Evidence map›Paper›PMID 32316065›Full record

ReviewThrombosis and haemostasis2020

Prevention and Treatment of Venous Thromboembolism Associated with Coronavirus Disease 2019 Infection: A Consensus Statement before Guidelines.

Zhenguo Zhai, Chenghong Li, Yaolong Chen, Grigorios Gerotziafas, Zhenlu Zhang, Jun Wan, Peng Liu, Ismaïl Elalamy, Chen Wang, Prevention Treatment of VTE Associated with COVID-19 Infection Consensus Statement Group

Abstract readReviewConsensus Statement
In one paragraph

Review in Thrombosis and haemostasis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 193 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
193citing papers in PubMed, 14 pooled it
–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

193 citing papers in PubMed, 14 syntheses or guidelines pooled it.

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  5. Prevention and treatment of COVID-19-associated hypercoagulability: Recommendations of the Algerian society of transfusion and hemobiology.Transfusion clinique et biologique : journal de la Societe francaise de transfusion sanguine · 2020
    Guideline
  6. Meta-analysis of coagulation parameters associated with disease severity and poor prognosis of COVID-19.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020
    Pooled it
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  9. Guideline
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  15. Review
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  18. La Tunisie medicale · 2025
    Observational
  19. Review
  20. Article

133 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

10 authors.

Zhenguo Zhai *Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
Chenghong Li *Department of Pulmonary and Critical Care Medicine, Affiliated Hospital of Jianghan University, Wuhan, China.
Yaolong Chen *Evidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Grigorios GerotziafasHematology and Thrombosis Center, Tenon University Hospital, INSERM UMRS 938, Sorbonne University, Paris, France.
Zhenlu ZhangDepartment of Clinical Laboratory, Wuhan Asia Heart Hospital, Wuhan, China.
Jun WanDepartment of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
Peng LiuDepartment of Cardiovascular Surgery, China-Japan Friendship Hospital, Beijing, China.
Ismaïl ElalamyHematology and Thrombosis Center, Tenon University Hospital, INSERM UMRS 938, Sorbonne University, Paris, France.
Chen WangDepartment of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
Prevention Treatment of VTE Associated with COVID-19 Infection Consensus Statement Group

Funding

2016YFC0901104 National Key Research and Development Program of China2016YFC0905600 National Key Research and Development Program of China2018-I2M-1-003 CAMS Innovation Fund for Medical Sciences2020-KYGG-01-05 Chinese Academy of Engineering emergency research and cultivation project for COVID-1981570049 National Natural Science Foundation of China81970058 National Natural Science Foundation of China
6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) has caused a global pandemic in just a few months, causing millions infected. Nearly 20% of COVID-19 patients present severe coagulation abnormalities, which may occur in almost all of the severe and critical ill COVID-19 cases. Concomitant venous thromboembolism (VTE), a potential cause of unexplained deaths, has been frequently reported in COVID-19 cases, but its management is still challenging due to the complexity between antithrombotic therapy and coagulation disorders. Based on frontline practical experience and comprehensive literature review, here a panel of experts and physicians from China and Europe developed an evidence and opinion-based consensus on the prophylaxis and management of VTE associated with COVID-19. This statement aims for clinicians treating COVID-19 and provides practical recommendations in detailed situations, for example, how to choose thromboprophylactic measures for patients with diverse severity of disease and bleeding risk, or which kind of anticoagulant should be prescribed. With limited experience on COVID19-associated VTE, this expert consensus statement should be helpful for clinicians worldwide with specific suggestions.

Indexed as

AnticoagulantsBetacoronavirusBlood Coagulation DisordersChinaConsensusCoronavirus InfectionsCOVID-19Critical IllnessEuropeFibrin Fibrinogen Degradation ProductsHemorrhageHumansPandemicsPneumonia, ViralPulmonary EmbolismRegistriesAnticoagulantsFibrin Fibrinogen Degradation Productsfibrin fragment D

Identifiers

PMID32316065
PMCPMC7295267

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.