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


10.47102/annals-acadmedsg.2020299

http://scihub22266oqcxt.onion/10.47102/annals-acadmedsg.2020299
suck pdf from google scholar
33463658!ä!33463658

Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33463658&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


Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
pmid33463658      Ann+Acad+Med+Singap 2020 ; 49 (12): 996-1008
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Obesity in COVID-19: A Systematic Review and Meta-analysis #MMPMID33463658
  • Ho JSY; Fernando DI; Chan MY; Sia CH
  • Ann Acad Med Singap 2020[Dec]; 49 (12): 996-1008 PMID33463658show ga
  • OBJECTIVE: Obesity has been shown to be associated with adverse outcomes in viral infections such as influenza, but previous studies on coronavirus disease 2019 (COVID-19) had mixed results. The aim of this systematic review is to investigate the relationship between COVID-19 and obesity. METHODS: We performed a systematic review and meta-analysis. A literature search of MEDLINE, EMBASE, Scopus, Web of Science, CENTRAL, OpenGrey and preprint servers medRxiv and bioRxiv was performed, with no restriction on language or date of publication. Primary outcomes of this study were intensive care unit (ICU) admission or critical disease, severe disease and mortality. Secondary outcome was a positive COVID-19 test. Meta-analysis was performed using OpenMeta-Analyst software, and heterogeneity was tested using Cochran's Q test and I2 statistic. The study protocol was registered on PROSPERO (CRD42020184953). RESULTS: A total of 1,493 articles were identified and 61 studies on 270,241 patients were included. The pooled prevalence of obesity was 27.6% (95% confidence interval [CI] 22.0-33.2) in hospitalised patients. Obesity was not significantly associated with increased ICU admission or critical illness (odds ratio [OR] 1.25, 95% CI 0.99-1.58, P=0.062, I(2) =31.0) but was significantly associated with more severe disease (OR 3.13, 95% CI 1.41-6.92, P=0.005, I(2) =82.6), mortality (OR 1.36, 95% CI 1.09-1.69, P=0.006, I(2)=88.5) and a positive COVID-19 test (OR 1.50, 95% CI 1.25-1.81, P<0.001). CONCLUSION: Obesity increased the risk of severe disease, mortality and infection with COVID-19. Higher body mass index was associated with ICU admission and critical disease. Patients who are obese may be more susceptible to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, and infected patients should be monitored closely for adverse outcomes.
  • |Body Mass Index[MESH]
  • |COVID-19/diagnosis/*etiology/mortality/therapy[MESH]
  • |Critical Care[MESH]
  • |Critical Illness[MESH]
  • |Global Health[MESH]
  • |Hospitalization[MESH]
  • |Humans[MESH]
  • |Obesity/*complications[MESH]
  • |Prognosis[MESH]
  • |Risk Factors[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box