Evidence map›Paper›PMID 34427480›Full record

SynthesisInternational journal of stroke : official journal of the International Stroke Society2021

Stroke network performance during the first COVID-19 pandemic stage: A meta-analysis based on stroke network models.

Michele Romoli, Paolo Eusebi, Stefano Forlivesi, Mauro Gentile, Fabrizio Giammello, Laura Piccolo, David Giannandrea, Simone Vidale, Marco Longoni, Matteo Paolucci and 10 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International journal of stroke : official journal of the International Stroke Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Drip-and-ship toward mothership model for mechanical thrombectomy during COVID-19 pandemic: a retrospective analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
    Article
  9. Observational
  10. Review
  11. Stroke admissions during the COVID-19 pandemic: a single-center retrospective analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
    Article
  12. Article
  13. Article
  14. Stroke in the COVID-19 pandemic era.Postepy psychiatrii neurologii · 2022
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Michele RomoliIRCCS Istituto delle Scienze Neurologiche di Bologna, Neurology and Metropolitan Stroke Center,  "C.A. Pizzardi" Maggiore Hospital, Bologna, Italy.ORCID https://orcid.org/0000-0001-8009-8543
Paolo EusebiPublic Health Authority, Regione Umbria, Perugia, Italy.
Stefano ForlivesiIRCCS Istituto delle Scienze Neurologiche di Bologna, Neurology and Metropolitan Stroke Center,  "C.A. Pizzardi" Maggiore Hospital, Bologna, Italy.
Mauro GentileIRCCS Istituto delle Scienze Neurologiche di Bologna, Neurology and Metropolitan Stroke Center,  "C.A. Pizzardi" Maggiore Hospital, Bologna, Italy.
Fabrizio GiammelloInternational PhD in Translational Molecular Medicine and Surgery, Department of BIOMORF - University of Messina, Messina, Italy.ORCID https://orcid.org/0000-0002-2828-1305
Laura PiccoloIRCCS Istituto delle Scienze Neurologiche di Bologna, Neurology and Metropolitan Stroke Center,  "C.A. Pizzardi" Maggiore Hospital, Bologna, Italy.
David GiannandreaNeurologia e Stroke Unit, Ospedale di Gubbio e Gualdo Tadino, Perugia, Italy.ORCID https://orcid.org/0000-0001-5931-8986
Simone VidaleNeurology Unit, Rimini "Infermi" Hospital, AUSL Romagna, Rimini, Italy.ORCID https://orcid.org/0000-0003-1426-0885
Marco LongoniNeurology and Stroke Unit, Department of Neuroscience, "Maurizio Bufalini" Hospital, Cesena, Italy.
Matteo PaolucciNeurology and Stroke Unit, Department of Neuroscience, "Maurizio Bufalini" Hospital, Cesena, Italy.
Jessica HsiaoDepartment of Neurology, University of Cincinnati, USA.
Emily SaylesDepartment of Neurology, University of Cincinnati, USA.
Leonard Ll YeoDivision of Neurology, Department of Medicine, National University Hospital, National University Health System, Singapore, Singapore.
Espen Saxhaug KristoffersenDepartment of Neurology, Akershus University Hospital, Lørenskog, Norway.ORCID https://orcid.org/0000-0002-8999-5424
Angel ChamorroComprehensive Stroke Center, Department of Neuroscience, Hospital Clinic, University of Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0003-0493-5340
Liqun JiaoDepartment of Neurosurgery, Xuanwu Hospital, Beijing, China.ORCID https://orcid.org/0000-0003-4982-6295
Pooja KhatriDepartment of Neurology, University of Cincinnati, USA.
Georgios TsivgoulisDepartment of Neurology, University of Tennessee Health Science Center, Memphis, USA.ORCID https://orcid.org/0000-0002-0640-3797
Maurizio PaciaroniNeurology - Stroke Unit, Ospedale San Giuseppe, IRCCS MultiMedica, Milano, Italy.
Andrea ZiniIRCCS Istituto delle Scienze Neurologiche di Bologna, Neurology and Metropolitan Stroke Center,  "C.A. Pizzardi" Maggiore Hospital, Bologna, Italy.ORCID https://orcid.org/0000-0003-1486-4507

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe effect of the COVID pandemic on stroke network performance is unclear, particularly with consideration of drip&ship vs. mothership models.

aimsWe systematically reviewed and meta-analyzed variations in stroke admissions, rate and timing of reperfusion treatments during the first wave COVID pandemic vs. the pre-pandemic timeframe depending on stroke network model adopted. SUMMARY OF

findingsThe systematic review followed registered protocol (PROSPERO-CRD42020211535), PRISMA and MOOSE guidelines. We searched MEDLINE, EMBASE, and CENTRAL until 9 October 2020 for studies reporting variations in ischemic stroke admissions, treatment rates, and timing in COVID (first wave) vs. control-period. Primary outcome was the weekly admission incidence rate ratio (IRR = admissions during COVID-period/admissions during control-period). Secondary outcomes were (i) changes in rate of reperfusion treatments and (ii) time metrics for pre- and in-hospital phase. Data were pooled using random-effects models, comparing mothership vs. drip&ship model. Overall, 29 studies were included in quantitative synthesis (n = 212,960). COVID-period was associated with a significant reduction in stroke admission rates (IRR = 0.69, 95%CI = 0.61-0.79), with higher relative presentation of large vessel occlusion (risk ratio (RR) = 1.62, 95% confidence interval (CI) = 1.24-2.12). Proportions of patients treated with endovascular treatment increased (RR = 1.14, 95%CI = 1.02-1.28). Intravenous thrombolysis decreased overall (IRR = 0.72, 95%CI = 0.54-0.96) but not in the mothership model (IRR = 0.81, 95%CI = 0.43-1.52). Onset-to-door time was longer for the drip&ship in COVID-period compared to the control-period (+32 min, 95%CI = 0-64). Door-to-scan was longer in COVID-period (+5 min, 95%CI = 2-7). Door-to-needle and door-to-groin were similar in COVID-period and control-period.

conclusionsDespite a 35% drop in stroke admissions during the first pandemic wave, proportions of patients receiving reperfusion and time-metrics were not inferior to control-period. Mothership preserved the weekly rate of intravenous thrombolysis and the onset-to-door timing to pre-pandemic standards.

Indexed as

COVID-19Thrombolytic TherapyHospitalizationHumansIncidencePandemicsReperfusionStrokeTime-to-TreatmentCOVIDdrip and shipmothershipStrokestroke network

Identifiers

PMID34427480
PMCPMC8521356

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.