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Record W1522793089 · doi:10.1155/2015/278979

The Canadian Cardiac Rehabilitation Registry: Inaugural Report on the Status of Cardiac Rehabilitation in Canada

2015· article· en· W1522793089 on OpenAlexafffundabout
Sherry L. Grace, Trisha Parsons, Kristal Heise, Simon Bacon

Bibliographic record

VenueRehabilitation Research and Practice · 2015
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsConcordia UniversityHôpital du Sacré-Cœur de MontréalToronto Western HospitalUniversity Health NetworkCanadian Association of Cardiovascular Prevention and RehabilitationYork UniversityQueen's University
FundersPfizer CanadaServierPfizer
KeywordsMedicineReferralRehabilitationPercutaneous coronary interventionAcute coronary syndromeBlood pressureEmergency medicinePhysical therapyInternal medicineFamily medicineMyocardial infarction

Abstract

fetched live from OpenAlex

Introduction. There are over 200 Cardiovascular Rehabilitation (CR) programs in Canada, providing services to more than 50,000 new patients annually. The objective of this study was to describe the impact of CR in Canada. Methods. A retrospective analysis of Canadian CR Registry data is presented. There were 12 programs participating, with 4546 CR participants. Results. The average wait time between patient referral and CR admission was 68 ± 64 days. Participants were 66.3 ± 11.5 years old, 71% male, and 82% White. The three leading referral events were coronary artery bypass graft surgery, percutaneous coronary intervention, and acute coronary syndrome. At discharge, data were available for ~90% of participants. Significant improvements in blood pressure (systolic pre-CR 123.5 ± 17.0, post-CR 121.5 ± 15.8 mmHg; p < .001), lipids, adiposity, and exercise capacity (peak METs pre-CR 6.5 ± 2.8, post-CR 7.2 ± 3.1; p < .001) were observed. However, target attainment for some risk factors was suboptimal. Conclusions. This report provides the first snapshot of the beneficial effects of CR in Canada. Not all patients are equally represented in these programs, however, leaving room for more referral of diverse patients. Greater attainment of risk reduction targets should be pursued.

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)0.021
metaresearch head score (Gemma)0.177
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.177
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.064
GPT teacher head0.428
Teacher spread0.364 · 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 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

Citations22
Published2015
Admission routes3
Has abstractyes

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