Evidence map›Paper›PMID 33732102›Full record

ArticleFrontiers in neuroscience2021

The Epidemiological and Mechanistic Understanding of the Neurological Manifestations of COVID-19: A Comprehensive Meta-Analysis and a Network Medicine Observation.

Jiayu Shen, Yuan Hou, Yadi Zhou, Reena Mehra, Lara Jehi, Feixiong Cheng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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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

6 authors at 2 institutions in 1 country.

Jiayu ShenGenomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States.
Yuan HouGenomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States.
Yadi ZhouGenomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States.
Reena MehraNeurological Institute, Cleveland Clinic, Cleveland, OH, United States.
Lara JehiNeurological Institute, Cleveland Clinic, Cleveland, OH, United States.
Feixiong ChengGenomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States.
Cleveland Clinic Lerner College of Medicine · USCase Western Reserve University · US

Funding

Endophenotype Network-based Approaches to Prediction and Population-based Validation of In Silico Drug Repurposing for Alzheimer's DiseaseR01AG066707 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI Feixiong Cheng · 2020 to 2026
$4.9M
A Nomogram to Predict Seizure Outcomes After Resective Epilepsy SurgeryR01NS097719 · NINDS · CLEVELAND CLINIC LERNER COM-CWRU · PI JEHI, LARA · 2017 to 2021
$3.6M
An individualized network medicine infrastructure for precision cardio-oncologyR00HL138272 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI CHENG, FEIXIONG · 2018 to 2020
$747k
NHLBI NIH HHS R00 HL138272NIA NIH HHS R01 AG066707NINDS NIH HHS R01 NS097719
6 · The paper itself

Abstract

The clinical characteristics and biological effects on the nervous system of infection with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remain poorly understood. The aim of this study is to advance epidemiological and mechanistic understanding of the neurological manifestations of coronavirus disease 2019 (COVID-19) using stroke as a case study. In this study, we performed a meta-analysis of clinical studies reporting stroke history, intensive inflammatory response, and procoagulant state C-reactive protein (CRP), Procalcitonin (PCT), and coagulation indicator (D-dimer) in patients with COVID-19. Via network-based analysis of SARS-CoV-2 host genes and stroke-associated genes in the human protein-protein interactome, we inspected the underlying inflammatory mechanisms between COVID-19 and stroke. Finally, we further verified the network-based findings using three RNA-sequencing datasets generated from SARS-CoV-2 infected populations. We found that the overall pooled prevalence of stroke history was 2.98% (95% CI, 1.89-4.68;

Indexed as

cerebrovascular diseasecoronavirus disease 2019 (COVID-19)network medicineprotein-protein interactomeSARS-CoV-2strokevascular cell adhesion molecule 1 (VCAM-1)

Identifiers

PMID33732102
PMCPMC7959722
OpenAlexW3109887241

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.