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Record W4410080315 · doi:10.1016/j.jchf.2025.03.014

Rationale and Design of the Dapagliflozin Effect on Cardiovascular Events in Acute Heart Failure (DAPA ACT HF)-TIMI 68 Trial

2025· article· en· W4410080315 on OpenAlexaff
David D. Berg, Siddharth M. Patel, Paul M. Haller, Jan Bělohlávek, Akshay S. Desai, Jarosław Dróżdż, Silvio E. Inzucchi, John J.V. McMurray, Béla Merkely, Eileen O’Meara, Subodh Verma, Abby L. Cange, Sabina A. Murphy, Marc S. Sabatine, Stephen D. Wiviott

Bibliographic record

VenueJACC Heart Failure · 2025
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsSt. Michael's HospitalUniversité de MontréalMontreal Heart Institute
Fundersnot available
KeywordsMedicineDapagliflozinHeart failureTIMICardiologyInternal medicineIntensive care medicineMyocardial infarctionDiabetes mellitusType 2 diabetes

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)0.064
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.064
Threshold uncertainty score0.339

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0640.036
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0020.002
Science and technology studies0.0020.005
Scholarly communication0.0050.002
Open science0.0030.002
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0160.006

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 head0.012
GPT teacher head0.255
Teacher spread0.243 · 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 designRandomized trial
Domainnot available
GenreProtocol

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

Citations6
Published2025
Admission routes1
Has abstractno

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