Evidence map›Paper›PMID 38325400›Full record

ArticleThrombosis and haemostasis2024

Causal Effects of COVID-19 on the Risk of Thrombosis: A Two-Sample Mendel Randomization Study.

Zhengran Li, Minghui Zeng, Tong Wu, Zijin Wang, Yuxin Sun, Ziran Zhang, Fanye Wu, Zejun Chen, Min Fu, Fanke Meng

Open access · hybridAbstract read
In one paragraph

Article in Thrombosis and haemostasis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Zhengran Li *The Second Clinical Medicine School, Southern Medical University, Guangzhou, Guangdong, China.
Minghui Zeng *Institute of Scientific Research, Southern Medical University, Guangzhou, China.
Tong WuThe First Clinical Medicine School, Southern Medical University, Guangzhou, Guangdong, China.
Zijin WangThe Second Clinical Medicine School, Southern Medical University, Guangzhou, Guangdong, China.
Yuxin SunThe Second Clinical Medicine School, Southern Medical University, Guangzhou, Guangdong, China.
Ziran ZhangThe Second Clinical Medicine School, Southern Medical University, Guangzhou, Guangdong, China.
Fanye WuThe Second Clinical Medicine School, Southern Medical University, Guangzhou, Guangdong, China.
Zejun ChenThe Second Clinical Medicine School, Southern Medical University, Guangzhou, Guangdong, China.
Min FuDepartment of Ophthalmology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.ORCID 0000-0003-2638-1756
Fanke MengEmergency Department, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Southern Medical University · CNZhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) and thrombosis are linked, but the biomolecular mechanism is unclear. We aimed to investigate the causal relationship between COVID-19 and thrombotic biomarkers.

methodsWe used two-sample Mendelian randomization (MR) to assess the effect of COVID-19 on 20 thrombotic biomarkers. We estimated causality using inverse variance weighting with multiplicative random effect, and performed sensitivity analysis using weighted median, MR-Egger regression and MR Pleiotropy Residual Sum and Outlier (MR-PRESSO) methods. All the results were examined by false discovery rate (FDR) with the Benjamin and Hochberg method for this correction to minimize false positives. We used R language for the analysis.

resultsAll COVID-19 classes showed lower levels of tissue factor pathway inhibitor (TFPI) and interleukin-1 receptor type 1 (IL-1R1). COVID-19 significantly reduced TFPI (odds ratio [OR] = 0.639, 95% confidence interval [CI]: 0.435-0.938) and IL-1R1 (OR = 0.603, 95% CI = 0.417-0.872), nearly doubling the odds. We also found that COVID-19 lowered multiple coagulation factor deficiency protein 2 and increased C-C motif chemokine 3. Hospitalized COVID-19 cases had less plasminogen activator, tissue type (tPA) and P-selectin glycoprotein ligand 1 (PSGL-1), while severe cases had higher mean platelet volume (MPV) and lower platelet count. These changes in TFPI, tPA, IL-1R1, MPV, and platelet count suggested a higher risk of thrombosis. Decreased PSGL-1 indicated a lower risk of thrombosis.

conclusionTFPI, IL-1R, and seven other indicators provide causal clues of the pathogenesis of COVID-19 and thrombosis. This study demonstrated that COVID-19 causally influences thrombosis at the biomolecular level.

Indexed as

BiomarkersCOVID-19LipoproteinsMendelian Randomization AnalysisThrombosisHumansRisk FactorsSARS-CoV-2Biomarkerslipoprotein-associated coagulation inhibitorLipoproteins

Identifiers

PMID38325400
PMCPMC11259497
OpenAlexW4391618346

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.