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Record W2766045549 · doi:10.1136/bmjopen-2017-018249

Protocol for the HAPPY Hearts study: cardiovascular screening for the early detection of future adverse cardiovascular outcomes in middle-aged and older women: a prospective, observational cohort study

2017· article· en· W2766045549 on OpenAlex
Kevin F. Boreskie, D. Scott Kehler, Eduardo Caldas Costa, Pedro Celeira Cortez, Ivan Berkowitz, Naomi C. Hamm, Teri L. Moffatt, Andrew N. Stammers, Dustin E. Kimber, Brett Hiebert, David E. Kent, Denise Cornish, Heather Blewett, Thang Nguyen, Rakesh C. Arora, Shaelyn M. Strachan, Brittany Semenchuk, Jacqueline Hay, Jay N. Cohn, Todd A. Duhamel

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBMJ Open · 2017
Typearticle
Languageen
FieldMedicine
TopicHealth Promotion and Cardiovascular Prevention
Canadian institutionsAgriculture and Agri-Food CanadaWinnipeg Regional Health AuthorityUniversity of ManitobaResearch ManitobaGovernment of CanadaSt. Boniface Hospital
FundersCanadian Institutes of Health ResearchConselho Nacional de Desenvolvimento Científico e TecnológicoUniversity of Manitoba
KeywordsMedicineBlood pressureMyocardial infarctionObservational studyStroke (engine)Heart failureAdverse effectFramingham Risk ScoreCohort studyInternal medicineProspective cohort studyPercutaneous coronary interventionRisk assessmentIncidence (geometry)CohortPhysical therapyCardiologyDisease

Abstract

fetched live from OpenAlex

INTRODUCTION: Efforts to identify individuals at a higher risk for adverse cardiovascular outcomes focus on traditional risk factors, such as age, sex, smoking status, blood pressure and and cholesterol; however, this approach does not directly assess cardiovascular function and may underestimate the risk of experiencing adverse cardiovascular outcomes in women. This prospective, observational cohort study will examine the ability of the Heart Attack Prevention Program for You (HAPPY) Hearts screening protocol, a series of non-invasive procedures to identify middle-aged and older women who are at an elevated risk for experiencing an adverse cardiovascular event in the 5-year period after screening. The predictive value of the HAPPY Hearts protocol will also be compared with the Framingham Risk Score to determine the sensitivity for estimating risk for an adverse cardiovascular outcome. METHODS AND ANALYSIS: One thousand women 55 years of age or older will be recruited to be screened by the HAPPY Hearts protocol. This involves the cardiovascular assessment of resting blood pressure, blood pressure response to 3 min of moderate intensity exercise and large and small arterial elasticity. The participants will be classified into risk categories based on these measures. The incidence of the following adverse cardiovascular outcomes will be assessed in the 5-year period after screening in both groups: ischaemic heart disease, acute myocardial infarction, stroke, percutaneous coronary intervention, coronary bypass surgery, congestive heart failure and new hypertension. ETHICS AND DISSEMINATION: Information gathered in this research will be published in peer-reviewed journals and presented in a programme evaluation report to inform Manitoba Health and key stakeholders about the outcomes of the study. The University of Manitoba Health Research Ethics Board has approved the study protocol V.2.0, dated 29 September 2014 (H2014:224). TRIAL REGISTRATION NUMBER: NCT02863211.

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.

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)0.021
metaresearch head score (Gemma)0.001
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: Protocol · Consensus signal: none
Teacher disagreement score0.134
Threshold uncertainty score0.773

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.160
GPT teacher head0.427
Teacher spread0.267 · 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