Evidence map›Paper›PMID 32603481›Full record

SynthesisJournal of medical virology2021

Obesity aggravates COVID-19: A systematic review and meta-analysis.

Jun Yang, Jiahui Hu, Chunyan Zhu

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 181 papers, 16 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
181citing papers in PubMed, 16 pooled it
9.2field-weighted citation impact, top 2% 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

181 citing papers in PubMed, 16 syntheses or guidelines pooled it, 413 citations in OpenAlex.

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  11. Metabolic associated fatty liver disease increases the severity of COVID-19: A meta-analysis.Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver · 2021
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121 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 1 country.

Jun YangInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.ORCID 0000-0003-2844-8336
Jiahui HuSchool of Preclinical Medicine, Beijing University of Chinese Medicine, Beijing, China.
Chunyan ZhuInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNBeijing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity and COVID-19 are both worldwide epidemics now. There may be some potential relationships between them, but little is known. This study was done to explore this relationship through literature search, systematic review, and meta-analysis. Pubmed, Embase, WOS, Cochrane, CNKI, Wanfang, and Sinomed databases were searched to collect literature concerning obesity and COVID-19. Systematic review and meta-analysis were conducted after literature screening, quality assessment, and data extraction. A total of 180 articles were initially searched after duplicate removal, and 9 were finally included in our analysis. Results show that severe COVID-19 patients have a higher body mass index than non-severe ones (WMD = 2.67; 95% CI, 1.52-3.82); COVID-19 patients with obesity were more severely affected and have a worse outcome than those without (OR = 2.31; 95% CI, 1.3-4.12). Obesity may aggravate COVID-19.

Indexed as

Body Mass IndexCOVID-19HumansObesityRisk FactorsSeverity of Illness IndexCOVID-19meta-analysisobesityrisk factorsystematic review

Identifiers

PMID32603481
PMCPMC7361606
OpenAlexW3039730521

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.