Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText.
Kick-your-searchterm to multiple Engines kick-your-query now !>
A dictionary by aggregated review articles of nephrology, medicine and the life sciences
Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

suck abstract from ncbi


10.1136/svn-2020-000514

http://scihub22266oqcxt.onion/10.1136/svn-2020-000514
suck pdf from google scholar
32989012!7523176!32989012
unlimited free pdf from europmc32989012    free
PDF from PMC    free
html from PMC    free

suck abstract from ncbi


Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
pmid32989012      Stroke+Vasc+Neurol 2020 ; 5 (4): 323-330
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Impact of COVID-2019 on stroke services in China: survey from the Chinese Stroke Association #MMPMID32989012
  • Wang X; Ouyang M; Carcel C; Chen C; Sun L; Yang J; Zhang Y; Chen G; You S; Cao Y; Ma L; Hu X; Sui Y; Anderson C; Song L; Wang Y; Wang D
  • Stroke Vasc Neurol 2020[Dec]; 5 (4): 323-330 PMID32989012show ga
  • BACKGROUND: The COVID-19 pandemic and physical distancing guidelines have compelled stroke practices worldwide to reshape their delivery of care significantly. We aimed to illustrate how the stroke services were interrupted during the pandemic in China. METHODS: A 61-item questionnaire designed on Wenjuanxing Form was completed by doctors or nurses who were involved in treating patients with stroke from 1 February to 31 March 2020. RESULTS: A total of 415 respondents completed the online survey after informed consent was obtained. Of the respondents, 37.8%, 35.2% and 27.0% were from mild, moderate and severe epidemic areas, respectively. Overall, the proportion of severe impact (reduction >50%) on the admission of transient ischaemic stroke, acute ischaemic stroke (AIS) and intracerebral haemorrhage (ICH) was 45.0%, 32.0% and 27.5%, respectively. Those numbers were 36.9%, 27.9% and 22.3%; 36.5%, 22.1% and 22.6%; and 66.4%, 47.5% and 41.1% in mild, moderate and severe epidemic areas, respectively (all p<0.0001). For AIS, thrombolysis was moderate (20%-50% reduction) or severely impacted (>50%), as reported by 54.4% of the respondents, while thrombectomy was 39.3%. These were 44.4%, 26.3%; 44.2%, 39.4%; and 78.2%, 56.5%, in mild, moderate and severe epidemic areas, respectively (all p<0.0001). For patients with acute ICH, 39.8% reported the impact was severe or moderate for those eligible for surgery who had surgery. Those numbers were 27.4%, 39.0% and 58.1% in mild, moderate and severe epidemic areas, respectively. For staff resources, about 20% (overall) to 55% (severe epidemic) of the respondents reported moderate or severe impact on the on-duty doctors and nurses. CONCLUSION: We found a significant reduction of admission for all types of patients with stroke during the pandemic. Patients were less likely to receive appropriate care, for example, thrombolysis/thrombectomy, after being admitted to the hospital. Stroke service in severe COVID-19 epidemic areas, for example, Wuhan, was much more severely impacted compared with other regions in China.
  • |COVID-19/*epidemiology[MESH]
  • |Cerebral Hemorrhage/epidemiology[MESH]
  • |China/epidemiology[MESH]
  • |Cross-Sectional Studies[MESH]
  • |Health Services/*statistics & numerical data[MESH]
  • |Humans[MESH]
  • |Ischemic Attack, Transient/epidemiology[MESH]
  • |Ischemic Stroke/epidemiology[MESH]
  • |Neurosurgery/statistics & numerical data[MESH]
  • |Pandemics[MESH]
  • |Patient Admission/statistics & numerical data[MESH]
  • |Patient Care Management[MESH]
  • |Stroke/*epidemiology/surgery/*therapy[MESH]
  • |Surveys and Questionnaires[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box