Evidence map›Paper›PMID 33119703›Full record

ArticlePloS one2020

The values of coagulation function in COVID-19 patients.

Xin Jin, Yongwei Duan, Tengfei Bao, Junjuan Gu, Yawen Chen, Yuanyuan Li, Shi Mao, Yongfeng Chen, Wen Xie

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
1.9field-weighted citation impact, top 8% 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

48 citing papers in PubMed, 95 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Performance Verification of High Sensitivity Analyzer for TAT, PIC, TM, and t-PAIC.TH open : companion journal to thrombosis and haemostasis · 2025
    Article
  5. Observational
  6. Review
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  12. Fibrinolytic system and COVID-19: From an innovative view of epithelial ion transport.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2023
    Review
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  14. Article
  15. Article
  16. Article
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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 3 institutions in 1 country.

Xin JinDepartment of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Yongwei DuanDepartment of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Tengfei BaoDepartment of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Junjuan GuDepartment of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Yawen ChenDepartment of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Yuanyuan LiDepartment of Laboratory Medicine, Wuhan Hospital of Traditional Chinese Medicine, Hubei, China.
Shi MaoDepartment of Laboratory Medicine, Wuhan Third Hospital, Hubei, China.
Yongfeng ChenMedical Management Department, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Wen XieDepartment of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.ORCID 0000-0002-8451-3844
Wuhan University · CNWuhan City Chinese Medicine Hospital · CNWuhan Third Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the blood coagulation function in COVID-19 patients, and the correlation between coagulopathy and disease severity.

methodsWe retrospectively collected 147 clinically diagnosed COVID-19 patients at Wuhan Leishenshan Hospital of Hubei, China. We analyzed the coagulation function in COVID-19 patients through the data including thrombin-antithrombin complex (TAT), α2-plasmininhibitor-plasmin Complex (PIC), thrombomodulin (TM), t-PA/PAI-1 Complex (t-PAIC), prothrombin time (PT), international normalized ratio (INR), activated partial thromboplastin time (APTT), fibrinogen (FIB), thrombin time (TT), D-Dimer (DD), and platelet (PLT).

resultThe levels of TAT, PIC, TM, t-PAIC, PT, INR, FIB, and DD in COVID-19 patients were higher than health controls (p<0.05), and also higher in the patients with thrombotic disease than without thrombotic disease (p<0.05). What's more, the patients with thrombotic disease had a higher case-fatality (p<0.05). TAT, PIC, TM, t-PAIC, PT, INR, APTT, FIB, DD, and PLT were also found correlated with disease severity. Meanwhile, we found that there were significant difference in TAT, TM, t-PAIC, PT, INR, APTT, DD, and PLT in the death and survival group. Further using univariate and multivariate logistic regression analysis also found that t-PAIC and DD were independent risk factors for death in patients and are excellent predicting the mortality risk of COVID-19.

conclusionMost COVID-19 patients with inordinate coagulation systems, dynamic monitoring of coagulation parameters might be a key in the control of COVID-19 death.

Indexed as

Blood CoagulationAdultAgedBetacoronavirusBlood Coagulation DisordersBlood Coagulation TestsCase-Control StudiesChinaCoronavirus InfectionsCOVID-19FemaleHumansMaleMiddle AgedPandemicsPneumonia, Viral

Identifiers

PMID33119703
PMCPMC7595402
OpenAlexW3095415353

What OpenQuestion holds

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LicenceCC BY
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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.