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Record W1982526914 · doi:10.1097/hco.0b013e3280125472

Tricuspid valve replacement after cardiac transplantation

2007· review· en· W1982526914 on OpenAlexaff
Mitesh Badiwala, Vivek Rao

Bibliographic record

VenueCurrent Opinion in Cardiology · 2007
Typereview
Languageen
FieldMedicine
TopicTransplantation: Methods and Outcomes
Canadian institutionsToronto General HospitalUniversity Health Network
Fundersnot available
KeywordsMedicineTricuspid valveTransplantationCardiologyInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Tricuspid valve regurgitation is the most frequent valvular complication following orthotopic cardiac transplantation. It leads to diminished quality of life and predicts shortened long-term survival. The optimal surgical management of refractory tricuspid valve regurgitation in this setting is unclear. RECENT FINDINGS: Tricuspid valve regurgitation following cardiac transplantation is likely related to accumulated injury from repeated endomyocardial biopsies. Durability of repair in this setting was shown to be suboptimal. Replacement with a bioprosthesis was found to be durable and relieves symptoms of heart failure associated with tricuspid valve regurgitation in the majority of patients. Prophylactic tricuspid valve annuloplasty at transplantation was found to significantly decrease the incidence of early and late tricuspid valve regurgitation; long-term benefits remain unclear. SUMMARY: Results of tricuspid valve repair in the post-cardiac transplant setting are not ideal, and this strategy is better suited to treating functional tricuspid valve regurgitation resulting from annular dilatation. Tricuspid valve replacement with a bioprosthesis is a safe, durable, and effective method of treating tricuspid valve regurgitation following transplantation and allows for future endomyocardial biopsies to be performed. Mechanical valves should be avoided. A randomized controlled trial examining the long-term outcomes of prophylactic tricuspid annuloplasty is warranted.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.971
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.172
GPT teacher head0.478
Teacher spread0.306 · 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 designNot applicable
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

Citations9
Published2007
Admission routes1
Has abstractyes

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