Evidence map›Paper›PMID 32947052›Full record

SynthesisInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2020

Meta-analysis of coagulation parameters associated with disease severity and poor prognosis of COVID-19.

Aining Zhang, Yan Leng, Yi Zhang, Kefan Wu, Yelong Ji, Shaoqing Lei, Zhongyuan Xia

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 pooled it
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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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

7 authors.

Aining ZhangDepartment of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Yan LengDepartment of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Yi ZhangDepartment of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Kefan WuDepartment of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Yelong JiDepartment of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Shaoqing LeiDepartment of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Zhongyuan XiaDepartment of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China. Electronic address: xiazhongyuan2005@aliyun.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo determine whether abnormal coagulation parameters are associated with disease severity and poor prognosis in patients with 2019 Corona Virus Disease (COVID-19).

methodsA systematic literature search was conducted using the databases PubMed, Embase, and Web of sciences until April 25, 2020. We included a total of 15 studies with 2277 patients. Platelet count (PLT), prothrombin time (PT), activated partial thromboplastin time (APTT), D-dimer (D-D), and fibrinogen (FIB) were collected and analyzed. The statistical results were expressed as the effect measured by mean difference (MD) with the related 95% confidence interval (CI).

resultsThe PLT level of severe cases was lower than that of mild cases, while the levels of PT, D-D, and FIB were higher than those of mild cases (P < 0.05). The level of APTT had no statistical difference between two groups (P > 0.05). PT of ICU patients was significantly longer (P < 0.05) than that of non-ICU patients. In non-survivors, PT and D-D were higher, yet PLT was lower than that of survivors (P < 0.05). There was no significant difference in APTT between survivors and non-survivors (P > 0.05). The funnel plot and Egger's regression test demonstrated that there was no publication bias.

conclusionsOur data support the notion that coagulopathy could be considered as a risk factor for disease severity and mortality of COVID-19, which may help clinicians to identify the incidence of poor outcomes in COVID-19 patients.

Indexed as

BetacoronavirusBlood CoagulationCoronavirus InfectionsCOVID-19Cross-Sectional StudiesFemaleFibrin Fibrinogen Degradation ProductsHumansPandemicsPartial Thromboplastin TimePneumonia, ViralPrognosisProthrombin TimeSARS-CoV-2Severity of Illness IndexFibrin Fibrinogen Degradation Productsfibrin fragment DCoagulation parametersCoagulopathyCOVID-19LaboratoryPrognosis

Identifiers

PMID32947052
PMCPMC7490635

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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.