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Enregistrement W4402732750 · doi:10.1001/jama.2024.13933

Thrombectomy for Stroke With Large Infarct on Noncontrast CT

2024· article· en· W4402732750 sur OpenAlexaboutno aff
Rhonda White, Kerry Gembreska, Varun Chaubal, Mohammad Almajali, Yazan Ashouri, Jasmine M. Olvany, Laila A. Ibrahim, Michael Previti, Shannon Huffaker, Dione Froman, Peter A. Balousek, Bridget Gatscher, Amy K. Erickson, Laura Nguyen, Teji Dulai, Gustavo Rodríguez, Faheem Sheriff, Zeguang Ren, Waldo R. Guerrero, Kunal Vakharia, Anjan Ballekere, Rania Abdelkhaleq, Ananya Iyyangar, Hussain Azeem, Michael Nahhas, Ashutosh Mahapatra, Raquel Rulloda, Rami Z. Morsi, Sonam Thind, Ali Mansour, Harrison Lee, S Calhoun, Misty L Burns, K.N. Murali, Kenneth Liu, Kathleen Gross, Lynn Perez, Nabil B. Ghazal, Katharine Gross, Danielle Otis, Tatiana Burkholder, Kelly Torres, Lisa Carolan-Katz, Timothy Carew, T W Pyle, Anita Buitenwerf, Courtney VanderBroek, Julie A. Harning, Christine A Holmstedt, Ghada Mohamed, Kimberly Kicielinski, Jonathan Lena, Shelly Ozark, Chirantan Banerjee, Parneet Grewal, Ashley Wabnitz, Richard Libman, Henry H. Woo, Ina Teron Molina, Erin Schwartz, Alicia Dee, Daphne Batanero, Thomas Scicutella, Rohan Arora, Christina Kelly, Gaurav Kapoor, Thomas W. Link, Prateeka Koul, Siddharth Dalal, Ahmad A. Ballout, Kirendra Pasram, Emma Lao, Charell Brinkley, Richard Dima, Sabah Iqbal, Parita Bhuva, Paul Hansen, Jazba Soomro, Osman Mir, Norman Ajoboye, Christian Cajavilca, Charoskhon Turabova, Imran Farooqui, Mary-Ann Fares, Kevin Yeboah, Jonathan Greco, Jessica Whitis, Sowmya R. Rao, Peggy Vo, Lametria West, Jing Lu, Pauline Matheri, Rocio Sauder, B T Jackson, Scott L Paradise, Shonda Clark, Yong H. Park, Joseph J. Park, Sabeen Dhand, Paul O’Connor, Margaret Gaston, Stephanie M. Raygoza, Krystal Valdez, Priyank Khandelwal, Pradeep Joseph, Roxanne Nagurka, Shashvat M. Desai, Enrique C. Leira, Amir Shaban, Malik Ghannam, Hannah Roeder, Heena Olalde, K Dlouhy, Colin P. Derdeyn, Minako Hayaawa, Siddhart Mehta, Farah Fourcand, Abdallah Amireh, Haralabos Zacharatos, Vimla Parboji, Harish Shownkeen, Avi Mazumdar, B Fill, Eva Chwastowska, Izabela Holanday, Rosemarie R. Baligod, Jennifer Schmidt, SoHyun Boo, Abdul Tarabishy, Phong Vu, Ryan C Turner, Michael Czaplicki, Jennifer Domico, Paramjot Kaur, Vasu Saini, Joshua Burks Burks, Joshua Abecassis, Guillermo Linares, Jay Vanchhani, Paul M. Foreman, Charlene Carlo, Melanie B. Pakulski, Diane L. Philip, Richard Burgess, Vieh Kung, Julie Shawver, Melinda Hendricks‐Jones, Monica M. Hajjar, Sarah Robbins, Emily Sedlak, Trisha Dwyer, Christopher