Evidence map›Paper›PMID 34829993›Full record

ReviewInternational journal of molecular sciences2021

New Drug Targets to Prevent Death Due to Stroke: A Review Based on Results of Protein-Protein Interaction Network, Enrichment, and Annotation Analyses.

Michael Maes, Nikita G Nikiforov, Kitiporn Plaimas, Apichat Suratanee, Daniela Frizon Alfieri, Edna Maria Vissoci Reiche

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 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
1.8field-weighted citation impact, top 14% 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, 18 citations in OpenAlex.

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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 5 institutions in 5 countries.

Michael MaesDepartment of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.
Nikita G NikiforovLaboratory of Angiopathology, Institute of General Pathology and Pathophysiology, 125315 Moscow, Russia.
Kitiporn PlaimasAdvanced Virtual and Intelligent Computing (AVIC) Center, Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.ORCID 0000-0002-0416-8316
Apichat SurataneeDepartment of Mathematics, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok 10800, Thailand.ORCID 0000-0002-3439-6619
Daniela Frizon AlfieriLaboratory of Research in Applied Immunology, Health Sciences Center, State University of Londrina, Londrina, Paraná 86057-970, Brazil.
Edna Maria Vissoci ReicheLaboratory of Research in Applied Immunology, Health Sciences Center, State University of Londrina, Londrina, Paraná 86057-970, Brazil.
Universidade Estadual de Londrina · BRChulalongkorn University · THDeakin University · AUInstitute of Experimental Cardiology · RUKing Mongkut's University of Technology North Bangkok · TH

Funding

Russian Science Foundation 20-65-46021
6 · The paper itself

Abstract

This study used established biomarkers of death from ischemic stroke (IS) versus stroke survival to perform network, enrichment, and annotation analyses. Protein-protein interaction (PPI) network analysis revealed that the backbone of the highly connective network of IS death consisted of

Indexed as

BiomarkersComputational BiologyGene Regulatory NetworksHumansIschemic StrokeMicroRNAsProtein Interaction MapsBiomarkersMicroRNAsMIRN16 microRNA, humanMIRN26 microRNA, humancoagulationcytokineshemostasisinflammationneuroimmuneprotein-protein interactionsstroke

Identifiers

PMID34829993
PMCPMC8619767
OpenAlexW3212842713

What Socratic 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 Socratic graph.