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Dual endothelin antagonist aprocitentan for resistant hypertension (PRECISION): a multicentre, blinded, randomised, parallel-group, phase 3 trial
Markus P. Schlaich, M Bellet, Michael A. Weber, Parisa Danaietash, George L. Bakris, John M. Flack, Roland F. Dreier, Mouna Sassi-Sayadi, Lloyd Haskell, Krzysztof Narkiewicz, Ji‐Guang Wang, Christopher M. Reid, Ivor Katz, Andrew E. Ajani, Sinjini Biswas, Murray Esler, Grahame J. Elder, Simon D. Roger, David Colquhoun, John G. Mooney, Tine De Backer, Alexandre Persu, Martin Chaumont, Jean-Marie Krzesinski, Thomas Vanassche, Ginette Girard, Lew Pliamm, Ernesto L. Schiffrin, Fatima Merali, George K. Dresser, Michel Vallée, Shivinder Jolly, S. P. Chow, Jianjun Mu, Jing Yu, Hong Yuan, Yingqing Feng, Xin Zhang, Jianhong Xie, Ling Lin, Miroslav Souček, J Widimský, Renata Cífková, J. Václavík, Martin Ullrych, Martin Lukáč, Ivan Rychlík, Thomas Guldager Lauridsen, Ilkka Kantola, Jyrki Taurio, Olavi Ukkola, Olivier Ormezzano, Philippe Gosse, Michel Azizi, Pierre‐Yves Courand, Pascal Delsart, Jean Michel Tartiere, Felix Mahfoud, Roland E. Schmieder, Johannes Stegbauer, Philipp Lurz, Michael Koziolek, Christian Ott, Nicole Toursarkissian, Konstantinos Tsioufis, K. Kyfnidis, Athanasios Manolis, Sotirios Patsilinakos, Pantelis Zebekakis, Apostolos Karavidas, Pall Denes, Katalin Bezzegh, Marianna Zsom, László Kovács, Yehonatan Sharabi, Mazen Elias, Ivetta Sukholutsky, Chaim Yosefy, Irina Kenis, Shaul Atar, Massimo Volpe, Muiesan Maria Lorenza, Stefano Taddei, Guıdo Grassı, Franco Veglio, Jung‐Woo Son, Jang‐Young Kim, Joong-Il Park, Chang Hoon Lee, Hae‐Young Lee, Rasa Raugalienė, Jolanta Elena Marcinkeviciene, Roma Kavaliauskiene, Jaap Deinum, Abraham A. Kroon, Bert‐Jan H. van den Born, Andrzej Januszewicz, Andrzej Tykarski, Jolanta Walczewska, Zbigniew Gaciong, Andrzej Więcek, Marzena Chrostowska, Andrzej Kleinrok, Jan Krekora, Grzegorz Kania, Anna Podrazka-Szczepaniak, Cezary Golawski, Maciej Podziewski, Barbara Kaczmarek, Grzegorz Skoczylas, Andrzej Wilkołaski, Iwona Wozniak, Marzena Janik-Palazzolo, Barbara Rewerska, А. О. Конради, Yuriy Shvarts, T. B. Pecherina, К. Yu. Nikolaev, Gapon Liudmila, Olga Orlikova, Viktor Mordovin, Natalia Petrochenkova, Gadel Kamalov, Е. Д. Космачева, В. В. Тыренко, В. М. Горбунов, A. A. Obrezan, T. V. Supryadkina, Irina Ler, O.N. Kotenko Kotenko, А.И. Кузин, Fernando Martínez García, Josep Redón, Anna Oliveras, Luis Beltran Romero, V.B. Shatylo, Leoníd Rudenko, Andriy Bazylevych, Yurii S. Rudyk, Олександр Карпенко, Mykola Stanislavchuk, Vira Tseluyko, Mykola Kushnir, Э.О. Асанов, Yu.M. Sіrenko, Andriy Yagensky, David Collier, Pankaj Gupta, David J. Webb, Mary Joan MacLeod, James S. McLay, Aaron Peace, Samir Arora, Patricia Buchanan, R. M. Harris, Ronald Degarmo, Mario Guillen, Adam Karns, Joel Neutel, Yogesh Paliwal, Karlton Pettis, Phillip D. Toth, Jeffrey D. Wayne, Michael B. Butcher, Suzanne Oparil, David A. Calhoun, D. H. Brautigam, Jesse Goldman, Arash Rashidi, Nabeel Aslam, William E. Haley, Nabil Andrawis, B. W. Lang, Randy R. Miller, James Powell, Robert Dewhurst, James B. Pritchard, Dinesh Khanna, Dennis M. Tang, Nashwa Gabra, Jean Park, Conigliaro Jones, Cranford Scott, Blanca Luna, Murtaza Mussaji, Ravi Bhagwat, Michael Bauer, John B. McGinty, Rajesh Nambiar, Renee Sangrigoli, William R. Davis, William Eaves, Frank McGrew, Ahmed Awad, Eric Bolster, David A. Scott, Paramjit Kalirao, Pascal Dabel, Wesley Calhoun, Steven F. Gouge, Mark R. Warren, Mary Katherine Lawrence, Aamir Jamal, Mohamed A. El-Shahawy, Carlos Mercado, Jayant Kumar, Pedro Velasquez‐Mieyer, Robert Busch, Todd Lewis, Lisa Rich
Bibliographic record
VenueThe Lancet · 2022
Typearticle
Languageen
FieldMedicine
TopicNitric Oxide and Endothelin Effects
Canadian institutionsnot available
FundersJanssen BiotechIdorsia PharmaceuticalsBausch HealthMenarini GroupServierGedeon RichterAmgenHigh Blood Pressure Research Council of AustraliaNovo NordiskTeva Pharmaceutical IndustriesReCor MedicalInternational Society of HypertensionIonis PharmaceuticalsFibroGenAlnylam PharmaceuticalsAstraZenecaBristol-Myers SquibbAbbott Laboratories
KeywordsMedicinePlaceboBlood pressureAmbulatory blood pressureDiureticClinical endpointEndothelin receptor antagonistInternal medicineRandomized controlled trialEndothelin receptor
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 machine prediction
Teacher imitationNot 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)0.003
metaresearch head score (Gemma)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.024
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 head0.061
GPT teacher head0.326
Teacher spread0.265 · 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 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
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
Citations227
Published2022
Admission routes1
Has abstractno