MétaCan
Menu
Back to cohort
Record W4400800717 · doi:10.1093/ehjci/jeae178

Diastolic dysfunction in hypertension: a comprehensive review of pathophysiology, diagnosis, and treatment

2024· review· en· W4400800717 on OpenAlex
Camilla Ikast Ottosen, Wilson Nadruz, Riccardo M. Inciardi, Niklas Dyrby Johansen, Marat Fudim, Tor Biering‐Sørensen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Heart Journal - Cardiovascular Imaging · 2024
Typereview
Languageen
FieldMedicine
TopicCardiovascular Function and Risk Factors
Canadian institutionsSurgical Specialties (Canada)
Fundersnot available
KeywordsPathophysiologyMedicineDiastoleCardiologyInternal medicineBlood pressure

Abstract

fetched live from OpenAlex

Diastolic dysfunction refers to impaired relaxation or filling of the ventricles during the diastolic phase of the cardiac cycle. Left ventricular diastolic dysfunction (LVDD) is common in hypertensive individuals and is associated with increased morbidity and mortality. LVDD serves as a critical precursor to heart failure, particularly heart failure with preserved ejection fraction. The pathophysiology of LVDD in hypertension is complex, involving alterations in cardiac structure and function, neurohormonal activation, and vascular stiffness. While the diagnosis of LVDD relies primarily on echocardiography, management remains challenging due to a lack of specific treatment guidelines for LVDD. This review offers an overview of the pathophysiological mechanisms underlying LVDD in hypertension, diagnostic methods, clinical manifestations, strategies for managing LVDD, and prospects for future research.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.937
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.008
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.325
Teacher spread0.250 · 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