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Record W2996253222 · doi:10.31487/j.jicoa.2019.04.12

Mechanisms of Cardiac Dysfunction in Heart Failure due to Myocardial Infarction

2019· article· en· W2996253222 on OpenAlexaff
Naranjan S. Dhalla, Anureet K. Shah, Mohamad Nusier, Vijayan Elimban

Bibliographic record

VenueJournal of Integrative Cardiology Open Access · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiac Fibrosis and Remodeling
Canadian institutionsUniversity of ManitobaSt. Boniface Hospital
Fundersnot available
KeywordsInternal medicineCardiologyHeart failureMyocardial infarctionMedicineVentricleAngiotensin IIMuscle hypertrophyMyocardial hypertrophyCardiac function curveReceptor

Abstract

fetched live from OpenAlex

Acute myocardial infarction (MI) is associated with marked elevation of plasma vasoactive hormones, ventricular arrhythmias, scar formation in the ischemic portion of left ventricle (LV) and hypertrophy of the viable LV as well as the right ventricle (RV). Particularly, elevated levels of plasma catecholamines and angiotensin II activate their membrane receptors and stimulate different signal transduction systems for producing cardiac hypertrophy, augmenting the activities of subcellular organelles and increasing cardiac function. While marked arrhythmias due to acute MI produce 30 to 40% mortality, hypertrophic alterations in the viable LV as well as RV are compensatory for maintaining hemodynamic homeostasis due to loss of cardiomyocytes. On the other hand, prolonged elevation of plasma vasoactive hormones in chronic MI produce deleterious effects on the hypertrophied heart by promoting the formation of oxyradicals, inducing Ca2+ - handling abnormalities in subcellular organelles, depressing cardiac gene expression, activating different proteases and resulting in the development of cardiac dysfunction. Thus, in view of the complexities of mechanisms for both acute and chronic effects of MI, there is a real challenge of developing new interventions for preventing the transition of cardiac hypertrophy to heart failure as well as progression of the MI-induced cardiovascular abnormalities.

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)0.001
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 score0.665
Threshold uncertainty score0.577

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.024
GPT teacher head0.342
Teacher spread0.319 · 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

Citations8
Published2019
Admission routes1
Has abstractyes

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