Evidence map›Paper›PMID 33631519›Full record

SynthesisThrombosis research2021

Incidence and impact of disseminated intravascular coagulation in COVID-19 a systematic review and meta-analysis.

Xianghui Zhou, Zhipeng Cheng, Lili Luo, Ying Zhu, Wenyi Lin, Zhangyin Ming, Wei Chen, Yu Hu

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Thrombosis research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

34 citing papers in PubMed, 57 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Xianghui ZhouDepartment of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Collaborative Innovation Center of Hematology, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China.
Zhipeng ChengDepartment of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Collaborative Innovation Center of Hematology, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China.
Lili LuoDepartment of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Collaborative Innovation Center of Hematology, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China.
Ying ZhuDepartment of Pharmacology, School of Basic Medicine, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430022, China.
Wenyi LinDepartment of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Collaborative Innovation Center of Hematology, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China.
Zhangyin MingDepartment of Pharmacology, School of Basic Medicine, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430022, China; Tongji-Rongcheng Center for Biomedicine, Huazhong University of Science and Technology, Wuhan 430022, China.
Wei ChenLaboratory of Vaccine and Antibody Engineering, Beijing Institute of Biotechnology, Beijing 100071, China. Electronic address: cw0226@foxmail.com.
Yu HuDepartment of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Collaborative Innovation Center of Hematology, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China; Hubei Clinical Medical Center of Cell Therapy for Neoplastic Disease, Wuhan, Hubei 430022, China. Electronic address: dr_huyu@126.com.
Huazhong University of Science and Technology · CNUnion Hospital · CNHubei Cancer Hospital · CNNational Vaccine and Serum Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCoronavirus disease 2019 (COVID-19) is a novel infectious disease, with significant morbidity and mortality. This meta-analysis is to evaluate the prevalence of disseminated intravascular coagulation (DIC) in COVID-19 patients and to determine the association of DIC with the severity and prognosis of COVID-19.

methodsWe searched the PubMed, EMBASE, and China National Knowledge Infrastructure (CNKI) database until August 12, 2020. The meta-analysis was performed using Stata 16.0 software.

results14 studies were included in our meta-analysis. The pooled analysis revealed that the incidence of COVID-19 patients developing DIC was 3% (95%: 1%-5%, P < 0.001). In addition, deaths were more likely to be associated with DIC (Log OR = 2.46, 95% CI: 0.94-3.99, P < 0.001) with statistical significance.

conclusionsDIC is associated with the severity and poor prognosis of COVID-19 patients. Therefore, attention should be paid to coagulation dysfunction in COVID-19 patients. Monitoring of coagulation indicators may improve the prognosis of COVID-19 inpatients.

Indexed as

COVID-19Disseminated Intravascular CoagulationChinaHumansIncidenceSARS-CoV-2Coronavirus disease 2019 (COVID-19)Disseminated intravascular coagulationSARS-CoV-2

Identifiers

PMID33631519
PMCPMC7886625
OpenAlexW3133100314

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.