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Record W4407461062 · doi:10.1016/s0140-6736(25)00194-1

Efficacy and safety of nerinetide in acute ischaemic stroke in patients undergoing endovascular thrombectomy without previous thrombolysis (ESCAPE-NEXT): a multicentre, double-blind, randomised controlled trial

2025· article· en· W4407461062 on OpenAlexafffund
Michael D. Hill, Mayank Goyal, Andrew M. Demchuk, Bijoy K. Menon, Thalia S. Field, William Guest, Jörg Berrouschot, Albrecht Bormann, Mirko Pham, Karl Georg Hæusler, Diederik W.J. Dippel, Pieter Jan van Doormaal, Franziska Dorn, Felix J. Bode, Brian van Adel, Demetrios J. Sahlas, Richard H. Swartz, Leodante da Costa, Johanna M. Ospel, Rosalie McDonough, Karla J. Ryckborst, Mohammed Almekhlafi, Kathy Heard, David Garman, Corey Adams, Yatika Kohli, Bridget A. Schoon, Brian Buck, Mario Muto, Atif Zafar, Hauke Schneider, Jonathan A Grossberg, Leonard L.L. Yeo, Jason Tarpley, Marios‐Nikos Psychogios, Jonathan M. Coutinho, Nicola Limbucci, Volker Puetz, Michael Kelly, Bruce Campbell, Sven Poli, Alexandre Y Poppe, Jai Shankar, Ronil V. Chandra, Dar Dowlatshahi, George Α. Lopez, Luigi Cirillo, Aimen Moussaddy, Michael Devlin, Pablo García-Bermejo, Jennifer L Mandzia, Mona Skjelland, Anne Hege Aamodt, Frank L. Silver, Timothy Kleinig, Guglielmo Pero, Jens Minnerup, Ryan McTaggart, Ajit S. Puri, Albert Chiu, Gernot Reimann, Gordon Gubitz, Marie‐Christine Camden, Seon Kyu Lee, Eric Sauvageau, Sibu Mundiyanapurath, Donald Frei, Hana Choe, M Rocha, Jan Gralla, Peter Bailey, Sebastian Fischer, Thomas Liebig, Konstantin Dimitriadis, Dheeraj Gandhi, René Chapot, Albert Jin, Ameer E Hassan, Wim H. van Zwam, Ilko Maier, Martin Wiesmann, Wolf‐Dirk Niesen, Rajiv Advani, Agnethe Eltoft, Negar Asdaghi, Cynthia Murphy, Luca Remonda, Darshan Ghia, Olav Jansen, Markus Holtmannspoetter, Victoria Hellstern, Karsten Witt, Shahid M. Nimjee, David Turkel‐Parella, Dominik Michalski, Christian Maegerlein, Carol Huilian Tham, Michael Tymianski

Bibliographic record

VenueThe Lancet · 2025
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsKingston Health Sciences CentreDalhousie UniversityLondon Health Sciences CentreMontreal Neurological Institute and HospitalHealth Sciences CentreUniversity of Alberta HospitalOttawa HospitalRoyal University HospitalNoNO (Canada)Sunnybrook Health Science CentreMcMaster UniversityToronto Western HospitalAlberta Hospital EdmontonUniversity of British ColumbiaUniversité LavalCentre Hospitalier de l’Université de MontréalUniversity of Calgary
FundersNational Medical Research CouncilMedical Research CouncilPfizerBracco ImagingNational Institutes of HealthSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungSiemens HealthineersGemeinsame BundesausschussDeutsche ForschungsgemeinschaftFondation Brain CanadaStrykerAstraZenecaAlexion PharmaceuticalsCanadian Institutes of Health ResearchNational Science Foundation
KeywordsMedicineThrombolysisIschaemic strokeStroke (engine)Randomized controlled trialAcute strokeClinical trialEmergency medicineSurgeryCardiologyInternal medicineTissue plasminogen activatorMyocardial infarctionIschemia

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)0.002
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 score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.003
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.018
GPT teacher head0.287
Teacher spread0.269 · 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
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

Citations54
Published2025
Admission routes2
Has abstractno

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Same venueThe LancetSame topicAcute Ischemic Stroke ManagementFrench-language works237,207