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Record W2080516900 · doi:10.1097/hco.0b013e32835cee0e

Transcatheter mitral valve-in-valve implantation

2013· review· en· W2080516900 on OpenAlexaff
Anson Cheung, Ala Al-Lawati

Bibliographic record

VenueCurrent Opinion in Cardiology · 2013
Typereview
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsUniversity of British ColumbiaSt. Paul's Hospital
Fundersnot available
KeywordsMedicineMitral valveMitral regurgitationSurgeryValve replacementCardiologyInternal medicineStenosis

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Transcatheter mitral valve-in-valve (MVIV) implantation is an emerging technique for reoperative mitral valve replacement in high-risk patients. Clear guidelines on the use of transcatheter MVIV implantation are yet to be determined. In this review, we report our own experience as well as the recent available literature on this procedure. RECENT FINDINGS: Since 2010, four case series of three or more patients have been reported with a total number of 23 patients. We also include unpublished data of 13 additional patients, who recently had MVIV implantation at our institution. Mean age was 78.45 ± 9.2 years with a median follow-up ranging from 70 to 357 days. Mean The Society of Thoracic Surgeons (STS) score was 14.1 ± 7.1%. All patients were in New York Heart Association (NYHA) class III or IV. Thirty days mortality was 7.5% (n = 3) and late mortality was 10% (n = 4). All patients had improvement in postoperative NYHA class to I/II following MVIV implantation. The mitral regurgitation grade was reduced from 3+ or 4+ preoperatively to a grade of 0 or 1 postoperatively. There was no structural valve deterioration reported in the follow-up period in any of the studies. SUMMARY: The available literature supports the use of transcatheter MVIV implantation in selected high-risk patients with favorable results. Although there are no available long-term data on the procedure, the early and mid-term outcomes are excellent with no evidence of structural valve deterioration in the available follow-up period.

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), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.948
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.018
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 head0.111
GPT teacher head0.463
Teacher spread0.352 · 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

Citations26
Published2013
Admission routes1
Has abstractyes

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