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Successful thrombectomy is beneficial in patients with pre-stroke disability: Results from an international multicenter cohort study
Célina Ducroux, Laurent Derex, Mikaïl Nourredine, Julie Haesebaert, Marielle Buisson, Walid Alesefir, William Boisseau, Nicole Daneault, Yan Deschaintre, Jose Danilo Bengzon Diestro, Omer Eker, Johanna Eneling, Laura Gioia, Daniella Iancu, Grégory Jacquin, Céline Odier, Christian Stapf, Jean Raymond, Daniel Roy, Alain Weill, Bertrand Lapergue, Alexandre Y. Poppe, Michel Piotin, Raphaël Blanc, Hocine Redjem Simon Escalard, Jean‐Philippe Désilles, François Delvoye, Stanislas Smajda, Benjamin Maïer, Solène Hébert, Mikaël Mazighi, Mikael Obadia, Candice Sabben, Pierre Seners, Igor Raynouard, Ovide Corabianu, T. de Broucker, Eric Manchon, Guillaume Taylor, Malek Ben Maacha, Laurie-Anne Thion, Augustin Lecler, Julien Savatovsky, Adrien Wang, Serge Evrard, Maya Tchikviladze, Nadia Ajili, David Weisenburger‐Lile, Lucas Gorza, Géraldine Buard, Oguzhan Coskun, Arturo Consoli, Federico Di Maria, Georges Rodesh, Sergio Zimatore, Morgan Leguen, Julie Gratieux, Fernando Pico, Haja Rakotoharinandrasana, Philippe Tassan, Roxanna Poll, Sylvie Marinier, Norbert Nighoghossian, Roberto Riva, Francis Turjman, Tae‐Hee Cho, Laura Mechtouff, Anne Claire Lukaszewicz, Frédéric Philippeau, Serkan Cakmak, Karine Blanc‐Lasserre, Anne‐Evelyne Vallet, Gaultier Marnat, Florent Gariel, Xavier Barreau, Jérôme Berge, Patrice Ménégon, Igor Sibon, Ludovic Lucas, Stéphane Olindo, Pauline Renou, Sharmila Sagnier, Mathilde Poli, Sabrina Debruxelles, François Rouanet, Thomas Tourdias, Jean-Sébastien Liegey, Pierre Briau, Nicolas Pangon, Romain Bourcier, Lili Détraz, Benjamin Daumas-Duport, Pierre-Louis Alexandre, Monica Roy, Cédric Lenoble, Hubert Desal, Benoît Guillon, Solène de Gaalon, Cécile Preterre, Benjamin Gory, Serge Bracard, René Anxionnat, Marc Braun, Anne-Laure Derelle, Romain Tonnelet, Liang Liao, François Zhu, Emmanuelle Schmitt, Sophie Planel, Sébastien Richard, Lisa Humbertjean, Gioia Mione, Jean‐Christophe Lacour, Nolwenn Riou-Comte, Gérard Audibert, Marcela Voicu, Ionel Alb, Marie Reitter, Madalina Brezeanu, Agnès Masson, Adriana Tabarna, Iona Podar, Francisco Macian-Montoro, Suzanna Saleme, Charbel Mounayer, Aymeric Rouchaud, Vincent Costalat, Caroline Arquizan, Cyril Dargazanli, Grégory Gascou, Pierre-Henri Lefèvre, Imad Derraz, Carlos Riquelme, Nicolas Gaillard, Isabelle Mourand, Lucas Corti, Fédérico Cagnazzo, Adrien ter Schiphorst, Eugene François, Stéphane Vannier, Jean‐Christophe Ferré, Hélène Raoult, Thomas Ronzière, Maria Lassale, Christophe Paya, Jean-Yves Gauvrit, Clément Tracol, Sophie Langnier-Lemercier, Yves Samson, Charlotte Rosso, Anne Léger, S. Deltour, Frédéric Clarençon, Eimad Shotar, Laurent Spelle, Christian Denier, Olivier Chassin, Vanessa Chalumeau, Jildaz Caroff, Laura Venditti, Olivier Naggara, Wagih Ben Hassen, Grégoire Boulouis, Christine Rodriguez-Régent, D. Trystram, Basile Kerleroux, Guillaume Turc, Valérie Domigo, Catherine Lamy, Julia Birchenall, Clothilde Isabel, François Lun, Alain Viguier, Christophe Cognard, Anne Christine Januel, Jean‐Marc Olivot, Nicolas Raposo, Fabrice Bonneville, Jean François Albucher, Lionel Calvière, Jean Darcourt, Philippe Tall, Guillaume Bellanger, Louis Fontaine, Emmanuel Touzé, Charlotte Barbier, Romain Schneckenburger, Marion Boulanger, Julien Cogez, Sophie Guettier, Serge Timsit, Jean‐Christophe Gentric, Julien Ognard, Francois Mathias Merrien, Ozlem Ozkul- Wermester, Evelyne Massardier, Chrysanthi Papagiannaki, Frédéric Bourdain, Patricia Bernady, Laurent Lagoarde-Segot, Hélène Cailliez, Louis Veunac, David Higué, Valérie Wolff, Raoul Pop, Rémi Beaujeux, Mihoc Dan-Sorin, Monica Manisor, Anthony Le Bras, Sarah Evain, Arnaud Le Guen, Sebastian Richter, R. Hubrecht, Stéphanie Demasles, Denis Sablot, Geoffroy Farouil, Maxime Tardieu, Philippe Smadja, Sabine Aptel, Ian Seiler
Bibliographic record
VenueJournal of Neuroradiology · 2022
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversité de MontréalCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineModified Rankin ScaleStroke (engine)ThrombolysisCohortInternal medicineCerebral infarctionCohort studySurgeryIschemic strokeMyocardial infarctionIschemia
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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.011
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 head0.010
GPT teacher head0.279
Teacher spread0.269 · 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 designObservational
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
Citations11
Published2022
Admission routes1
Has abstractno