Evidence map›Paper›PMID 36890633›Full record

ArticleCNS neuroscience & therapeutics2023

Impact of the COVID-19 pandemic on acute stroke care: An analysis of the 24-month data from a comprehensive stroke center in Shanghai, China.

Qimin Hu, Yiming Hu, Yue Gu, Xiaoyan Song, Yijue Shen, Haiyan Lu, Li Zhang, Peifeng Liu, Guodong Wang, Chunni Guo and 2 more

Open access · goldAbstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

12 authors at 1 institution in 1 country.

Qimin HuDepartment of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yiming HuDepartment of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yue GuDepartment of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0003-3820-9734
Xiaoyan SongDepartment of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yijue ShenDepartment of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Haiyan LuDepartment of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Li ZhangDepartment of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Peifeng LiuDepartment of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Guodong WangDepartment of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chunni GuoDepartment of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Kan FangDepartment of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Qiaoshu WangDepartment of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-0748-3944
Shanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWhether the coronavirus disease-2019 (COVID-19) pandemic is associated with a long-term negative impact on acute stroke care remains uncertain. This study aims to compare the timing of key aspects of stroke codes between patients before and after the COVID-19 pandemic.

methodsThis retrospective cohort study was conducted at an academic hospital in Shanghai, China and included all adult patients with acute ischemic stroke hospitalized via the emergency department (ED) stroke pathway during the 24 months since the COVID-19 outbreak (COVID-19: January 1, 2020-December 31, 2021). The comparison cohort included patients with ED stroke pathway visits and hospitalizations during the same period (pre-COVID-19: January 1, 2018-December 31, 2019). We compared critical time points of prehospital and intrahospital acute stroke care between patients during the COVID-19 era and patients during the pre-COVID-19 era using t test, χ

resultsA total of 1194 acute ischemic stroke cases were enrolled, including 606 patients in COVID-19 and 588 patients in pre-COVID-19. During the COVID-19 pandemic, the median onset-to-hospital time was about 108 min longer compared with the same period of pre-COVID-19 (300 vs 192 min, p = 0.01). Accordingly, the median onset-to-needle time was 169 min in COVID-19 and 113 min in pre-COVID-19 (p = 0.0001), and the proportion of patients with onset-to-hospital time within 4.5 h was lower (292/606 [48.2%] vs 328/558 [58.8%], p = 0.0003) during the pandemic period. Furthermore, the median door-to-inpatient admission and door-to-inpatient rehabilitation times increased from 28 to 37 h and from 3 to 4 days (p = 0.014 and 0.0001).

conclusionsDuring the 24 months of COVID-19, a prolongation of stroke onset to hospital arrival and to intravenous rt-PA administration times were noted. Meanwhile, acute stroke patients needed to stay in the ED for a longer time before hospitalization. Educational system support and process optimization should be pursued in order to acquire timely delivery of stroke care during the pandemic.

Indexed as

COVID-19Ischemic StrokeStrokeAdultChinaHumansPandemicsRetrospective StudiesThrombolytic TherapyTime-to-TreatmentCOVID-19emergency servicehospitalischemic strokepandemics

Identifiers

PMID36890633
PMCPMC10324355
OpenAlexW4323652968

What OpenQuestion holds

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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.