← Back to cohort
Global Impact of the COVID-19 Pandemic on Stroke Volumes and Cerebrovascular Events
Thanh N. Nguyen, Muhammad M. Qureshi, Piers Klein, Hiroshi Yamagami, Robert Mikulík, Anna Członkowska, Mohamad Abdalkader, Petra Šedová, Anvitha Sathya, Hannah Lo, Malek Mansour, Husitha Reddy Vanguru, É. Lesaine, Georgios Tsivgoulis, Aaron Loochtan, Jelle Demeestere, Ken Uchino, Violiza Inoa, Nitin Goyal, Andreas Charidimou, James E. Siegler, Shadi Yaghi, Diana Aguiar de Sousa, Mahmoud Mohammaden, Diogo C Haussen, Espen Saxhaug Kristoffersen, Virginia Pujol Lereis, Sergio Scollo, Bruce Campbell, Alice Ma, James Thomas, Mark Parsons, Shaloo Singhal, Lee‐Anne Slater, Rodrigo Tomazini Martins, Chris Enzinger, Thomas Gattringer, Aminur Rahman, Thomas Bonnet, Noémie Ligot, Sylvie De Raedt, Robin Lemmens, Peter Vanacker, Fenne Vandervorst, Adriana Bastos Conforto, Raquel C.T. Hidalgo, Luciana de Oliveira Neves, Rodrigo Targa Martins, Daissy Liliana Mora Cuervo, Letícia C. Rebello, Igor Bessa Santiago, Isabelle Lameirinhas da Silva, Teodora Sakelarova, Rosen Kalpachki, Filip Alexiev, Luciana Catanese, Elena Adela Cora, Mayank Goyal, Michael D. Hill, Michael Kelly, Houman Khosravani, Pascale Lavoie, Lissa Peeling, Aleksandra Pikula, Rodrigo Rivera, Dawei Chen, Yimin Chen, Xiaochuan Huo, Zhongrong Miao, Shuiquan Yang, Marina Roje Bedeković, Marina Bralić, Hrvoje Budinčević, Ángel Basilio Corredor-Quintero, Osvaldo E. Lara-Sarabia, Martin Čábal, Dusan Tenora, Petr Fibrich, Roman Herzig, Helena Hlaváčová, Emanuela Hrabanovska, David Hlinovský, Lubomír Jurák, Jana Kadlcíková, Igor Karpowicz, Lukáš Klečka, Martin Kovář, David Lauer, Jiří Neumann, Hana Paloušková, Martin Reiser, Petra Reková, Vladimír Rohan, Ondřej Škoda, Miroslav Škorňa, Lenka Sobotková, Martin Šrámek, Lenka Žáková, Hanne Christensen, Nicolas Drenck, Helle K. Iversen, Thomas Truelsen, Troels Wienecke, Khalid M. Sobh, Pauli Ylikotila, Kemal Alpay, Daniel Strbian, Patricia Bernady, Philippe Casenave, Maria Dan, Jean‐Marc Faucheux, Jean‐Christophe Gentric, Elsa Magro, Candice Sabben, Peggy Reiner, François Rouanet, Ferdinand O. Bohmann, Stefan Boskamp, Joshua Mbroh, Simon Nagel, Christian H. Nolte, Peter A. Ringleb, Michael Rosenkranz, Sven Poli, Götz Thomalla, Theodoros Karapanayiotides, Ioanna Koutroulou, Odysseas Kargiotis, Lina Palaiodimou, Jose Dominguo Barrientos Guerra, Vikram Huded, Bindu Menon, Shashank Nagendra, Chintan Prajapati, PN Sylaja, Nyoman Angga Krishna Pramana, Achmad Firdaus Sani, Abdoreza Ghoreishi, Mehdi Farhoudi, Elyar Sadeghi‐Hokmabadi, Tariq Abu Raya, Shani Avnery Kalmanovich, Levite Ronen, Sergiu Sabetay, Maurizio Acampa, Alessandro Adami, Lucio Castellan, Marco Longoni, Raffaele Ornello, Leonardo Renieri, Claudia Rolla Bigliani, Michele Romoli, Simona Sacco, Andrea Salmaggi, Davide Sangalli, Andrea Zini, Ryosuke Doijiri, Hiroki Fukuda, Toshiyuki Fujinaka, Kyohei Fujita, Hirotoshi Imamura, Nobuyuki Sakai, Takuya Kanamaru, Naoto Kimura, Ryuhei Kono, Kosuke Miyake, Manabu Sakaguchi, Kenichiro Sakai, Kazutaka Sonoda, Kenichi Todo, Fumio Miyashita, Naoki Tokuda, Yuji Matsumaru, Shoji Matsumoto, Nobuyuki Ohara, Seigo Shindo, Yohei Takenobu, Takeshi Yoshimoto, Ḱazunori Toyoda, Takeshi Uwatoko, Yoshiki Yagita, Takehiro Yamada, Nobuaki Yamamoto, Ryoo Yamamoto, Yukako Yazawa, Yuri Sugiura, Peter Waweru, Jang‐Hyun Baek, Si Baek Lee, Kwon–Duk Seo, Sung‐Il Sohn, Anita Arsovska, Yong Chieh Chan, Wan Asyraf Wan Zaidi, Ainul Syahrilfazli