Evidence map›Paper›PMID 32734576›Full record

SynthesisAging clinical and experimental research2020

Clinical characteristics, laboratory outcome characteristics, comorbidities, and complications of related COVID-19 deceased: a systematic review and meta-analysis.

Peishan Qiu, Yunjiao Zhou, Fan Wang, Haizhou Wang, Meng Zhang, Xingfei Pan, Qiu Zhao, Jing Liu

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Aging clinical and experimental research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 8 pooled it
3.1field-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

65 citing papers in PubMed, 8 syntheses or guidelines pooled it, 139 citations in OpenAlex.

  1. Prognostic Performance of Cystatin C in COVID-19: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2022
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  6. COVID-19 in People Living with HIV: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2021
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5 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

8 authors at 2 institutions in 1 country.

Peishan Qiu *Department of Gastroenterology, Zhongnan Hospital of Wuhan University, No. 169, Donghu Road, Wuchang District, Wuhan, 430071, Hubei Province, China.
Yunjiao Zhou *Department of Gastroenterology, Zhongnan Hospital of Wuhan University, No. 169, Donghu Road, Wuchang District, Wuhan, 430071, Hubei Province, China.
Fan Wang *Department of Gastroenterology, Zhongnan Hospital of Wuhan University, No. 169, Donghu Road, Wuchang District, Wuhan, 430071, Hubei Province, China.
Haizhou WangDepartment of Gastroenterology, Zhongnan Hospital of Wuhan University, No. 169, Donghu Road, Wuchang District, Wuhan, 430071, Hubei Province, China.
Meng ZhangDepartment of Gastroenterology, Zhongnan Hospital of Wuhan University, No. 169, Donghu Road, Wuchang District, Wuhan, 430071, Hubei Province, China.
Xingfei PanDepartment of Infectious Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510145, China. panxf0125@163.com.
Qiu ZhaoDepartment of Gastroenterology, Zhongnan Hospital of Wuhan University, No. 169, Donghu Road, Wuchang District, Wuhan, 430071, Hubei Province, China. qiuzhao@whu.edu.cn.
Jing LiuDepartment of Gastroenterology, Zhongnan Hospital of Wuhan University, No. 169, Donghu Road, Wuchang District, Wuhan, 430071, Hubei Province, China. liujing_GI@whu.edu.cn.ORCID http://orcid.org/0000-0002-0958-5506
Wuhan University · CNThird Affiliated Hospital of Guangzhou Medical University · CN

Funding

Clinical Research Project of Guangzhou Medical University No. 2017[160]Guangdong Science and Technology Department No. 2016ZC0143National Basic Research Program of China (973 Program) 2015CB932600National Natural Science Foundation of China 81401306National Natural Science Foundation of China 81472735Wuhan University 2042019kf0206
6 · The paper itself

Abstract

backgroundAt present, novel coronavirus disease 2019 (COVID-19) has become a serious global public health problem. The current meta-analysis aimed to find risk factors for the COVID-19-related death, helping to enhance the efficacy and reduce the mortality of COVID-19.

methodsWe searched PubMed, Embase, medRxiv, and Cochrane Library for articles published between January 1, 2020, and April 13, 2020. We statistically analyzed the risk factors of the COVID-19 deceased with meta-analysis.

resultsA total of 2401 patients in 15 articles were included in this study. Meta-analysis showed that 66.6% of COVID-19 deceased were male, with a median age of 69.9 years. Common symptoms of deceased included fever (70.6-100%), dyspnea (38.89-85.7%), cough (22.4-78%), and fatigue (22-61.9%). The incidence of hypertension, chronic cardiovascular disease, diabetes, and chronic cerebrovascular disease among the COVID-19 deceased were 38.56% (95% confidence interval (CI) 25.84 ~ 52.12%), 17.54% (95% CI 13.38 ~ 21.69%), 22.2% (95% CI 19.30 ~ 25.10%), and 15.58% (95% CI 10.05 ~ 21.12%), respectively. Compared with the surviving COVID-19 patients, the deceased had lower platelet levels (mean difference (MD) = - 39.35, 95% CI - 55.78 ~ - 22.93) and higher C-reactive protein (CRP) (MD = 80.85, 95% CI 62.53 ~ 99.18) and lactate dehydrogenase (LDH) (MD = 246.65, 95% CI 157.43 ~ 335.88) at admission. The most common complications of the deceased were acute respiratory distress syndrome (ARDS) (OR = 100.36, 95% CI 64.44 ~ 156.32) and shock (OR = 96.60, 95% CI 23.80 ~ 392.14).

conclusionMost of the COVID-19 deceased were elderly males. Fever, dyspnea, dry cough, fatigue, hypertension, chronic cardiovascular and cerebrovascular disease, diabetes, and laboratory examinations showed low levels of platelet content, increased CRP and LDH were associated with the risk of dying. ARDS and shock were risk factors for death in COVID-19 patients.

Indexed as

Coronavirus InfectionsPandemicsPneumonia, ViralAgedBetacoronavirusCardiovascular DiseasesCause of DeathComorbidityCOVID-19Diabetes MellitusFemaleHumansIncidenceMaleMortalityRisk FactorsCOVID-19DeathMeta-analysisSevere acute respiratory syndrome coronavirus 2

Identifiers

PMID32734576
PMCPMC7391922
OpenAlexW3045775882

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.