Evidence map›Paper›PMID 39403256›Full record

ArticleJournal of inflammation research2024

The Mediating Role of Inflammation and Coagulation in the Association Between COVID-19 and 3-Month Outcome After Stroke During the Omicron Wave.

Luqian Zhan, Ye Zhang, Yanwei Li, Chenhui Lin, Heyu Zhang, Yuntao Liu, Jincai He

Abstract read
In one paragraph

Article in Journal of inflammation research, 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
–field-weighted citation impact
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.

  1. Article
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.

Luqian Zhan *Department of Neurology, Integrated Traditional Chinese and Western Medicine Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China.
Ye Zhang *Third Department of Cerebrovascular Disease, Cangzhou Central Hospital, Cangzhou, People's Republic of China.
Yanwei LiDepartment of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China.ORCID 0009-0008-1675-0283
Chenhui LinDepartment of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China.
Heyu ZhangDepartment of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China.
Yuntao LiuDepartment of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China.ORCID 0000-0003-4033-2133
Jincai HeDepartment of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Acute ischemic stroke (AIS) patients with COVID-19 have severe neurological symptoms and high mortality. It remains unclear how COVID-19 causes unfavorable outcomes. This study aimed to explore the possible mechanism focusing on inflammation and coagulation. Patients and Methods: 109 AIS patients were recruited and followed up 3 months after stroke. We used binary logistic regression to investigate if COVID-19 infection is an independent prognostic factor. To analyze the link between inflammation, coagulation, and neurological outcomes, we used mediation analysis. Results: Compared to the non-COVID-19 group, the COVID-19 group had significantly higher fibrinogen (FIB) ( Conclusion: AIS with COVID-19 had a poorer prognosis. We delineated a more accurate mechanism by which COVID-19 influences functional outcomes: COVID-19 infection→inflammation→endogenous coagulation pathway→poor stroke outcome. This study provided new insight into the pathway mechanisms of AIS with COVID-19.

Indexed as

APTT ratioCOVID-19mediation analysisOmicronstroke

Identifiers

PMID39403256
PMCPMC11472735

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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.