Evidence map›Paper›PMID 32828638›Full record

Observational studyJournal of stroke and cerebrovascular diseases : the official journal of National Stroke Association2020

Environmental Factors and Hyperacute Stroke Care Activity During the COVID-19 Pandemic: An Interrupted Time-Series Analysis.

Matthew Gittins, Christopher Ashton, Neil Holden, Stephen Cross, Srinath Meadipudi, Khalil Kawafi, Ilse Burger, Sarah Rickard, Andy Vail, Jane Molloy and 1 more

Open access · bronzeAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 1 country.

Matthew GittinsCentre for Biostatistics, School of Health Sciences, University of Manchester, Manchester Academic Health Science Centre, Manchester M139PL, UK. Electronic address: Matthew.Gittins@manchester.ac.uk.
Christopher AshtonGreater Manchester Stroke Operational Delivery Network, Hosted by Salford Royal Hospital, Salford, UK.
Neil HoldenManchester Centre for Clinical Neurosciences, Manchester Academic Health Science Centre, Salford Royal Hospital, Salford, UK.
Stephen CrossHyperacute Stroke Unit, Stepping Hill Hospital, Stockport, UK.
Srinath MeadipudiHyperacute Stroke Unit, Fairfield General Hospital, Bury, UK.
Khalil KawafiDivision of Cardiovascular Sciences, Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK.
Ilse BurgerManchester Centre for Clinical Neurosciences, Manchester Academic Health Science Centre, Salford Royal Hospital, Salford, UK.
Sarah RickardGreater Manchester Stroke Operational Delivery Network, Hosted by Salford Royal Hospital, Salford, UK.
Andy VailCentre for Biostatistics, School of Health Sciences, University of Manchester, Manchester Academic Health Science Centre, Manchester M139PL, UK.
Jane MolloyGreater Manchester Stroke Operational Delivery Network, Hosted by Salford Royal Hospital, Salford, UK; Manchester Centre for Clinical Neurosciences, Manchester Academic Health Science Centre, Salford Royal Hospital, Salford, UK.
Craig J SmithManchester Centre for Clinical Neurosciences, Manchester Academic Health Science Centre, Salford Royal Hospital, Salford, UK; Division of Cardiovascular Sciences, Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK.
Manchester Academic Health Science Centre · GBSalford Royal Hospital · GBFairfield General Hospital · GBStepping Hill Hospital · GBUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsConcerns have arisen regarding patient access and delivery of acute stroke care during the COVID-19 pandemic. We investigated key population level events on activity of the three hyperacute stroke units (HASUs) within Greater Manchester and East Cheshire (GM & EC), whilst adjusting for environmental factors.

methodsWeekly stroke admission & discharge counts in the three HASUs were collected locally from Emergency Department (ED) data and Sentinel Stroke National Audit Programme core dataset prior to, and during the emergence of the COVID-19 pandemic (Jan 2020 to May 2020). Whilst adjusting for local traffic-related air pollution and ambient measurement, an interrupted time-series analysis using a segmented generalised linear model investigated key population level events on the rate of stroke team ED assessments, admissions for stroke, referrals for transient ischaemic attack (TIA), and stroke discharges.

resultsThe median total number of ED stroke assessments, admissions, TIA referrals, and discharges across the three HASU sites prior to the first UK COVID-19 death were 150, 114, 69, and 76 per week. The stable weekly trend in ED assessments and stroke admissions decreased by approximately 16% (and 21% for TIAs) between first UK hospital COVID-19 death (5

conclusionDespite adjustment for environmental factors stroke activity was temporarily modified by the COVID-19 pandemic. Underlying motivations within the population are still not clear. This raises concerns that patients may have avoided urgent health care risking poorer short and long-term health outcomes.

Indexed as

EnvironmentPatient Acceptance of Health CareCoronavirus InfectionsCOVID-19Delivery of Health Care, IntegratedEnglandHumansInterrupted Time Series AnalysisIschemic Attack, TransientPandemicsPatient AdmissionPneumonia, ViralReferral and ConsultationRisk FactorsStrokeTime FactorsCOVID-19Interrupted time-seriesStroke activityTIA

Identifiers

PMID32828638
PMCPMC7402099
OpenAlexW3046416916

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.