Crayne, Rahul Rao, Swayamprava Panda, Sherry L Mosier, Jasmeet Singh, Elad I. Levy, Jason M. Davies, Kenneth V. Snyder, Scott Brown, Thanh N. Nguyen, Daryl R. Gress, Diederik W.J. Dippel, Wade S. Smith, Ziad Darkhabani, Sudeepta Dandapat, Kindy Szarzynski, Batul Dhariwala, Tonya Hollrith, Laura Thoreson, Margaret Scott, V Kerr, Gursant Atwal, Linda Rose‐Finnell, Christine Maley, Madhav Sukhumaran, Babak S. Jahromi, Donald R. Cantrell, R Abdalla, Matthew B. Potts, Ali Shaibani, Ayesha Muzaffar, Esmeralda Cardoso-Mendoza, Vivek Reddy, Peter Hannon, Lee Chung, Peter Tekiela, Knut Hoversten, Dana DeWitt, Jana Wold, Craig Kilburg, Phil Taussky, Matthew R. Alexander, David Renner, Muhammed Chauhan, Safdar Ansari, Pankaj Sharma, Junaid Ansari, Luis DeAlba, Nimer Adeeb, Amey Savardekar, Roger Kelly, Oleg Chernyshev, Kimberly Carroll, Nathaniel Glassy, Scott Geraghty, Diana Sullivan, Mira Pasawala, April Levesque, Laura Atkin, Emma Hall, Elida Romo, Mahmoud Rayes, Bharath Naravetla, Jonathan Stearn, Valentyna Onishchuk, E. Mary Thompson, Marci Roberts, Amit Singla, Volodymyr Vulkanov, Esther A. Nimchinsky, Arundhati Biswas, A. Hidalgo, Nora Montealegre, Yesenia Sanchez, Anastasia Vechera, Nicole Mercado, Jennifer Unzen, Ahmad Khaldi, Chris Horn, Kumiko Owada, Raisa C. Martínez, Ugo Nwosu, Erica Ononiwu, Janhavi Modak, Kasey B. Grimmett, Sharon Aureli, Sandy Mitchell, J. Gordon Boak, Lonna Blaske, Vivien Lee, Ciarán J. Powers, Shahid Minjee, Patrick Youssef, Weiping Ye, Mohammad Hamed, Luke Herren, Albert J. Yoo, Osama O. Zaidat, Sunil G. Sheth, Ansaar Rai, Santiago Ortega-Gutierrez, Curtis A. Given, Syed Hassan Ejaz Zaidi, Ramesh Grandhi, Hugo Cuellar, Maxim Mokin, Jeffrey M. Katz, Amer Alshekhlee, Muhammad Taqi, Sameer A. Ansari, Adnan H. Siddiqui, Nobl Barazangi, Joey English, Alberto Maud, Jawad F. Kirmani, Rishi Gupta, Dileep R. Yavagal, Jason Tarpley, Dhruvil J. Pandya, Marshall C. Cress, Sushrut Dharmadhikari, Kaiz Asif, Tareq Kass‐Hout, Ajit S. Puri, Nazli Janjua, Aniel Majjhoo, Aamir Badruddin, Randall C. Edgell, Rakesh Khatri, Larry Morgan, Anmar Razak, Alicia Zha, Nils Mueller‐Kronast, Dennis J. Rivet, Thomas W. Wolfe, Brian Snelling, Ali Sultan‐Qurraie, Shao‐Pow Lin, Rajkamal Khangura, Alejandro M Spiotta, Sergio Salazar-Marioni, Eugene Lin, Edgar A. Samaniego, Murali Kolikonda, Mouhammad Jumaa, Olvert A. Berkhemer, Pieter‐Jan van Doormaal, Adriaan C.G.M. van Es, Wim H. van Zwam, Bart J. Emmer, Ludo F.M. Beenen, Charles B.L.M. Majoie, Nancy Buderer, Michelle A. Detry, Anna Bosse, Todd Graves, Christina Saunders, Lucas Elijovich, Ashutosh P. Jadhav, Mary Patterson, Hannah Slight, Kristine Below, Sami Al Kasab

