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


10.1177/1758835920956803

http://scihub22266oqcxt.onion/10.1177/1758835920956803
suck pdf from google scholar
32968429!7493246!32968429
unlimited free pdf from europmc32968429    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=32968429&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

pmid32968429      Ther+Adv+Med+Oncol 2020 ; 12 (?): 1758835920956803
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Outcomes of the 2019 novel coronavirus in patients with or without a history of cancer: a multi-centre North London experience #MMPMID32968429
  • Joharatnam-Hogan N; Hochhauser D; Shiu KK; Rush H; Crolley V; Wilson W; Sharma A; Muhammad A; Anwar M; Vasdev N; Goldstein R; Kantser G; Saha A; Raja F; Bridgewater J; Khan K
  • Ther Adv Med Oncol 2020[]; 12 (?): 1758835920956803 PMID32968429show ga
  • BACKGROUND: This study aims to compare the outcomes of COVID-19-positive disease in patients with a history of cancer to those without. METHODS: We retrospectively collected clinical data and outcomes of COVID-19 positive cancer patients treated consecutively in five North London hospitals (cohort A). Outcomes recorded included time interval between most recent anti-cancer treatment and admission, severe outcome [a composite endpoint of intensive care unit (ITU) admission, ventilation and/or death] and mortality. Outcomes were compared with consecutively admitted COVID-19 positive patients, without a history of cancer (cohort B), treated at the primary centre during the same time period (1 March-30 April 2020). Patients were matched for age, gender and comorbidity. RESULTS: The median age in both cohorts was 74 years, with 67% male, and comprised of 30 patients with cancer, and 90 without (1:3 ratio). For cohort B, 579 patients without a history of cancer and consecutively admitted were screened from the primary London hospital, 105 were COVID-19 positive and 90 were matched and included. Excluding cancer, both cohorts had a median of two comorbidities. The odds ratio (OR) for mortality, comparing patients with cancer to those without, was 1.05 [95% confidence interval (CI) 0.4-2.5], and severe outcome (OR 0.89, 95% CI 0.4-2.0) suggesting no increased risk of death or a severe outcome in patients with cancer. Cancer patients who received systemic treatment within 28 days had an OR for mortality of 4.05 (95% CI 0.68-23.95), p = 0.12. On presentation anaemia, hypokalaemia, hypoalbuminaemia and hypoproteinaemia were identified predominantly in cohort A. Median duration of admission was 8 days for cancer patients and 7 days for non-cancer. CONCLUSION: A diagnosis of cancer does not appear to increase the risk of death or a severe outcome in COVID-19 patients with cancer compared with those without cancer. If a second spike of virus strikes, rational decision making is required to ensure optimal cancer care.
  • ?


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box