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Rationale and design for the myocardial ischemia and transfusion (MINT) randomized clinical trial
Jeffrey L. Carson, Maria M. Brooks, Bernard Chaitman, John H. Alexander, Shaun G. Goodman, Marnie Bertolet, J. Dawn Abbott, Howard A. Cooper, Sunil V. Rao, Darrell J. Triulzi, Dean Fergusson, William J. Kostis, Helaine Noveck, Tabassome Simon, Philippe Gabríel Steg, Andrew P. DeFilippis, Andrew M. Goldsweig, Renato D. Lópes, Harvey D. White, Caroline Alsweiler, Erin Morton, Paul C. Hébert, Shahab Ghafghazi, Frances O. Wood, Mark Menegus, Barry F. Uretsky, Srikanth Vallurupalli, Gregory Maniatis, Luis Gruberg, Robert O. Roswell, Joseph S. Rossi, Farhad Abtahian, Meechai Tessalee, Gregory W. Barsness, Herbert D. Aronow, Kodangudi B. Ramanathan, Mark Schmidhofer, Friederike K. Keating, Michael Carson, Michael C. Kontos, Mansoor Qureshi, Stacey Clegg, Warren K. Laskey, Tamar S. Polonsky, Rajesh Gupta, Mujeeb Sheikh, Lynne Uhl, Paul Mullen, Arthur Bracey, William Matthai, Christopher P. Stowell, David M. Dudzinski, Gregary Marhefka, Perry Weinstock, William Lawson, Norma Keller, Eugene Yuriditsky, Michael A. Thomas, Alice Jacobs, Claudia P. Hochberg, Omar K. Siddiqi, Joshua Schulman‐Marcus, Mikhail Torosoff, Michael Gitter, Xuming Dai, Jay H. Traverse, Eric McCamant, Jason Scott, Rajesh V. Swaminathan, Adam C. Salisbury, David Landers, Ganesh Raveendran, Ramin Ebrahimi, Richard G. Bach, Joseph M. Delehanty, Raj C. Shah, Sorin J. Brener, Jonathan Doroshow, Adriano Caixeta, Dalton Bertolim Précoma, Frederico Toledo Campo Dall’Orto, Pedro Beraldo de Andrade, Marianna Deway Andrade Dracoulakis, Lília Nigro Maia, Luiz Eduardo Fontelles Ritt, Alexandre Schaan de Quadros, Dário Celestino Sobral Filho, Fernando De Martino, Thao Huynh, Greg Schnell, Manohara Senaratne, Vikas Tandon, John Neary, David Laflamme, Jean‐Pierre Déry, Kevin R. Bainey, Richard Haichin, Payam Dehghani, Ata ur Rehman Quraishi, Brian J. Potter, François Martin Carrier, Michael Goldfarb, Christopher B. Fordyce, Ying Tung Sia, Benoit Daneault, Mina Madan, Terry McPherson, John Ducas, Kunal Minhas, N. Brass, Akshay Bagai, Simon Robinson, Vladimír Džavík, Razi Khan, Nicolas Michaud, Grégory Ducrocq, Étienne Puymirat, Gilles Lemesle, Émile Ferrari, Benoît Lattuca, Johanne Silvain, Gérald Vanzetto, Laura Cetran, Thibault Lhermusier, Yves Cottin, Yann Rosamel, Denis Angoulvant, Jean Guillaume Dillinger, Christophe Thuaire, Batric Popovic, Éric Durand, Claire Bouleti, François Roubille, Laurent Delorme, Ian Crozier, Jocelyne Benatar, Samraj Nandra, Ian Ternouth, Nick Fisher, David Brieger, Graham S. Hillis
Bibliographic record
VenueAmerican Heart Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsCentre Hospitalier de l’Université de MontréalInstitut Universitaire de Gériatrie de MontréalOttawa HospitalUniversity of AlbertaCanadian VIGOUR CentreUniversity of TorontoSt. Michael's Hospital
FundersDuke Clinical Research InstituteNational Heart, Lung, and Blood InstituteCanadian Institutes of Health ResearchEsperion TherapeuticsGlaxoSmithKlineHLS TherapeuticsDaiichi Sankyo EuropeServierUniversity of TorontoAgence Nationale de la RechercheNovo NordiskDaiichi-SankyoCerus CorporationCanadian Blood ServicesReCor MedicalAstraZenecaAmarin CorporationRegeneron PharmaceuticalsBoston Scientific CorporationPfizerYork UniversityBristol-Myers SquibbEli Lilly and CompanyInstitute of Circulatory and Respiratory HealthCSL BehringHeart and Stroke Foundation of CanadaSanofiMicroPortAmgen
KeywordsMedicineUnstable anginaMyocardial infarctionClinical trialRandomized controlled trialHemoglobinAnginaInternal medicineIntensive care medicine
Abstract
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 distilled prediction
Teacher imitationNot 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)0.005
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score0.430
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.062
GPT teacher head0.355
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical
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
Citations37
Published2022
Admission routes2
Has abstractno