Evidence map›Paper›PMID 32658868›Full record

SynthesisAging2020

Epidemiological, comorbidity factors with severity and prognosis of COVID-19: a systematic review and meta-analysis.

Xiaoyu Fang, Shen Li, Hao Yu, Penghao Wang, Yao Zhang, Zheng Chen, Yang Li, Liqing Cheng, Wenbin Li, Hong Jia and 1 more

Abstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 258 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
258citing papers in PubMed, 14 pooled it
–field-weighted citation impact
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

258 citing papers in PubMed, 14 syntheses or guidelines pooled it.

  1. Globally approved vaccines for COVID-19: a systematic review.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
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  5. Recent Advance Analysis of Recovery in Hospitalized People with COVID-19: A Systematic Review.International journal of environmental research and public health · 2022
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  11. Associations between Serum Interleukins (IL-1BioMed research international · 2022
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  13. Incidence and Outcomes of COVID-19 in People With CKD: A Systematic Review and Meta-analysis.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2021
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198 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

11 authors.

Xiaoyu FangCollege of Public Health, Southwest Medical University, Luzhou, Sichuan Province, China.
Shen LiThe Second Clinical College, Chongqing Medical University, Chongqing, China.
Hao YuDepartment of Endocrinology, Northern Theater Command General Hospital, Shenyang, China.
Penghao WangThe Second Clinical College, Chongqing Medical University, Chongqing, China.
Yao ZhangDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University, Chongqing, China.
Zheng ChenDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University, Chongqing, China.
Yang LiNCO School of Army Medical University, Shijiazhuang, China.
Liqing ChengDepartment of Endocrinology and Metabolism, Southwest Hospital, Third Military Medical University, Chongqing, China.
Wenbin LiOutpatient Clinic of Dali Retreat Center for Former Cadres of Yunnan Military Region, Dali, China.
Hong JiaCollege of Public Health, Southwest Medical University, Luzhou, Sichuan Province, China.
Xiangyu MaDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A systematic review and meta-analysis was conducted in an attempt to systematically collect and evaluate the associations of epidemiological, comorbidity factors with the severity and prognosis of coronavirus disease 2019 (COVID-19). The systematic review and meta-analysis was conducted according to the guidelines proposed by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Sixty nine publications met our study criteria, and 61 studies with more than 10,000 COVID-19 cases were eligible for the quantitative synthesis. We found that the males had significantly higher disease severity (RR: 1.20, 95% CI: 1.13-1.27, P <0.001) and more prognostic endpoints. Older age was found to be significantly associated with the disease severity and six prognostic endpoints. Chronic kidney disease contributed mostly for death (RR: 7.10, 95% CI: 3.14-16.02), chronic obstructive pulmonary disease (COPD) for disease severity (RR: 4.20, 95% CI: 2.82-6.25), admission to intensive care unit (ICU) (RR: 5.61, 95% CI: 2.68-11.76), the composite endpoint (RR: 8.52, 95% CI: 4.36-16.65,), invasive ventilation (RR: 6.53, 95% CI: 2.70-15.84), and disease progression (RR: 7.48, 95% CI: 1.60-35.05), cerebrovascular disease for acute respiratory distress syndrome (ARDS) (RR: 3.15, 95% CI: 1.23-8.04), coronary heart disease for cardiac abnormality (RR: 5.37, 95% CI: 1.74-16.54). Our study highlighted that the male gender, older age and comorbidities owned strong epidemiological evidence of associations with the severity and prognosis of COVID-19.

Indexed as

AdultAgedAged, 80 and overAge FactorsBetacoronavirusComorbidityCoronavirus InfectionsCOVID-19FemaleHumansMaleMiddle AgedPandemicsPneumonia, ViralPrognosisRisk Factors2019-nCoVCOVID-19meta-analysisSARS-Cov-2

Identifiers

PMID32658868
PMCPMC7377860

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.