MétaCan
Menu
Back to cohort
Record W2943216154 · doi:10.1097/cxa.0000000000000003

Dilated Cardiomyopathy in a Young Man with Polysubstance Use

2017· article· fr· W2943216154 on OpenAlexaffvenue
Julia L. MacIsaac, Seonaid Nolan

Bibliographic record

VenueThe Canadian Journal of Addiction · 2017
Typearticle
Languagefr
FieldMedicine
TopicAlcohol Consumption and Health Effects
Canadian institutionsSt. Paul's HospitalUniversity of British Columbia
FundersNational Institute on Drug Abuse
KeywordsPolysubstance dependenceDilated cardiomyopathyCardiogenic shockMedicineCardiomyopathyCardiologyProdromeInternal medicineAlcohol consumptionAlcoholic cardiomyopathyMyocardial infarctionHeart failureAlcoholPsychiatrySubstance use

Abstract

fetched live from OpenAlex

ABSTRACT La consommation excessive chronique d’alcool est la principale cause d’une cardiomyopathie dilatée acquise. Ici, nous rapportons un cas d’un homme de 25 ans souffrant d’un trouble grave de l’alcoolisme, qui présente un prodrome viral et se trouve dans un choc cardiogénique secondaire à une cardiomyopathie dilatée non-ischémique. Ce cas souligne la pathophysiologie de l’exposition chronique à l’éthanol sur la fonction cardiaque et l’importance du dépistage précoce dans le cas d’une consommation à risque. Chronic excessive alcohol consumption is the leading cause of an acquired dilated cardiomyopathy. Here we report a case of a 25-year-old male with a severe alcohol use disorder, who presents with a viral prodrome and is found to be in cardiogenic shock secondary to a nonischemic dilated cardiomyopathy. The case highlights the pathophysiology of chronic ethanol exposure on cardiac function and the importance of early screening for risky drinking.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.063
GPT teacher head0.314
Teacher spread0.251 · 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

Citations4
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueThe Canadian Journal of AddictionSame topicAlcohol Consumption and Health EffectsFrench-language works237,207