Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.
VenueNeurology · 2021
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsnot available
FundersNational Institute of Neurological Disorders and StrokeUniversitätsklinikum Hamburg-EppendorfChangi General HospitalSanofi GenzymeUniversity of North Carolina at Chapel HillUniversité de Versailles Saint-Quentin-en-YvelinesLeonard M. Miller School of MedicineBispebjerg HospitalNYU Grossman School of MedicineSzegedi TudományegyetemSouthwest Medical UniversityClínica Alemana de SantiagoSjællands UniversitetshospitalKwame Nkrumah University of Science and TechnologyParacelsus Medizinische PrivatuniversitätMassachusetts General HospitalLékařská fakulta, Masarykova univerzitaCreighton UniversityUniversity of TokushimaUniversity of ThessalyGaziantep ÜniversitesiEuropean CommissionUniversity of TabrizOhio State UniversityUniversity of Arkansas for Medical SciencesCentre Hospitalier Universitaire VaudoisUniversity of MiamiNational Science FoundationUniversité de LausanneEskişehir Osmangazi ÜniversitesiAnna UniversityDicle ÜniversitesiImam Abdulrahman Bin Faisal UniversityFujian Medical UniversityUniversidad de ValladolidHospices Civils de LyonUniversity of NottinghamUniversitetet i OsloCollege of Engineering, Michigan State UniversityTartu ÜlikoolServierMaastricht Universitair Medisch CentrumZhejiang UniversityTabriz University of Medical SciencesFleniSchweizerische HerzstiftungNovo NordiskMahidol UniversityKarolinska InstitutetFaculty of Medicine Siriraj Hospital, Mahidol UniversitySanofiEisaiUniversity of TsukubaShandong First Medical UniversityBundesministerium für GesundheitInstituto de Salud Carlos IIIStrykerQingdao UniversityKing Saud UniversityUniversitätsmedizin GöttingenDaiichi-SankyoCairo UniversityAin Shams UniversityUniversiteit MaastrichtMinistry of Education, Culture, Sports, Science and TechnologyNational Taiwan UniversityInstitut National de la Santé et de la Recherche MédicaleUniwersytet Jana Kochanowskiego w KielcachKowa CompanyUniversity of TorontoGenentechUniversity of AlbertaImperial College LondonAstraZenecaMansoura UniversityHaaglanden Medisch CentrumAustralian GovernmentUniversity of WashingtonPfizerUniversity of Texas Rio Grande ValleyEmory UniversitySutter HealthSichuan UniversityImperial College Healthcare NHS TrustVanderbilt University Medical CenterFujita Health UniversityNottingham University Hospitals NHS TrustMcMaster UniversityDaiichi Sankyo EuropeWannan Medical CollegeHotchkiss Brain Institute, University of CalgaryUniversity of OtagoUniversity of Texas Southwestern Medical CenterRigshospitaletAarhus UniversitetshospitalSchool of Medicine, Boston UniversityState University of New YorkTeva Pharmaceutical IndustriesBristol-Myers SquibbSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungWest China Hospital, Sichuan UniversityVanderbilt UniversityYork UniversityCleveland ClinicUniversitair Medisch Centrum GroningenMasarykova UniverzitaBiogenTufts Medical CenterMichigan State UniversityKarl-Franzens-Universität GrazUniversity of BernNational Taiwan University HospitalAmgenKawasaki Medical SchoolMedizinische Universität GrazNarodowe Centrum Badań i RozwojuUniversity of PennsylvaniaAkershus UniversitetssykehusShionogiHamad Medical CorporationNational Institutes of HealthChinese University of Hong KongSir Run Run Shaw HospitalAstellas PharmaUniwersytet Medyczny w LublinieAarhus UniversitetJapan Society for the Promotion of ScienceUniwersytet Medyczny im. Karola Marcinkowskiego w Poznaniu
KeywordsCoronavirus disease 2019 (COVID-19)Thrombolysis2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Stroke (engine)MedicinePandemicBetacoronavirusEmergency medicineVirologyMedical emergencyInternal medicineOutbreakEngineeringMyocardial infarction
Abstract
fetched live from OpenAlexOBJECTIVE: To measure the global impact of COVID-19 pandemic on volumes of IV thrombolysis (IVT), IVT transfers, and stroke hospitalizations over 4 months at the height of the pandemic (March 1 to June 30, 2020) compared with 2 control 4-month periods. METHODS: We conducted a cross-sectional, observational, retrospective study across 6 continents, 70 countries, and 457 stroke centers. Diagnoses were identified by their ICD-10 codes or classifications in stroke databases. RESULTS: < 0.0001) was noted over the 2 later (May, June) vs the 2 earlier (March, April) pandemic months. There was a 1.48% stroke rate across 119,967 COVID-19 hospitalizations. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection was noted in 3.3% (1,722/52,026) of all stroke admissions. CONCLUSIONS: The COVID-19 pandemic was associated with a global decline in the volume of stroke hospitalizations, IVT, and interfacility IVT transfers. Primary stroke centers and centers with higher COVID-19 inpatient volumes experienced steeper declines. Recovery of stroke hospitalization was noted in the later pandemic months.
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.
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)0.001
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 score0.008
Threshold uncertainty score0.405
Codex and Gemma teacher scores by category
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.
Teacher spread0.368 · 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
