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Randomized Trials Fit for the 21st Century: A Joint Opinion From the European Society of Cardiology, American Heart Association, American College of Cardiology, and the World Heart Federation

2022· article· en· W4311823645 on OpenAlexfundno aff
Louise Bowman, Franz Weidinger, Michelle A. Albert, Edward T.A. Fry, Fausto J. Pinto, Stephan Achenbach, Barbara Casadei, Rory Collins, P.J. Devereaux, Pamela S. Douglas, Ole Fröbert, Shinya Goto, Cindy L. Grines, Robert A. Harrington, Richard Haynes, Judith S. Hochman, Stefan James, Paulus Kirchhof, Michel Komajda, Carolyn S.P. Lam, Martin Landray, Aldo P. Maggioni, John J.V. McMurray, Nick Medhurst, Bruce Neal, Lars Rydén, Hölger Thiele, Isabelle C. Van Gelder, Lars Wallentin, Salim Yusuf, Faı̈ez Zannad

Bibliographic record

VenueCirculation · 2022
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsnot available
FundersInstitut National de la Santé et de la Recherche MédicaleNYU Grossman School of MedicineUniversity of GlasgowUniversity of New South WalesNIHR Oxford Biomedical Research CentreYork UniversitySchool of Medicine, Duke UniversityRijksuniversiteit GroningenUppsala UniversitetUniversity of OxfordImperial College LondonNational Institute for Health and Care ResearchMedical Research CouncilKompetenznetz VorhofflimmernSteno Diabetes Center AarhusMcMaster UniversitySorbonne UniversitéKarolinska InstitutetSchool of Public Health, Imperial College LondonInstitut for Klinisk Medicin, Aarhus UniversitetNational University of SingaporeBritish Heart FoundationUniversitair Medisch Centrum GroningenUniversité de LorraineHamilton Health SciencesAarhus Universitet
KeywordsMedicineRandomized controlled trialCardiologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND Among all medical specialities, cardiology has historically led the way in evidence-based practice.With groundbreaking randomized trials in the 1980s, such as the International Study of Infarct Survival (ISIS), 5 Gruppo Italiano per lo Studio della Streptochinasi nell'Infarto (GISSI) 6 and Global Utilization of Streptokinase and Downloaded from http://ahajournals.org

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 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)0.346
metaresearch head score (Gemma)0.527
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.654
Threshold uncertainty score0.807

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3460.527
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0110.009
Bibliometrics0.0050.008
Science and technology studies0.0050.012
Scholarly communication0.0220.018
Open science0.0140.008
Research integrity0.0520.064
Insufficient payload (model declined to judge)0.0110.008

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 head0.050
GPT teacher head0.305
Teacher spread0.255 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainMethods
GenreCommentary

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
Published2022
Admission routes1
Has abstractyes

Explore more

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