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Record W2462028131 · doi:10.11124/jbisrir-2016-002569

Prevalence of acute and prodromal myocardial infarctions symptoms in adult women with confirmed diagnoses

2016· article· en· W2462028131 on OpenAlexafffund
Clare Koning, Lynne Young, Diane Butcher

Bibliographic record

VenueThe JBI Database of Systematic Reviews and Implementation Reports · 2016
Typearticle
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsUniversity of Victoria
FundersEuropean Society of CardiologyUniversity of Victoria
KeywordsMedicineMyocardial infarctionMedical diagnosisPediatricsPsychiatryPathology

Abstract

fetched live from OpenAlex

REVIEW QUESTION/OBJECTIVE: The purpose of this review is to systematically review literature to determine the period of prevalence of prodromal and acute symptoms experienced by adult women diagnosed with an acute myocardial infarction (AMI).More specifically, the objective of this descriptive review is to assess the prevalence and describe the distribution of prodromal and acute symptoms experienced by adult women during an AMI event, evident in documented literature between 1994 and the present date.The specific question for this review is: how common and how are prodromal and acute symptoms of an AMI distributed in adult women diagnosed with an AMI? CENTER CONDUCTING THE REVIEW: University of Victoria and the Queen's Joanna Briggs Collaboration for Patient Safety: a Collaborating Centre of the Joanna Briggs Institute.

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)0.005
metaresearch head score (Gemma)0.049
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.049
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0080.009
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.355
Teacher spread0.326 · 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 designSystematic review
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

Citations0
Published2016
Admission routes2
Has abstractyes

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