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Vericiguat in patients with chronic heart failure and reduced ejection fraction (VICTOR): a double-blind, placebo-controlled, randomised, phase 3 trial
Javed Butler, Ciaran J. McMullan, Kevin J. Anstrom, Irina Barash, Marc P. Bonaca, Maria Borentain, Stefano Corda, Justin A. Ezekowitz, G. Michael Felker, Davis Gates, Carolyn Lam, Eldrin F. Lewis, JoAnn Lindenfeld, Robert J. Mentz, Christopher M. O’Connor, Piotr Ponikowski, Yogesh N.V. Reddy, Giuseppe M.C. Rosano, Michele Senni, Lilin She, Pedro Pinto Teixeira, James E. Udelson, Alessia Urbinati, Vanja Vlajnic, Adriaan A. Voors, Aiwen Xing, Mahesh J. Patel, Faı̈ez Zannad, Alberto Cadena, Luis Eduardo Echeverría, Yüksel Çavuşoğlu, Hans Prozesky, Fabio Silveria, Aleksander Żurakowski, Jose F. Kerr Saraiva, Aldo Edwin Rodriguez Escudero, Elias Tsougos, José Accini, Ferenc Lakatos, Aguinaldo Figueiredo Freitas, Ebrahim Noori, Trevor J. Gould, Laura Scelsi, Imran Zainal Abidin, A. Shekhar Pandey, Béla Merkely, Theema Nunkoo, Camilo Arana, Vojtěch Melenovský, Z Zilahi, Gilbert Gosselin, Herrera E. López, Krzysztof Cymerman, Miguel Hominal, Percy Berrospi, Kheng Leng David Sim, M.B. 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Scott, Sabrina Forbus, Nehal Vekariya, Kathryn Stibilj, F. Ferraz de Liz, Ming-Feng Lu, Yu-Hong Kang, Stephanie Kirchenwitz, Francesca D’Alessandro, M.A. Gomez Sanchez, Cristina Soler, Kristina From, P. Chou, M Kinnin, Simeoni Thomas, Deborah S. Keller, R. Machova, Lenka Bouzkova, Joan Hummelshoej, N. Rosolin, Vaggelitsa-Eirini Kesoglou, Petros Nikolopoulos, Christina Mandila, Sergio Muñoz, Anna Ryznar-Sicinska, Z. Mhlanga, Ebru Şahin, Sinéad Lyons, Susan Crawford, Madeline Peek, T. del Río, Medardo Medina, Yuxin Zhong, Yue Gao, Siqi Wang, Xuejiao Liu, E O Jakobsen, Annette Nielsen, Bianca Krug-Hoeren, Selin Yıldırım, Anne Dirks, Manuela Rossmaier, Wendy Janz, Quentin Kushnerik, Sebastián A. 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Khalil, Gabriela G. Faustino Ilana, Xiaoli Teng, Liping Chen, Chenyu Lv, Min Wang, Emilie Tachot, Nicole Schaefer, Z.P. Nagy, Árpád Kormányos, Laura Tatiana Cevallos Vega, W. Méndez, Jo-Anne Kovacs, Danica Kistanna, Maria Gil Rescavarren, Olga Sorokina, María Paz García‐Portilla, I. Sichkaruk, Abeesh Panicker, Rema Iskandarani, Yulia Abidov, Gemma Macdonald, M-C Leitgeb, Zhenfei Chen, Ruihao Li, Jia Tang, Jinxiu Liu, J.C. Roche, Pia Hadsund, Pauline Armangau, Irene Mattavelli, R. Famiani, Jovannia Galarza-Perez, Irina Kraeva, Xin Tian Chua, Nozibusiso Rejoice Mosia, Isabel Bravo, Taras Chendey, Oksana Pysanko, Rebecca Cutts, Kevin C. Thornton, Nancy Fry, Heather Taylor Blubaugh, Rafael Muro, Abeer Abu-Saif, Jennifer Bajornas, M. Lust, Ashley S. Williams, Ramona Stevens, Roberta Pereira dos Santos Coelho, Karen Boyd, Rebecca Otis, Marie Birch, Carlos Fernando, Noreen Lounsbury, Shanshan Jin, Wenting Wei, Judith Simons, Pinelopi Karagogou, Paraskevi Lathridou, Mohamed Nagy, J.A. Abalos, Sapir Azulay, Valentina Morsella, Ilaria Gallelli, C Scapicchi, Seul Gi Park, Seon Mi Shin, Brenda Molina Elicier, Noemi Torres-Rivas, M Teterina, Unarine Madavha, Esmanur Mizrak, H. Havryliuk, Tetiana L. Shandra, Sarah Broadhead, F. Galera, Cynthia Larew, Estefania Socorro, Rose Hroncich, Victoria Smith, Yasmire Evans, Lisa English, Natalya J. Beer, Yanick Sardin-Laframboise, Yu‐Ying Lu, Zhengzheng Ni, Ting Li, Jana Brindova, Shiree Yedid, Alejandra Camacho‐Molina, O I Evtushenko, Ekaterina Kaverina, Carina Andersson, Håkan Södergren, O. Durhan, Denys Babichev, Rita Adrego, Ben Jones, Susan Regan, Savanna Lambert, Marisol Ramos, Amy King, Ariel Quebedeaux, Amanda C. Reynolds, Sirisha Tirumanisetti, Miaoxia Liu, Line Balaya-Gouraya, Anne-Sophie Derien, Elisa Wied, Katja Steinbruegger, Barna Bartha, Fatma Diyana Mohd Bukhari, Milagros Matta, I. A. Garina, Е. А. 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Maggioni, Karl Swedberg, Jane E. Wilcox, Maria Rosa Costanzo, Haley Hedlin, W Schuyler Jones, Karen P. Alexander, Sana M. Al‐Khatib, J. Antonio Gutierrez, Robert B. Harrison, Mark Kittipibul, Brad J. Kolls, David C. M. Kong, Joseph B Lerman, Robert Matthews, Robert W. McGarrah, Rajendra H. Mehta, Thomas J. Povsic, Jennifer A. Rymer, Cina Sasannejad
Bibliographic record
VenueThe Lancet · 2025
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsCanadian VIGOUR CentreUniversity of Alberta
FundersMSD Sharp and DohmeNational Heart, Lung, and Blood InstituteRelypsaNational Medical Research CouncilRespicardiaMSD K.K.Abbott VascularNational Institutes of HealthBristol-Myers SquibbAkebia TherapeuticsSanofiAbiomedDaiichi Sankyo EuropeBayerGilead SciencesServierPfizerModernaNovo NordiskMedical Research CouncilVerily Life SciencesBoston Scientific CorporationEli Lilly and CompanyAstraZenecaAmgenVifor PharmaMinistero della SaluteDuke Clinical Research InstituteCytokineticsPharmaceuticals BayerAmerican RegentAmerican Heart Association
KeywordsEjection fractionPlaceboHeart failureMedicineInternal medicineDouble blindCardiologyAlternative medicinePathology
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)0.000
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 score0.026
Threshold uncertainty score0.359
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 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 | 0.000 | 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 head0.019
GPT teacher head0.302
Teacher spread0.283 · 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
Citations64
Published2025
Admission routes1
Has abstractno