Notice bibliographique

RevueJAMA · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Ischemic Stroke Management
Établissements canadiensnon disponible
Organismes subventionnairesLeonard M. Miller School of MedicineLSU Health ShreveportUniversity at BuffaloCollege of Engineering, Michigan State UniversityHackensack Meridian HealthFeinberg School of MedicineNorthwell HealthMcGovern Medical SchoolMichigan State UniversitySaint Louis UniversityUniversity of South FloridaUniversity of Illinois at Urbana-ChampaignUniversiteit van AmsterdamWest Virginia UniversitySchool of MedicineTexas Tech UniversityAmsterdam University Medical CentersVirginia Commonwealth UniversityNorthwestern UniversityOhio State UniversitySutter HealthUniversity of Miami
Mots-clésMedicineStroke (engine)Randomized controlled trialModified Rankin ScaleRadiologyClinical endpointInterim analysisPopulationSurgeryInternal medicineIschemic strokeIschemia

Résumé

récupéré en direct d'OpenAlex

Importance: Recent large infarct thrombectomy trials used heterogeneous imaging modalities and time windows for patient selection. Noncontrast computed tomographic (CT) scan is the most common stroke imaging approach. It remains uncertain whether thrombectomy is effective for patients with large infarcts identified using noncontrast CT alone within 24 hours of stroke onset. Objective: To evaluate the effect of thrombectomy in patients with a large infarct on a noncontrast CT scan within 24 hours of onset. Design, Setting, and Participants: Open-label, blinded-end point, bayesian-adaptive randomized trial with interim analyses for early stopping (futility or success) or population enrichment, which was conducted at 47 US academic and community-based stroke thrombectomy centers. Three hundred patients presenting within 24 hours with anterior-circulation, large-vessel occlusion and large infarct on noncontrast CT scan, with Alberta Stroke Program Early CT Scores of 2 to 5, were randomized to undergo thrombectomy or usual care. Enrollment occurred July 16, 2019 to October 17, 2022; final follow-up, January 25, 2023. Intervention: The intervention patients (n = 152) underwent endovascular treatment using standard thrombectomy devices and usual medical care. Control patients (n = 148) underwent usual medical care alone. Main Outcomes and Measures: The primary efficacy end point was improvement in 90-day functional outcome measured using mean utility-weighted modified Rankin Scale (UW-mRS) scores (range, 0 [death or severe disability] to 10 [no symptoms]; minimum clinically important difference, 0.3). A bayesian model determined the posterior probability that the intervention would be superior to usual care; statistical significance was a 1-sided posterior probability of .975 or more. The primary adverse event end point was 90-day mortality; secondary adverse event end points included symptomatic intracranial hemorrhage and radiographic intracranial hemorrhage. Results: The trial enrolled 300 patients (152 intervention, 148 control; 138 females [46%]; median age, 67 years), without early stopping or enrichment; 297 patients completed the 90-day follow-up. The mean (SD) 90-day UW-mRS score was 2.93 (3.39) for the intervention group vs 2.27 (2.98) for the control group with an adjusted difference of 0.63 (95% credible interval [CrI], -0.09 to 1.34; posterior probability for superiority of thrombectomy, .96). The 90-day mortality was similar between groups: 35.3% (53 of 150) for the intervention group vs 33.3% (49 of 147) for the control group. Six of 151 patients (4.0%) in the intervention group and 2 of 149 (1.3%) in the control group experienced 24-hour symptomatic intracranial hemorrhage. Fourteen patients of 148 (9.5%) in the intervention group vs 4 of 146 (2.7%) in the control group experienced parenchymal hematoma type 1 hemorrhages; 14 (9.5%) in the intervention group vs 5 (3.4%) in the control group experienced parenchymal hematoma type 2 hemorrhages; and 24 (16.2%) in the intervention group vs 9 (6.2%) in the control group experienced subarachnoid hemorrhages. Conclusions and Relevance: Among patients with a large infarct on noncontrast CT within 24 hours, thrombectomy did not demonstrate improvement in functional outcomes. But the width of the credible interval around the effect estimate includes the possibility of both no important effect and a clinically relevant benefit, so the potential role of thrombectomy with this imaging approach and time window will likely require additional study. Trial Registration: ClinicalTrials.gov Identifier: NCT03805308.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,316
Score d'incertitude au seuil0,401

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,011
Tête enseignante GPT0,277
Écart entre enseignants0,266 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations125
Publié2024
Routes d'admission1
Résumé présentoui

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