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Record W2289393032 · doi:10.1016/j.aogh.2016.02.006

Hypertension in Canada: Past, Present, and Future

2016· review· en· W2289393032 on OpenAlexaffabout
Ernesto L. Schiffrin, Norman R.C. Campbell, Ross D. Feldman, Janusz Kaczorowski, Richard Lewanczuk, Raj Padwal, Sheldon W. Tobe

Bibliographic record

VenueAnnals of Global Health · 2016
Typereview
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsUniversity of TorontoNOSM UniversityAlberta Health ServicesUniversity of AlbertaUniversité de MontréalMemorial University of NewfoundlandMcGill UniversityUniversity of CalgaryHealth Sciences CentreLibin Cardiovascular Institute of AlbertaSunnybrook Health Science CentreJewish General Hospital
Fundersnot available
KeywordsPolitical scienceMedicine

Abstract

fetched live from OpenAlex

Canada has an extremely successful hypertension detection and treatment program. The aim of this review was to highlight the historic and current infrastructure and initiatives that have led to this success, and the outlook moving forward into the future. We discuss the evolution of hypertension awareness and control in Canada; contributions made by organizations such as the Canadian Hypertension Society, Blood Pressure Canada, and the Canadian Hypertension Education Program; the amalgamation of these organizations into Hypertension Canada; and the impact that Hypertension Canada has had on hypertension care in Canada. The important contribution that public policy and advocacy can have on prevention and control of blood pressure in Canada is described. We also highlight the importance of population-based strategies, health care access and organization, and accurate blood pressure measurement (including ambulatory, home, and automated office modalities) in optimizing hypertension prevention and management. We end by discussing how Hypertension Canada will move forward in the near and longer term to address the unmet residual risk attributable to hypertension and associated cardiovascular risk factors. Hypertension Canada will continue to strive to enhance hypertension prevention and control rates, thereby improving the quality of life and cardiovascular outcomes of Canadians, while at the same time creating a hypertension care model that can be emulated across the world.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.646
Threshold uncertainty score0.771

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.106
GPT teacher head0.399
Teacher spread0.293 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations47
Published2016
Admission routes2
Has abstractyes

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