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Record W4396802942 · doi:10.1038/s44325-024-00004-y

Spontaneous coronary artery dissection: a clinically oriented narrative review

2024· article· en· W4396802942 on OpenAlexaff
Quan Dang, Sonya Burgess, Peter J. Psaltis, Sarah Fairley, Jacqueline Saw, Sarah Zaman

Bibliographic record

Venuenpj Cardiovascular Health · 2024
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Issues in Pregnancy
Canadian institutionsVancouver General HospitalUniversity of British Columbia
FundersUniversity of SydneyNational Heart Foundation of AustraliaWellcome Trust
KeywordsArtery dissectionNarrativeDissection (medical)ArteryCardiologyMedicineInternal medicineCoronary angiographyRadiologyLiteratureArtMyocardial infarction

Abstract

fetched live from OpenAlex

Spontaneous coronary artery dissection (SCAD) is an important cause of acute coronary syndromes (ACS), with a higher incidence in younger female patients. It is also associated with pregnancy, delivery, and the post-partum period. Despite an exponential rise in the volume of SCAD-focused research and publications within the past decade, SCAD is still a poorly understood condition, with a paucity of randomised controlled trial data. This review discusses the pathophysiology, clinical presentation, diagnosis and management of SCAD alongside areas for future research.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.600
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.336
Teacher spread0.316 · 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.

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

Citations17
Published2024
Admission routes1
Has abstractyes

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