Minimally invasive tricuspid valve surgery now provides surgeons and patients with an alternative option for treating tricuspid valve disease. These operations can be conducted safely and yield favorable outcomes with carefully selected patients. Herein, we provide a comprehensive overview of minimally invasive tricuspid valve surgery, including a summary of the current literature on minithoracotomy valve repair or replacement, beating heart, redo, and multiple-valve surgery. Finally, we contextualize how minimally invasive tricuspid valve surgery can play an important role in the era of emerging transcatheter strategies.

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.

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)0.000
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 score0.224
Threshold uncertainty score0.424

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.004
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 head0.055
GPT teacher head0.396
Teacher spread0.341 · 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