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Record W2199469523 · doi:10.14740/cr446e

Sudden Death Due to Giant Cell Myocarditis: A Case Report

2015· article· en· W2199469523 on OpenAlexvenueno aff
Janani Shanmugam, P Sampath Kumar, Vinod Kumar Panicker, Prathiba Duvooru

Bibliographic record

VenueCardiology Research · 2015
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Immunology Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSudden deathCardiologySudden cardiac deathMyocarditisInternal medicineCoronary artery diseaseCause of deathInquestDisease

Abstract

fetched live from OpenAlex

The definition of sudden death is variable and there has been no single all-purpose definition. Sudden death can be defined as sudden or unexpected death in an otherwise healthy individual who is not known to have been suffering from any dangerous disease, injury or poisoning and is found dead or dies within 24 hours after the onset of terminal illness. Some authorities limit the duration to 1 hour. Because of the sudden and unexpected nature of death, inquest is conducted in such cases to rule out foul play and ascertain the cause of death. A vast majority of cases are due to cardiac origin followed by respiratory, neurological, gastrointestinal and genitourinary causes. The most common cardiac disease to cause sudden death is ischemic heart disease as a result of coronary atherosclerosis. Coronary artery disease, cardiomyopathies and electrophysiologic abnormalities are the common causes of sudden cardiac deaths. We present a rare case of sudden death in a healthy adult male due to giant cell myocarditis.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.002
Science and technology studies0.0040.003
Scholarly communication0.0020.003
Open science0.0020.003
Research integrity0.0080.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.204
GPT teacher head0.446
Teacher spread0.243 · 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 designCase report
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

Citations7
Published2015
Admission routes1
Has abstractyes

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