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Death Caused by Myocarditis in Wayne County, Michigan

2006· article· en· W2042302316 on OpenAlexaff
Francisco J. Díaz, Cheryl Loewe, Andrea D. Jackson

Bibliographic record

VenueAmerican Journal of Forensic Medicine & Pathology · 2006
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsOffice of the Chief Medical Examiner
Fundersnot available
KeywordsMyocarditisMedicineAutopsySudden deathCause of deathMedical examinerAcute myocarditisPediatricsSudden cardiac deathEmergency medicineInternal medicinePoison controlDiseaseInjury prevention

Abstract

fetched live from OpenAlex

This paper reviews 72 cases of death caused by myocarditis between the years 1996 and 2004, autopsied at the Office of the Wayne County Medical Examiner in Michigan. Myocarditis as a cause of sudden and unexpected death represented 1.3% of all natural deaths in Wayne County during said period. The year 1999 contained the highest number of deaths of this cause (18), where the average number of myocarditis deaths was 8 per year for this 9-year span. In this study, each case was reviewed based on information gathered from investigative, autopsy, and toxicology reports. Significantly, 58% of these cases were male, and 63.4% were African American. Myocarditis caused death in every age group between 7 months and 67 years, but adults between the ages of 19 and 67 were most significantly affected (75%). Flu and/or cold were the most common symptoms experienced in the days directly proceeding death (28%), followed by shortness of breath (17%) and sudden collapse (15%). Sixty-nine percent of these 72 cases were pronounced dead after ACLS (advanced cardiac life support) protocol by emergency medical services or hospital attendants. Cardiomegaly was observed in 24 cases of adults aged 19 or older (54%), and flabby/soft myocardial tissue was observed grossly in 16% of all 72 cases.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.006
GPT teacher head0.248
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 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

Citations19
Published2006
Admission routes1
Has abstractyes

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Same venueAmerican Journal of Forensic Medicine & PathologySame topicCardiovascular Effects of ExerciseFrench-language works237,207