MétaCan
ENFR
Menu
Cohort builder

4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

Export CSVExport JSONAPI query

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Current Atherosclerosis Reports
Topic
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

101 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
101 works in the cohort · of 4,299,418page 1 of 3

Labels cover 0 of 101 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 101 of 101 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Obesity and cardiovascular disease
Paul Poirier, Robert H. Eckel
2002· review· en· Current Atherosclerosis Reports· Medicine
machine prediction:candidate · noneconsensus · none
263
citations
afffundno abstractunlabeled
Overweight, Obesity, and CVD Risk: a Focus on Visceral/Ectopic Fat
Dominic Chartrand, Adrien Murphy-Després, Natalie Alméras, Isabelle Lemieux, Éric Larose, Jean‐Pierre Després
2022· review· en· Current Atherosclerosis Reports· Medicine
machine prediction:candidate · noneconsensus · none
84
citations
affno abstractunlabeled
Cholesterol-lowering effect of plant sterols
Suhad Abumweis, Peter J.H. Jones
2008· review· en· Current Atherosclerosis Reports· Medicine
machine prediction:candidate · noneconsensus · none
60
citations
affno abstractunlabeled
Alcohol Intake Revisited: Risks and Benefits
Michael Roerecke, Jürgen Rehm
2012· review· en· Current Atherosclerosis Reports· Medicine
machine prediction:candidate · noneconsensus · none
56
citations
affno abstractunlabeled
Lipids and the Endothelium: Bidirectional Interactions
Ira J. Goldberg, Karin Bornfeldt
2013· review· en· Current Atherosclerosis Reports· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
56
citations
affno abstractunlabeled
Calcific Aortic Valve Stenosis and Atherosclerotic Calcification
Michel Pompeu Sá, Luiz Rafael P. Cavalcanti, Álvaro Perazzo, Rafael Alessandro Ferreira Gomes, Marie‐Annick Clavel, Philippe Pîbarot +5 more
2020· review· en· Current Atherosclerosis Reports· Medicine
machine prediction:candidate · noneconsensus · none
46
citations
affno abstractunlabeled
The portfolio diet for cardiovascular risk reduction
David J.A. Jenkins, Andrea R. Josse, Julia MW Wong, Tri H. Nguyen, Cyril W.C. Kendall
2007· review· en· Current Atherosclerosis Reports· Medicine
machine prediction:candidate · noneconsensus · none
44
citations
affno abstractunlabeled
Lipoprotein (a): When to Measure and How to Treat?
David Rhainds, Mathieu R. Brodeur, Jean‐Claude Tardif
2021· review· en· Current Atherosclerosis Reports· Medicine
machine prediction:candidate · noneconsensus · none
33
citations
affno abstractunlabeled
The cardioprotective effects of statins
Jean Davignon
2004· review· en· Current Atherosclerosis Reports· Medicine
machine prediction:candidate · noneconsensus · none
33
citations
afffundno abstractunlabeled
The Endothelium in Diabetic Nephropathy
Richard E. Gilbert
2014· review· en· Current Atherosclerosis Reports· Medicine
machine prediction:candidate · noneconsensus · none
31
citations
affno abstractunlabeled
Genetics of premature myocardial infarction
Robert Roberts
2008· review· en· Current Atherosclerosis Reports· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
24
citations
affno abstractunlabeled
What Causes Premature Coronary Artery Disease?
Ann Le, Helen Peng, D. Golinsky, Matteo Di Scipio, Ricky Lali, Guillaume Paré
2024· review· en· Current Atherosclerosis Reports· Medicine
machine prediction:candidate · noneconsensus · none
22
citations
next →

How this was built: Screen · Findings · About