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Record W4415321490 · doi:10.1016/j.cjca.2025.07.027

Canadian Cardiovascular Society/Canadian Heart Failure Society 2025 Guideline Update for Pharmacologic Management of Heart Failure With Nonreduced Ejection Fraction (LVEF > 40%)

2025· article· en· W4415321490 on OpenAlexafffundvenueabout
Sean Virani, Shelley Zieroth, Natasha Aleksova, Kim Anderson, Brian Clarke, Anique Ducharme, Justin A. Ezekowitz, Farid Foroutan, Nadia Giannetti, Rahul Jain, Douglas S. Lee, Serge Lepage, Kristin Lyons, Michael McDonald, Caroline McGuinty, Lisa Mielniczuk, Eileen O’Meara, Stephanie Poon, Kyla Siatecki, Elizabeth Swiggum, Mustafa Toma, Ricky D. Turgeon, Marc Bains, Margot K. Davis, Sabe De, Nowell M. Fine, Jodi Heshka, Sabina Keen, Alexandra King, Andrea Lavoie, Susanna Mak, Lynn McCleary, Oussama Outbih, Rodolfo Pike, Abhinav Sharma, Harriette G.C. Van Spall, Amelia Yip

Bibliographic record

VenueCanadian Journal of Cardiology · 2025
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsSt. John’s Health Sciences CentreNewfoundland and Labrador Centre for Applied Health ResearchOttawa HospitalBrock UniversityMcMaster UniversityMcGill UniversityLondon Health Sciences CentrePopulation Health Research InstituteWestern UniversitySt. Paul's HospitalRoyal Jubilee HospitalHealth Sciences CentreUniversity of CalgaryUniversité de SherbrookeUniversity of TorontoSunnybrook Health Science CentreDalhousie UniversityUniversity of OttawaTed Rogers Centre for Heart ResearchUniversity Health NetworkUniversity of AlbertaUniversité de MontréalUniversity of SaskatchewanQueen Elizabeth II Health Sciences CentreLibin Cardiovascular Institute of AlbertaHamilton Health SciencesToronto General HospitalSinai Health SystemUniversity of British ColumbiaMontreal Heart InstituteUniversity of Manitoba
FundersMcMaster University
KeywordsEjection fractionHeart failureGuidelinePopulationHeart failure with preserved ejection fractionManagement of heart failure

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.847
Threshold uncertainty score0.304

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0030.001
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0060.003

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 head0.013
GPT teacher head0.271
Teacher spread0.259 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations4
Published2025
Admission routes4
Has abstractno

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