MétaCan
Menu
Back to cohort
Record W4391242808 · doi:10.1097/dcc.0000000000000628

Aortic Regurgitation

2024· article· en· W4391242808 on OpenAlexaff
Mohamed Toufic El Hussein, Dona Job, Jonah Hakkola

Bibliographic record

VenueDimensions of Critical Care Nursing · 2024
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsCARE CanadaMount Royal University
Fundersnot available
KeywordsMedicineCardiologyInternal medicineHeart failureVentricleEtiology

Abstract

fetched live from OpenAlex

ABSTRACT: Aortic regurgitation (AR) is a valvular disease characterized by retrograde blood flow from the aorta to the left ventricle. Various etiologies result in either an acute or chronic clinical presentation of AR and affect the severity of disease progression. Acute AR is a medical emergency caused by sudden increases in left ventricular volume. Immediate surgical intervention, vasoactive agents, and antibiotics are crucial for management. Chronic AR progresses gradually, leading to heart failure symptoms due to left ventricular remodeling. Diagnoses of both acute and chronic AR rely on electrocardiography, chest radiographs, and echocardiography. Cardiac magnetic resonance imaging may be incorporated in chronic AR diagnosis. Medical management of chronic AR aims to control hypertension and delay left ventricular dysfunction. Angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, and potentially calcium-channel blockers are recommended for chronic AR. β-Blockers are cautioned against because of their potential negative effects. This article emphasizes the importance of early diagnosis and prompt surgical intervention in AR. This review provides a comprehensive overview of the pathophysiology and clinical manifestations of acute and chronic AR and a medication regimen for treating chronic AR in the adult population.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.640
Threshold uncertainty score0.220

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.021
GPT teacher head0.428
Teacher spread0.408 · 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 designObservational
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

Citations4
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueDimensions of Critical Care NursingSame topicCardiac Valve Diseases and TreatmentsFrench-language works237,207