Evidence map›Paper›PMID 32782035›Full record

SynthesisEpidemiology and infection2020

Risk factors of severe cases with COVID-19: a meta-analysis.

Mingchun Ou, Jieyun Zhu, Pan Ji, Hongyuan Li, Zhimei Zhong, Bocheng Li, Jielong Pang, Jianfeng Zhang, Xiaowen Zheng

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Epidemiology and infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 3 pooled it
3.0field-weighted citation impact, top 5% 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

75 citing papers in PubMed, 3 syntheses or guidelines pooled it, 147 citations in OpenAlex.

  1. Pooled it
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  4. The Impact of COVID-19 Infection and Vaccination on Myocarditis Incidence: A Comparative Analysis of Pre-, Peri-, and Post-Pandemic Eras.Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions · 2026
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  15. Modulatory Roles ofViruses · 2024
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15 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

9 authors at 2 institutions in 1 country.

Mingchun OuDepartment of Pharmacy, People's Hospital of Baise, Baise533000, People's Republic China.
Jieyun ZhuDepartment of Emergency, The Second Affiliated Hospital of Guangxi Medical University, Nanning530007, People's Republic China.ORCID 0000-0001-7718-9591
Pan JiDepartment of Emergency, The Second Affiliated Hospital of Guangxi Medical University, Nanning530007, People's Republic China.
Hongyuan LiDepartment of Emergency, The Second Affiliated Hospital of Guangxi Medical University, Nanning530007, People's Republic China.
Zhimei ZhongDepartment of Emergency, The Second Affiliated Hospital of Guangxi Medical University, Nanning530007, People's Republic China.
Bocheng LiDepartment of Emergency, The Second Affiliated Hospital of Guangxi Medical University, Nanning530007, People's Republic China.
Jielong PangDepartment of Emergency, The Second Affiliated Hospital of Guangxi Medical University, Nanning530007, People's Republic China.
Jianfeng ZhangDepartment of Emergency, The Second Affiliated Hospital of Guangxi Medical University, Nanning530007, People's Republic China.
Xiaowen ZhengDepartment of Emergency, The Second Affiliated Hospital of Guangxi Medical University, Nanning530007, People's Republic China.
Guangxi Medical University · CNBaise University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our study aimed to systematically analyse the risk factors of coronavirus disease 2019 (COVID-19) patients with severe disease. An electronic search in eight databases to identify studies describing severe or critically ill COVID-19 patients from 1 January 2020 to 3 April 2020. In the end, we meta-analysed 40 studies involving 5872 COVID-19 patients. The average age was higher in severe COVID-19 patients (weighted mean difference; WMD = 10.69, 95%CI 7.83-13.54). Patients with severe disease showed significantly lower platelet count (WMD = -18.63, 95%CI -30.86 to -6.40) and lymphocyte count (WMD = -0.35, 95%CI -0.41 to -0.30) but higher C-reactive protein (CRP; WMD = 42.7, 95%CI 31.12-54.28), lactate dehydrogenase (LDH; WMD = 137.4, 95%CI 105.5-169.3), white blood cell count(WBC), procalcitonin(PCT), D-dimer, alanine aminotransferase (ALT), aspartate aminotransferase (AST) and creatinine(Cr). Similarly, patients who died showed significantly higher WBC, D-dimer, ALT, AST and Cr but similar platelet count and LDH as patients who survived. These results indicate that older age, low platelet count, lymphopenia, elevated levels of LDH, ALT, AST, PCT, Cr and D-dimer are associated with severity of COVID-19 and thus could be used as early identification or even prediction of disease progression.

Indexed as

Age FactorsAlanine TransaminaseAspartate AminotransferasesBetacoronavirusCoronavirus InfectionsCOVID-19C-Reactive ProteinCreatinineCritical IllnessFibrin Fibrinogen Degradation ProductsHumansLeukocyte CountL-Lactate DehydrogenaseLymphocyte CountLymphopeniaPandemicsAlanine TransaminaseAspartate AminotransferasesC-Reactive ProteinCreatinineFibrin Fibrinogen Degradation Productsfibrin fragment DL-Lactate DehydrogenaseProcalcitoninCoronavirus disease 2019critically illmeta-analysisrisk factorssevere disease

Identifiers

PMID32782035
PMCPMC7438625
OpenAlexW3048915920

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.