Evidence map›Paper›PMID 32706426›Full record

SynthesisJournal of medical virology2021

COVID-19 and coagulation dysfunction in adults: A systematic review and meta-analysis.

Jing Lin, Han Yan, Hanchuan Chen, Chen He, Chunjin Lin, Haoming He, Sicheng Zhang, Songjing Shi, Kaiyang Lin

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 7% 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

56 citing papers in PubMed, 2 syntheses or guidelines pooled it, 99 citations in OpenAlex.

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  20. The Association ofInternational journal of molecular sciences · 2022
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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

9 authors at 1 institution in 1 country.

Jing LinDepartment of Critical Care Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China.
Han YanDepartment of Cardiology, Fujian Provincial Hospital, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China.
Hanchuan ChenDepartment of Cardiology, Fujian Provincial Hospital, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China.
Chen HeDepartment of Cardiology, Fujian Provincial Hospital, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China.
Chunjin LinDepartment of Cardiology, Fujian Provincial Hospital, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China.
Haoming HeDepartment of Cardiology, Fujian Provincial Hospital, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China.
Sicheng ZhangDepartment of Cardiology, Fujian Provincial Hospital, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China.
Songjing ShiDepartment of Critical Care Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China.
Kaiyang LinDepartment of Cardiology, Fujian Provincial Hospital, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China.ORCID 0000-0003-1421-2728
Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of 2019 novel coronavirus disease (COVID-19) has posed a grave threat to the global public health. The COVID-19-induced infection is closely related to coagulation dysfunction in the affected patients. This paper attempts to conduct a meta-analysis and systematically review the blood coagulation indicators in patients with severe COVID-19. A meta-analysis of eligible studies was performed to compare the blood coagulation indicators in patients with severe and nonsevere COVID-19. PubMed, Embase, Web of Science, and the Cochrane Library were searched for studies published between 1 December 2019 and 7 May 2020. A total of 13 studies with 1341 adult patients were enrolled in this analysis. Platelet (weighted mean difference [WMD] = -24.83, 95% confidence interval [CI]: -34.12 to -15.54; P < .001), d-dimer (WMD = 0.19, 95% CI: 0.09-0.29; P < .001), and fibrinogen (WMD = 1.02, 95% CI: 0.50-1.54; P < .001) were significantly associated with the severity in patients with COVID-19. The meta-analysis revealed that no correlation was evident between an increased severity risk of COVID-19 and activated partial thromboplastin time (WMD = -1.56, 95% CI: -5.77 to 2.64; P = .468) or prothrombin time (WMD = 0.19, 95% CI: -0.13 to 0.51; P = .243). The single arm meta-analysis showed that compared with the nonsevere group, the severe group had a lower pooled platelet (165.12 [95% CI: 157.38-172.85] vs 190.09 [95% CI: 179.45-200.74]), higher d-dimer (0.49 [95% CI: 0.33-0.64] vs 0.27 [95% CI: 0.20-0.34]), and higher fibrinogen (4.34 [95% CI: 1.98-6.70] vs 3.19 [95% CI: 1.13-5.24]). Coagulation dysfunction is closely related to the severity of patients with COVID-19, in which low platelet, high d-dimer, and fibrinogen upon admission may serve as risk indicators for increased aggression of the disease. These findings are of great clinical value for timely and effective treatment of the COVID-19 cases.

Indexed as

Blood Coagulation DisordersBlood PlateletsCOVID-19Fibrin Fibrinogen Degradation ProductsFibrinogenHospitalizationHumansPartial Thromboplastin TimePrognosisRisk FactorsSeverity of Illness IndexFibrin Fibrinogen Degradation Productsfibrin fragment DFibrinogen2019 novel coronavirus diseasecoagulationmeta-analysisseverity

Identifiers

PMID32706426
PMCPMC7405098
OpenAlexW3044231876

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.