Evidence map›Paper›PMID 42101373›Full record

ArticleClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis

The Causal Effects of Inflammation and Coagulation-Related Biomarkers on Sepsis-Related Complications: A Mendelian Randomization Study.

Qi Yao, Yiran Yao, Zhe Liao, Jing Wang, Mengmeng Yu

Abstract read
In one paragraph

Article in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Qi YaoCritical Care Department, The Fourth People's Hospital, Guiyang, Guizhou Province, China.
Yiran YaoDepartment of Gastroenterology, Affiliated Hospital of Guizhou Medical University, Guiyang, China.ORCID 0009-0003-5828-7825
Zhe LiaoCritical Care Department, The Fourth People's Hospital, Guiyang, Guizhou Province, China.
Jing WangCritical Care Department, The Fourth People's Hospital, Guiyang, Guizhou Province, China.
Mengmeng YuCritical Care Department, The Fourth People's Hospital, Guiyang, Guizhou Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundSepsis and its complications pose a major global health burden. Mendelian randomization (MR) provides a genetic approach to assess causality.MethodsWe conducted a two-sample Mendelian randomization (MR) study using data from large-scale genome-wide association studies (GWAS). This study aimed to assess the causal effects of six key biomarkers (D-dimer, Galectin-3, activated protein C, tumor necrosis factor receptor 2, interleukin-6 receptor subunit alpha, and thrombomodulin) on six sepsis-related complications, including acute respiratory distress syndrome (ARDS) and acute renal failure. The primary analysis utilized the inverse-variance weighted (IVW) method, with comprehensive sensitivity analyses to assess for heterogeneity and pleiotropy. A False Discovery Rate (FDR) was applied to correct for multiple testing.ResultsThe primary IVW analysis suggested several potential causal associations. Genetically predicted D-dimer was associated with a lower risk of ARDS (OR = 0.63,

Indexed as

Blood CoagulationInflammationMendelian Randomization AnalysisSepsisBiomarkersFibrin Fibrinogen Degradation ProductsGenome-Wide Association StudyHumansRespiratory Distress SyndromeBiomarkersFibrin Fibrinogen Degradation ProductsbiomarkerscausalitycoagulationinflammationMendelian randomizationsepsis

Identifiers

PMID42101373
PMCPMC13167366

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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.