Jaafar, Fernando Góngora‐Rivera, Manuel Martínez-Marino, Adrián Infante-Valenzuela, Stanislav Groppa, Pavel Leahu, Jonathan M. Coutinho, Leon A. Rinkel, Diederik W.J. Dippel, Dianne H.K. van Dam-Nolen, Annemarei Ranta, Teddy Y. Wu, Tajudeen Temitayo Adebayo, Abiodun Bello, Ernest Nwazor, Taofiki Sunmonu, Ole Morten Rønning, Else Charlotte Sandset, Amal Al Hashmi, Saima Ahmad, Umair Rashid, Liliana Rodríguez-Kadota, Miguel A. Vences, Patrick Yalung, J Dy, Maria Carissa Pineda-Franks, Christian Oliver, Waldemar Brola, Aleksander Dȩbiec, Małgorzata Dorobek, Michał Karliński, Beata Łabuz-Roszak, Anetta Lasek‐Bal, Halina Sienkiewicz‐Jarosz, Jacek Staszewski, Piotr Sobolewski, Marcin Wiącek, Justyna Zielińska-Turek, André Araújo, Mariana Rocha, Pedro Castro, Vítor Tedim Cruz, Paulo Ferreira, Patrícia Ferreira, Ana Paiva Nunes, Luísa Fonseca, João Pedro Marto, Teresa M. V. D. Pinho e Melo, Miguel Rodrigues, M. Luis Silva, Adela Dimitriade, Cristian Falup‐Pecurariu, May Adel Hamid, Narayanaswamy Venketasubramanian, Georgi Krastev, Miroslav Mako, Óscar Ayo‐Martín, Francisco Hernández‐Fernández, Jordi Blasco, Alejandro Rodríguez-Vázquez, Antonio Culebras, Francisco Moniche, Joan Montaner, Soledad Pérez-Sánchez, María Jesús García Sánchez, Marta Guillán, Katarina Jood, Annika Nordanstig, Michael V. Mazya, Tiago Moreira, Gianmarco Bernava, Morin Beyeler, Manuel Bolognese, Emmanuel Carrera, Tomas Dobrocky, Grzegorz Marek Karwacki, E. Keller, Chang Yang Hsieh, Surawan Boonyakarnkul, Anchalee Churojana, Özlem Aykaç, Atilla ÖZDEMİR, Arsida Bajrami, Songül Şenadım, Syed Hussain, Seby John, Soma Banerjee, Joseph Kwan, Kailash Krishnan, Robert Lenthall, Ashok Matthews, Ken Wong, Liqun Zhang, Dorothea Altschul, Kaiz Asif, Zeelalem Bahiru, Kristine Below, José Biller, Sean Ruland, Saqib Chaudry, Michael Chen, Alex Chebl, Jackie Cibulka, Leon Cistrunk, Judith Clark, Marco Colasurdo, Alexandra L. Czap, Adam de Havenon, Salvatore D’Amato, Sushrut Dharmadhikari, Kasey B. Grimmett, Adam A. Dmytriw, Mark R. Etherton, Chizoba Ezepue, Mudassir Farooqui, Steven K. Feske, Lauren Fink, Ulviyya Gasimova, Amy Guzik, Maryam Hakemi, Majesta Hovingh, Muhib Khan, Dinesh Jillella, Peter Kan, Rakesh Khatri, Ayaz Khawaja, Naïm Khoury, Nicole L. Kiley, Benny S. Kim, Murali Kolikonda, Anna Luisa Kühn, Stephanie Lara, Guillermo Linares, Italo Linfante, Timothy G. Lukovits, Sarah Lycan, Shailesh Male, Laith Maali, John Mancin, Hesham Masoud, Ghada Mohamed, André Monteiro, Fadi Nahab, Krishna Nalleballe, Santiago Ortega‐Gutiérrez, Ajit S Puri, Yazan Radaideh, Rahul Rahangdale, Ansaar Rai, Pankajavalli Ramakrishnan, Aravind B. Reddy, Diana Rojas-Soto, José R. Romero, Natalia S. Rost, Aaron Rothstein, Setareh Salehi Omran, Sunil A. Sheth, Adnan H. Siddiqui, Amy Starosciak, Nicholas Tarlov, Robert A. Taylor, Michael J. Wang, Jared Wolfe, Ka‐Ho Wong, Huynh Vu Le, Quy Viet Nguyen, Thong Nhu Pham, Trung Thành Nguyễn, Hoang Phan, Mai Duy Ton, Urs Fischer, Patrik Michel, Davide Strambo, Sheila Cristina Ouriques Martins, Osama O. Zaidat, Raul G. Nogueira
Bibliographic record
VenueNeurology · 2022
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsHealth Sciences CentreRoyal University HospitalMcMaster UniversityLondon Health Sciences CentreToronto Western HospitalDalhousie UniversityUniversity of TorontoUniversity of CalgarySunnybrook Health Science CentreWestern University
