Evidence map›Paper›PMID 38707036›Full record

ArticleCureus2024

Identification of the Hub Genes Involved in Chikungunya Viral Infection.

Sanaa Ahmed, Ahmed Salem, Nema Hamadan, Maha Khalfallah, Mohamed Alfaki

Abstract read
In one paragraph

Article in Cureus, 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

5 authors.

Sanaa AhmedPharmacology, Faculty of Pharmacy, University of Khartoum, Khartoum, SDN.
Ahmed SalemBiological and Biochemical Sciences, Faculty of Chemical Technology, University of Pardubice, Pardubice, CZE.
Nema HamadanHistopathology and Cytology, University of Ibn Sina, Khartoum, SDN.
Maha KhalfallahZoology, Faculty of Science, University of Khartoum, Khartoum, SDN.
Mohamed AlfakiResearch, Sidra Medicine, Doha, QAT.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Chikungunya virus (CHIKV) infection poses a significant global health threat, necessitating a deeper understanding of its molecular mechanisms for effective management and treatment. This study aimed to understand the molecular and genetic mechanisms of CHIKV infection by analyzing microarray expression data. Methodology National Center for Biotechnology Information (NCBI) GEO2R with an adjusted p-value cut-off of <0.05 and |log

Indexed as

cellular signaling pathwayschikungunya virus (chikv)differentially expressed genes (degs)hub genesprotein-protein interaction (ppi) network

Identifiers

PMID38707036
PMCPMC11069395

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.