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Record W2947849590 · doi:10.1136/heartjnl-2017-312303

Combined aortic stenosis and regurgitation: double the trouble

2019· review· en· W2947849590 on OpenAlexafffund
Géraldine Ong, Philippe Pîbarot

Bibliographic record

VenueHeart · 2019
Typereview
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsSt. Michael's Hospital
FundersCanadian Institutes of Health Research
KeywordsMedicineInternal medicineCardiologyStenosisEpidemiologyPathophysiologyRegurgitation (circulation)Aortic valveConcomitantVentricleAortic valve stenosisAortic valve regurgitation

Abstract

fetched live from OpenAlex

### Learning objectives Mixed aortic valve disease (MAVD) refers to the coexistence of aortic stenosis (AS) and aortic regurgitation (AR). Despite the relatively high prevalence of MAVD, there are very few data on the outcome and management of this entity.1–6 Nonetheless, a few recent studies have reported that the prognosis of patients with combined moderate AS and moderate AR is similar or worse than those with isolated severe AS or AR.2 3 The therapeutic management of MAVD is complex and is currently based on the guideline recommendations for the predominant lesion, AS or AR.1 7 The objective of this Education in Heart article is to provide an overview of the prevalence, pathophysiology, outcomes, diagnosis, severity grading and strategies for the therapeutic management of MAVD. ### Prevalence of MAVD In a nationwide epidemiology study conducted in Sweden,8 the overall incidence rate of multiple valve disease was 6.4 per 100 000 person-years. This rate increased markedly with age and was higher in men (8.5 per 100 000 person-years) than in women (5.8 per 100 000 person-years).8 MAVD was the most frequent multiple valve disease and 17.9% of patients with AR were diagnosed with concomitant AS. ### Pathophysiology of MAVD The pathophysiology and clinical impact of MAVD are complex and relate to the severity and chronicity of each aortic valve lesion and to the repercussions of these lesions on the remodelling and function of the left ventricle (LV) and other upstream cardiac chambers.5 In patients …

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.934
Threshold uncertainty score0.539

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.074
GPT teacher head0.410
Teacher spread0.336 · 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.

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

Citations20
Published2019
Admission routes2
Has abstractyes

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