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Record W2082874893 · doi:10.1016/s1134-0096(10)70806-8

218. A new approach to the treatment of mitral regurgitation caused by mural leaflet pathologies

2010· article· en· W2082874893 on OpenAlexaboutno aff
N Masala, Haitham Abunasra, Elaine Logtens, Johan Bence, Tomasz Spyt

Bibliographic record

VenueCirugía Cardiovascular · 2010
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMuralLeaflet (botany)Mitral regurgitationRegurgitation (circulation)Infective endocarditisCardiologySurgeryEndocarditisMitral valveMechanical valveInternal medicine

Abstract

fetched live from OpenAlex

To assess immediate postoperative outcomes of mitral valve reconstruction with MitroFix device (Biointegral Surgical, Mississauga, ON, Canada) in patients with extensive prolapse of the mural leaflet. Seventy-one patients undergoing mitral valve reconstruction for extensive prolapse of the mural leaflet between March 2007 and February 2010, were assessed before surgery with transthoracic (TTE) and transesophageal echocardiography (TEE). They were re-assessed intraoperatively in operating room with 2D and 3D TEE. None of the patients showed more than trivial regurgitation in the early postoperative period. Repair techniques of the mural leaflet of the mitral valve may be challenging in cases of extensive prolapse, damage caused by infective endocarditis and restrictive motion as seen in ischaemic cardiomyopathy. The MitroFix concept comprises of a D-shaped annuloplasty ring with a curved surface made of medical-grade polymer covered with porcine pericardium. The device mimics the mural leaflet in the closed position.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.021
GPT teacher head0.293
Teacher spread0.272 · 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 designNon-randomized trial
Domainnot available
GenreEmpirical

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

Citations0
Published2010
Admission routes1
Has abstractyes

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