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Record W4225324545 · doi:10.1016/j.circv.2022.02.006

The mitral valve and its contribution to the generation of left ventricular outflow tract obstruction in hypertrophic cardiomyopathy: Considerations for surgeons

2022· article· en· W4225324545 on OpenAlexaff
Juan B. Grau, Jacqueline H. Fortier

Bibliographic record

VenueCirugía Cardiovascular · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiomyopathy and Myosin Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineVentricular outflow tract obstructionCardiologyHypertrophic cardiomyopathyInternal medicineMitral valveMitral valve replacementVentricular outflow tractLeft ventricular hypertrophyBlood pressure

Abstract

fetched live from OpenAlex

Hypertrophic cardiomyopathy is increasingly understood to be a disease that presents not only with septal hypertrophy but also with diverse anomalies of the mitral valve and subvalvular apparatus. In this review, we describe the involvement of the mitral valve in the generation of left ventricular outflow tract obstruction in patients with hypertrophic cardiomyopathy, and discuss the surgical approaches to managing this complex condition. La cardiomiopatía hipertrófica está cada vez más entendida como una enfermedad que se presenta no solo con evidencia de hipertrofia septal, sino también con diversas anormalidades de la válvula mitral y su aparato subvalvular. En este artículo describimos la contribución de la válvula mitral a la generación de la obstrucción del tracto de salida del ventrículo izquierdo en pacientes con cardiomiopatía hipertrófica obstructiva, además de discutir los diferentes abordajes quirúrgicos disponibles para tratar esta compleja patología.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.000
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.003
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 head0.029
GPT teacher head0.244
Teacher spread0.214 · 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 designNot applicable
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

Citations1
Published2022
Admission routes1
Has abstractyes

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