FundersFaculty of Medicine Siriraj Hospital, Mahidol UniversityCanadian Institutes of Health ResearchBayer YakuhinSchool of Medicine, Emory UniversityHealth Science Center, University of TennesseeCollege of Engineering, Michigan State UniversityAstraZenecaGenentechNational Institutes of HealthAlexion PharmaceuticalsTabriz University of Medical SciencesBarts Health NHS TrustNottingham University Hospitals NHS TrustSuomen RadiologiyhdistysLondon Health Sciences CentreSchweizerische HerzstiftungDaiichi-SankyoMahidol UniversityMcGovern Medical SchoolImperial College LondonUniversity of Texas Health Science Center at HoustonImperial College Healthcare NHS TrustSaint Louis UniversityBrigham and Women's HospitalLoyola University Chicago Stritch School of MedicineStrykerEskişehir Osmangazi ÜniversitesiLoyola University ChicagoHenry Ford Health SystemTexas Tech UniversityEli Lilly and CompanyState University of New YorkNational Institute of Neurological Disorders and StrokeUniversität ZürichMinisterstvo Školství, Mládeže a TělovýchovyAllerganRush UniversityWayne State UniversityCleveland ClinicSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungDaiichi Sankyo EuropeYale UniversityNational Science FoundationMassachusetts General HospitalBristol-Myers SquibbTeva Pharmaceutical IndustriesCanadian Stroke ConsortiumPfizerBiogenUniversity of Illinois at Urbana-ChampaignHôpitaux Universitaires de GenèveMichigan State UniversityUniversity of TabrizUniversity of NottinghamEmory UniversityDartmouth CollegeAmarin Corporation
KeywordsMedicinePandemicStroke (engine)Coronavirus disease 2019 (COVID-19)ThrombolysisEmergency medicineRetrospective cohort studySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakPediatricsInternal medicineVirologyDiseaseMyocardial infarction
Abstract
BACKGROUND AND OBJECTIVES: Declines in stroke admission, IV thrombolysis (IVT), and mechanical thrombectomy volumes were reported during the first wave of the COVID-19 pandemic. There is a paucity of data on the longer-term effect of the pandemic on stroke volumes over the course of a year and through the second wave of the pandemic. We sought to measure the effect of the COVID-19 pandemic on the volumes of stroke admissions, intracranial hemorrhage (ICH), IVT, and mechanical thrombectomy over a 1-year period at the onset of the pandemic (March 1, 2020, to February 28, 2021) compared with the immediately preceding year (March 1, 2019, to February 29, 2020). METHODS: codes or classifications in stroke databases. RESULTS: = 0.49). Stroke was diagnosed in 1.3% [1.31-1.38] of 406,792 COVID-19 hospitalizations. SARS-CoV-2 infection was present in 2.9% ([2.82-2.97], 5,656/195,539) of all stroke hospitalizations. DISCUSSION: There was a global decline and shift to lower-volume centers of stroke admission volumes, ICH volumes, and IVT volumes during the 1st year of the COVID-19 pandemic compared with the prior year. Mechanical thrombectomy volumes were preserved. These results suggest preservation in the stroke care of higher severity of disease through the first pandemic year. TRIAL REGISTRATION INFORMATION: This study is registered under NCT04934020.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.605
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) | 0.000 | 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 head0.055
GPT teacher head0.385
Teacher spread0.330 · 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 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
Citations48
Published2022
Admission routes2
Has abstractyes