Evidence map›Paper›PMID 33941096›Full record

ArticleBMC infectious diseases2021

Epidemiological and clinical characteristics of imported cases of COVID-19: a multicenter study.

Jinjun Zhang, Shixiong Yang, Yi Xu, Xinyan Qin, Jialiang Liu, Jinjun Guo, Sijia Tian, Shaoping Wang, Kai Liao, Ying Zhang and 2 more

Abstract readMulticenter Study
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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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

12 authors.

Jinjun Zhang *School of Medicine, Shandong University, Jinan, Shandong, 250012, China. zhang92560@163.com.ORCID http://orcid.org/0000-0001-8185-2173
Shixiong Yang *Nanning Emergency Medical Center, Nanning, Guangxi, 530022, China.
Yi Xu *Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, 630014, China.
Xinyan Qin *Uninted Family Healthcare, Beijing, 100015, China.
Jialiang LiuJinan Emergency Medical Center, Jinan, Shandong, 250021, China.
Jinjun GuoChongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, 630014, China.
Sijia TianBeijing Emergency Medical Center, Beijing, 100031, China.
Shaoping WangJinan Emergency Medical Center, Jinan, Shandong, 250021, China.
Kai LiaoNanning Emergency Medical Center, Nanning, Guangxi, 530022, China.
Ying ZhangChongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, 630014, China.
Yu MaChongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, 630014, China. yr7964@sina.com.
Yuguo ChenEmergency Department, Qilu Hospital, Shandong University, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Jinan, Shandong, 250012, China. chen919085@126.com.

Funding

Beijing Science and Technology Planning Project Z191100004419003Chongqing Science and Technology Commission CSTC2020JSCX-FYZX0045National Major Science and Technology Projects of China 2018FY100600Shandong Provincial Key Laboratory of Software Engineering 2020SFXGFY03
6 · The paper itself

Abstract

backgroundThe coronavirus disease 2019 (COVID-19) pandemic continues to expand. Herein, we report the epidemiological and clinical features of 478 patients with confirmed COVID-19 from a multicenter study conducted in four cities in China excluding Wuhan.

methodsA total of 478 patients transferred by emergency medical services to designated hospitals in four major cities in China (Beijing, Chongqing, Jinan, and Nanning) were enrolled. We compared the characteristics of imported and indigenous cases and calculated the frequencies of fatal, severe, mild, and asymptomatic disease. The results were used to generate a pyramid of COVID-19 severity.

resultsThe mean age of patients with COVID-19 was 46.9 years and 49.8% were male. The most common symptoms at onset were fever (69.7%), cough (47.5%), fatigue (24.5%), dyspnea (8.4%), and headache (7.9%). Most cases (313, 65.5%) were indigenous, while 165 (34.5%) were imported. Imported cases dominated during the early stages of the pandemic, but decreased from 1 February 2020 as indigenous cases rose sharply. Compared with indigenous cases, imported cases differed significantly in terms of sex (P = 0.002), severity of disease (P = 0.006), occurrence of fever (P < 0.001), family clustering (P < 0.001), history of contact (P < 0.001), and primary outcome (P < 0.001).

conclusionsWithin the population studied, imported cases had distinct characteristics from those of indigenous cases, with lower fatality rates and higher discharge rates. New infections shifted from imported cases to local infection gradually, and overall infections have declined to a low level. We suggest that preventing import of cases and controlling spread within local areas can help prevent SARS-CoV-2 infection spread.

Indexed as

AdolescentAdultAgedBeijingChinaCoughCOVID-19FatigueFemaleFeverHumansMaleMiddle AgedPatient DischargeTime FactorsTreatment OutcomeClinical feature; imported caseCOVID-19Epidemiological characteristics

Identifiers

PMID33941096
PMCPMC8090926

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LicenceCC BY
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Registered trials

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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.