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Record W4391938439 · doi:10.53555/sfs.v8i3.2119

A Narrative Review ofDilated Cardiomyopathy Among General Population

2022· review· en· W4391938439 on OpenAlexvenueno aff
Abdulaziz Mohammed Alotaibi, Amin Fawaz Alsobhi, Essam.Ahmed. Mufarrej, Ali Alzahrani

Bibliographic record

VenueJournal of Survey in Fisheries Sciences · 2022
Typereview
Languageen
FieldMedicine
TopicCardiac pacing and defibrillation studies
Canadian institutionsnot available
Fundersnot available
KeywordsCardiomyopathyNarrativePopulationMedicineCardiologyInternal medicineLinguisticsPhilosophyHeart failureEnvironmental health

Abstract

fetched live from OpenAlex

This study focuses on some key issues in the medical diagnosis of DCM patients, such as etiology and pathophysiology. A correct diagnosis is critical for avoiding repercussions and receiving appropriate treatment. We searched major biological databases (CINAHL, EMBASE, MEDLINE) for publications on dilated cardiomyopathy management, employing thorough search algorithms for all relevant articles published up to 2018. Dilated cardiomyopathy (DCM) is characterized by ventricular dilatation and dysfunctional contraction. Patients who have been injured have altered systolic function and may or may not develop overt heart failure (HF). In the present, atrial and/or ventricular arrhythmias can exist, and sudden death can occur at any stage of the disease. Dilated cardiomyopathy requires evidence of left ventricle or both ventricular expansion and impaired contraction. If main and secondary causes of heart disease are ruled out by evaluation, which includes a history and physical examination, laboratory tests, and coronary angiography, the disease is called idiopathic.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0070.007
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.294
GPT teacher head0.388
Teacher spread0.094 · 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 designSystematic review
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

Citations0
Published2022
Admission routes1
Has abstractyes

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