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Record W2996207410 · doi:10.1097/hco.0000000000000705

Is there a problem with respect? Risk of neochordal rupture

2019· review· en· W2996207410 on OpenAlexaff
Sabin J. Bozso, Shubham Shan, Jeevan Nagendran

Bibliographic record

VenueCurrent Opinion in Cardiology · 2019
Typereview
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMitral valve repairMedicineMitral regurgitationCalcificationMitral valveCardiologySurgeryInternal medicineResection

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: In this review, we summarize the history of mitral valve repair, discuss the broad principles of neochord preparation and implantation, and highlight comparative outcomes between mitral valve repair strategies while focusing on the risk of neochordal rupture. RECENT FINDINGS: There have been several recent studies comparing outcomes been leaflet-resection and nonresection, neochord-based mitral valve repair. Operative mortality was very low regardless of repair strategy; however, the rate of mitral valve reoperation is lower in those that undergo a neochord-based repair with overall lower mean mitral gradients postrepair. The introduction of minimally invasive approaches to mitral valve repair has preferentially favored an increase in neochord-based repair, given the technical simplicity compared with resection-based approaches. In very rare cases, neochord rupture can occur, likely secondary to a combination of chordal calcification and mechanical stress. SUMMARY: The method of performing mitral valve repair with neochord implantation has demonstrated superior durability over leaflet resection approaches with equivalent operative outcomes. Although the risk of neochord rupture exists, it is exceedingly rare, and should not be considered a limitation to a neochord-based mitral valve repair. Recurrent mitral regurgitation secondary to neochord rupture is incredibly rare; however, regular echocardiographic evaluation of these patients appears warranted, especially when follow-up extends over 10 years.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.086
GPT teacher head0.440
Teacher spread0.354 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
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

Citations3
Published2019
Admission routes1
Has abstractyes

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