Evidence map›Paper›PMID 34043784›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2022

Risk Factors for Death Among the First 80 543 Coronavirus Disease 2019 (COVID-19) Cases in China: Relationships Between Age, Underlying Disease, Case Severity, and Region.

Yanping Zhang, Wei Luo, Qun Li, Xijie Wang, Jin Chen, Qinfeng Song, Hong Tu, Ruiqi Ren, Chao Li, Dan Li and 23 more

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  3. Observational
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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

33 authors.

Yanping ZhangChinese Center for Disease Control and Prevention, Beijing, China.
Wei LuoChinese Center for Disease Control and Prevention, Beijing, China.
Qun LiChinese Center for Disease Control and Prevention, Beijing, China.
Xijie WangPeking University, Beijing, China.
Jin ChenChinese Center for Disease Control and Prevention, Beijing, China.
Qinfeng SongPeking University, Beijing, China.
Hong TuChinese Center for Disease Control and Prevention, Beijing, China.
Ruiqi RenChinese Center for Disease Control and Prevention, Beijing, China.
Chao LiChinese Center for Disease Control and Prevention, Beijing, China.
Dan LiChinese Center for Disease Control and Prevention, Beijing, China.
Jing ZhaoChinese Center for Disease Control and Prevention, Beijing, China.
Jennifer M McGooganChinese Center for Disease Control and Prevention, Beijing, China.
Duo ShanChinese Center for Disease Control and Prevention, Beijing, China.
Bing LiChinese Center for Disease Control and Prevention, Beijing, China.
Jingxue ZhangPeking University, Beijing, China.
Yanhui DongPeking University, Beijing, China.
Yu JinPeking University, Beijing, China.
Shuai MaoPeking University, Beijing, China.
Menbao QianChinese Center for Disease Control and Prevention, Beijing, China.
Chao LvChinese Center for Disease Control and Prevention, Beijing, China.
Huihui ZhuChinese Center for Disease Control and Prevention, Beijing, China.
Limin WangChinese Center for Disease Control and Prevention, Beijing, China.
Lin XiaoChinese Center for Disease Control and Prevention, Beijing, China.
Juan XuChinese Center for Disease Control and Prevention, Beijing, China.
Dapeng YinChinese Center for Disease Control and Prevention, Beijing, China.
Lei ZhouChinese Center for Disease Control and Prevention, Beijing, China.
Zhongjie LiChinese Center for Disease Control and Prevention, Beijing, China.
Guoqing ShiChinese Center for Disease Control and Prevention, Beijing, China.
Xiaoping DongChinese Center for Disease Control and Prevention, Beijing, China.
Xuhua GuanHubei Center for Disease Control and Prevention, Wuhan, China.
George F GaoChinese Center for Disease Control and Prevention, Beijing, China.
Zunyou WuChinese Center for Disease Control and Prevention, Beijing, China.
Zijian FengChinese Center for Disease Control and Prevention, Beijing, China.

Funding

Ministry of Science and Technology of the People's Republic of China 2020YFC0846300
6 · The paper itself

Abstract

backgroundKnowledge of COVID-19 epidemiology remains incomplete and crucial questions persist. We aimed to examine risk factors for COVID-19 death.

methodsA total of 80 543 COVID-19 cases reported in China, nationwide, through 8 April 2020 were included. Risk factors for death were investigated by Cox proportional hazards regression and stratified analyses.

resultsOverall national case-fatality ratio (CFR) was 5.64%. Risk factors for death were older age (≥80: adjusted hazard ratio, 12.58; 95% confidence interval, 6.78-23.33), presence of underlying disease (1.33; 1.19-1.49), worse case severity (severe: 3.86; 3.15-4.73; critical: 11.34; 9.22-13.95), and near-epicenter region (Hubei: 2.64; 2.11-3.30; Wuhan: 6.35; 5.04-8.00). CFR increased from 0.35% (30-39 years) to 18.21% (≥70 years) without underlying disease. Regardless of age, CFR increased from 2.50% for no underlying disease to 7.72% for 1, 13.99% for 2, and 21.99% for ≥3 underlying diseases. CFR increased with worse case severity from 2.80% (mild) to 12.51% (severe) and 48.60% (critical), regardless of region. Compared with other regions, CFR was much higher in Wuhan regardless of case severity (mild: 3.83% vs 0.14% in Hubei and 0.03% elsewhere; moderate: 4.60% vs 0.21% and 0.06%; severe: 15.92% vs 5.84% and 1.86%; and critical: 58.57% vs 49.80% and 18.39%).

conclusionsOlder patients regardless of underlying disease and patients with underlying disease regardless of age were at elevated risk of death. Higher death rates near the outbreak epicenter and during the surge of cases reflect the deleterious effects of allowing health systems to become overwhelmed.

Indexed as

COVID-19ChinaDisease OutbreaksHumansProportional Hazards ModelsRisk FactorsSARS-CoV-2case-fatality ratioChinaCOVID-19risk factorsSARS-CoV-2

Identifiers

PMID34043784
PMCPMC8244662

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.