Evidence map›Paper›PMID 35387860›Full record

SynthesisJournal of neurointerventional surgery2022

Effects of the COVID-19 pandemic on stroke response times: a systematic review and meta-analysis.

Noah L A Nawabi, Akiro H Duey, John L Kilgallon, Charissa Jessurun, Joanne Doucette, Rania A Mekary, Mohammad Ali Aziz-Sultan

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of neurointerventional surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Noah L A NawabiComputational Neuroscience Outcomes Center, Harvard Medical School, Boston, Massachusetts, USA nnawabi@bwh.harvard.edu.
Akiro H DueyComputational Neuroscience Outcomes Center, Harvard Medical School, Boston, Massachusetts, USA.
John L KilgallonComputational Neuroscience Outcomes Center, Harvard Medical School, Boston, Massachusetts, USA.
Charissa JessurunComputational Neuroscience Outcomes Center, Harvard Medical School, Boston, Massachusetts, USA.
Joanne DoucetteComputational Neuroscience Outcomes Center, Harvard Medical School, Boston, Massachusetts, USA.
Rania A MekaryComputational Neuroscience Outcomes Center, Harvard Medical School, Boston, Massachusetts, USA.
Mohammad Ali Aziz-SultanComputational Neuroscience Outcomes Center, Harvard Medical School, Boston, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCOVID-19 presents a risk for delays to stroke treatment. We examined how COVID-19 affected stroke response times.

methodsA literature search was conducted to identify articles covering stroke during COVID-19 that included time metrics data pre- and post-pandemic. For each outcome, pooled relative change from baseline and 95% CI were calculated using random-effects models. Heterogeneity was explored through subgroup analyses comparing comprehensive stroke centers (CSCs) to non-CSCs.

results38 included studies reported on 6109 patients during COVID-19 and 14 637 patients during the pre-COVID period. Pooled increases of 20.9% (95% CI 5.8% to 36.1%) in last-known-well (LKW) to arrival times, 1.2% (-2.9% to 5.3%) in door-to-imaging (DTI), 0.8% (-2.9% to 4.5%) in door-to-needle (DTN), 2.8% (-5.0% to 10.6%) in door-to-groin (DTG), and 19.7% (11.1% to 28.2%) in door-to-reperfusion (DTR) times were observed during COVID-19. At CSCs, LKW increased by 24.0% (-0.3% to 48.2%), DTI increased by 1.6% (-3.0% to 6.1%), DTN increased by 3.6% (1.2% to 6.0%), DTG increased by 4.6% (-5.9% to 15.1%), and DTR increased by 21.2% (12.3% to 30.1%). At non-CSCs, LKW increased by 12.4% (-1.0% to 25.7%), DTI increased by 0.2% (-2.0% to 2.4%), DTN decreased by -4.6% (-11.9% to 2.7%), DTG decreased by -0.6% (-8.3% to 7.1%), and DTR increased by 0.5% (-31.0% to 32.0%). The increases during COVID-19 in LKW (p=0.01) and DTR (p=0.00) were statistically significant, as was the difference in DTN delays between CSCs and non-CSCs (p=0.04).

conclusionsFactors during COVID-19 resulted in significantly delayed LKW and DTR, and mild delays in DTI, DTN, and DTG. CSCs experience more pronounced delays than non-CSCs.

Indexed as

COVID-19StrokeFibrinolytic AgentsHumansPandemicsReaction TimeThrombolytic TherapyTime-to-TreatmentTreatment OutcomeFibrinolytic AgentsCOVID-19Stroke

Identifiers

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.