Evidence map›Paper›PMID 34247153›Full record

ArticleCerebrovascular diseases (Basel, Switzerland)2021

Delayed Stroke Treatment during COVID-19 Pandemic in China.

Shiyuan Gu, Zhengze Dai, Huachao Shen, Yongjie Bai, Xiaohao Zhang, Xinfeng Liu, Gelin Xu

Open access · bronzeAbstract read
In one paragraph

Article in Cerebrovascular diseases (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
3.9field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Delayed Stroke Treatment during COVID-19 Pandemic in China.Cerebrovascular diseases (Basel, Switzerland) · 2021
    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

7 authors at 5 institutions in 1 country.

Shiyuan GuDepartment of Neurology, Jinling Clinical College of Nanjing Medical University, Nanjing, China.
Zhengze DaiDepartment of Neurology, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing Pukou Hospital, Nanjing, China.
Huachao ShenDepartment of Neurology, BenQ Medical Center, Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, China.
Yongjie BaiDepartment of Neurology, First Affiliated Hospital and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
Xiaohao ZhangDepartment of Neurology, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
Xinfeng LiuDepartment of Neurology, Jinling Clinical College of Nanjing Medical University, Nanjing, China.
Gelin XuDepartment of Neurology, Jinling Clinical College of Nanjing Medical University, Nanjing, China.
Nanjing General Hospital of Nanjing Military Command · CNFirst Affiliated Hospital of Henan University of Science and Technology · CNJiangsu University · CNNanjing Medical University · CNSecond Affiliated Hospital of Nanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial distance, quarantine, pathogen testing, and other preventive strategies implemented during CO-VID-19 pandemic may negatively influence the management of acute ischemic stroke (AIS).

objectiveThe current study aimed to evaluate the impacts of COVID-19 pandemic on treatment delay of AIS in China.

methodsThis study included patients with AIS admitted in 2 hospitals in Jiangsu, China. Patients admitted before and after the COVID-19 pandemic outbreak (January 31, 2020, as officially announced by the Chinese government) were screened to collect sociodemographic data, medical history information, and symptom onset status from clinical medical records and compared for pre- (measured as onset-to-door time [ODT]) and posthospital delay (measured as door-to-needle time [DNT]). The influencing factors for delayed treatment (indicated as onset-to-needle time >4.5 h) were analyzed with multivariate logistic regression analysis.

resultsA total of 252 patients were included, of which 153 (60.7%) were enrolled before and 99 (39.3%) after the COVID-19 pandemic. ODT increased from 202 min (interquartile range [IQR] 65-492) before to 317 min (IQR 75-790) after the COVID-19 pandemic (p = 0.001). DNT increased from 50 min (IQR 40-75) before to 65 min (IQR 48-84) after the COVID-19 pandemic (p = 0.048). The proportion of patients with intravenous thrombolysis in those with AIS was decreased significantly after the pandemic (15.4% vs. 20.1%; p = 0.030). Multivariate logistic regression analysis indicated that patients after COVID-19 pandemic, lower educational level, rural residency, mild symptoms, small artery occlusion, and transported by other means than ambulance were associated with delayed treatment.

conclusionsCOVID-19 pandemic has remarkable impacts on the management of AIS. Both pre- and posthospital delays were prolonged significantly, and proportion of patients arrived within the 4.5-h time window for intravenous thrombolysis treatment was decreased. Given that anti-COVID-19 measures are becoming medical routines, efforts are warranted to shorten the delay so that the outcomes of stroke could be improved.

Indexed as

Brain IschemiaCOVID-19Time-to-TreatmentAdministration, IntravenousAgedAged, 80 and overChinaFemaleHumansIschemic StrokeMaleMiddle AgedPandemicsSARS-CoV-2StrokeThrombolytic TherapyAcute strokeCOVID-19Intravenous thrombolysisTreatment delay

Identifiers

PMID34247153
PMCPMC8339026
OpenAlexW3182935445

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.