MétaCan
Menu
Back to cohort
Record W4409640805 · doi:10.1016/j.jsampl.2025.100100

Sudden cardiac death in young First Nations Australians in the Northern Territory, Australia: Potential implications for pre-participation screening

2025· article· en· W4409640805 on OpenAlexaboutno aff
Sonali Pande, Viran DeSilva, E. Paratz, Marianne Tiemensma, Nadarajah Kangaharan

Bibliographic record

VenueJSAMS Plus · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsnot available
FundersNational Heart Foundation of Australia
KeywordsSudden cardiac deathGeographyDemographyMedicineCardiologySociology

Abstract

fetched live from OpenAlex

Objective: To present data from coronial records on sudden cardiac death (SCD) cases seen in young, First Nations Australians in the Northern Territory of Australia, estimate its incidence, and propose potential pre-participation screening strategies. Design: Retrospective observational study. Methods: Coronial records of sudden cardiac death cases in First Nations Australians in the Northern Territory under 40 years of age occurring between 2019 and 2023 were reviewed to study the incidence, demographics, medical history, circumstances of death and causes of death with autopsy and toxicology analysis. Results: A total of 59 SCD cases in First Nations Australians under 40 years of age were recorded in the Northern Territory with an annual incidence of 19.8 cases per 100,000 persons. The mean ​± ​SD of age was 32.8 ​± ​6.14 years. There were 61 ​% male and 2/3 of SCD cases occurred in remote location. Coronary heart disease (n ​= ​36; 61 ​%) was the most common cause of death. In 3 cases, SCD was related to sports or exercise activity. Most common medical co-morbidities were cardiac (38.9 ​%), Diabetes mellitus (35.6 ​%), and rheumatic heart disease (20.3 ​%). Smoking (37.3 ​%) and alcohol abuse (32.2 ​%) were the most common risk factors. Conclusions: SCD is more common and coronary heart disease and rheumatic heart disease are the most common causes in First Nations Australians in the Northern Territory under the age of 40 years. Medical co-morbidities and risk factors are prevalent in this population. There is a need for First Nation Australians specific local guidelines for a comprehensive pre-participation Heart-Health assessment.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.029
GPT teacher head0.348
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

Citations2
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJSAMS PlusSame topicCardiovascular Effects of ExerciseFrench-language works237,207