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


10.1177/1533033820945774

http://scihub22266oqcxt.onion/10.1177/1533033820945774
suck pdf from google scholar
32783511!7425307!32783511
unlimited free pdf from europmc32783511    free
PDF from PMC    free
html from PMC    free

Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32783511&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215

suck abstract from ncbi

pmid32783511      Technol+Cancer+Res+Treat 2020 ; 19 (?): 1533033820945774
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Challenges for a Cancer Center in the Novel Coronavirus Pneumonia Epidemic #MMPMID32783511
  • Wang XS; Zeng M
  • Technol Cancer Res Treat 2020[Jan]; 19 (?): 1533033820945774 PMID32783511show ga
  • INTRODUCTION: The novel Coronavirus disease 2019 pandemic is sweeping through China, posing the greatest ever threat to its public health and economy. As a tertiary cancer center in Southwest China, we formulated and implemented an anti-infection protocol to prevent the spread of Coronavirus disease 2019 in our department. METHODS: The anti-infection protocol divided patients into 3 categories, namely outpatients, inpatients, and patients receiving radiation therapy at our cancer center, and each category had a distinct anti-infection protocol to minimize the risk of Coronavirus disease 2019 transmission. In each category, the patients were classified into high-, intermediate-, and low-risk groups. Each risk group was managed differently. A survey of patient volume changes prior to and during the Coronavirus disease 2019 outbreak was performed. RESULTS: We carried out the anti-infection protocol at our cancer center during the Coronavirus disease 2019 outbreak. We found that the total volume of both outpatient visits and inpatient treatment declined significantly depending on the conditions of each group. Radiation therapy and palliative service had the lowest and highest volume reductions at 58.3% and 100%, respectively. The decline in outpatient volumes was higher than the decline in inpatient treatment services (78.8% vs 71.8%). There was no Coronavirus disease 2019 cross-infection at our center, or Coronavirus disease 2019-related injury or death. The anti-infection protocol measures continue to be taken at the hospital even today but they have been modified depending on the prevalent local conditions. CONCLUSIONS: Challenges from the Coronavirus disease 2019 pandemic remain in our community. The anti-infection protocol implemented at our cancer center has been effective in preventing cross-infection. Whether our anti-infection protocol experience can be applied to curb the spread of the infection in other parts of the world remains to be tested.
  • |Betacoronavirus/*pathogenicity[MESH]
  • |COVID-19[MESH]
  • |Cancer Care Facilities/*standards[MESH]
  • |Coronavirus Infections/complications/*prevention & control/*transmission/virology[MESH]
  • |Hospitals/*standards[MESH]
  • |Humans[MESH]
  • |Neoplasms/*therapy/virology[MESH]
  • |Pandemics/*prevention & control[MESH]
  • |Pneumonia, Viral/complications/*prevention & control/*transmission/virology[MESH]
  • |SARS-CoV-2[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box