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Record W7125641235 · doi:10.5937/siks2002057d

Hypertrophic cardiomyopathy: From accidental diagnosis to sudden cardiac death prevention

2020· article· en· W7125641235 on OpenAlexaff
Željko Delić, Hadži Karamarković

Bibliographic record

VenueSrce i krvni sudovi · 2020
Typearticle
Languageen
FieldMedicine
TopicCardiomyopathy and Myosin Studies
Canadian institutionsVictoria General Hospital
Fundersnot available
KeywordsSudden cardiac deathAsymptomaticAccidentalSudden deathHypertrophic cardiomyopathyEtiologyCardiomyopathySudden cardiac arrest

Abstract

fetched live from OpenAlex

Hypertrophic cardiomyopathy is defined by the presence of increased thickness of the left ventricular wall, which cannot be explained only by abnormal loading conditions. This definition applies to children and adults and makes no "a priori "assumptions about etiology or myocardial pathology. Cellular architecture disorders, interstitial fibrosis, microvascular infarctions, play a role in the emergence of electrical instability, malignant ventricular arrhythmias that cause Sudden Cardiac Death in patients with HCM. Although most cases have a benign prognosis, identifying patients at a risk for Sudden Cardiac Death, requiring prophylactic therapy with ICD, is crucial and prioritized. With increasing awareness of the disease, lower-risk patients are now more frequently diagnosed, and more recent studies show that the annual Sudden Cardiac Death rate 0.5-1%, was not negligible, unfortunately among young and asymptomatic individuals. This paper presents a case of HCM, accidentally detected in a young adult, completed with ICD implantation in primary Sudden Cardiac Death prevention.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.036
GPT teacher head0.285
Teacher spread0.249 · 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 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

Citations0
Published2020
Admission routes1
Has abstractyes

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