Evidence map›Paper›PMID 33260035›Full record

ArticleComputers in biology and medicine2021

Determining crucial genes associated with COVID-19 based on COPD Findings

Pooja Sharma, Anuj K Pandey, Dhruba K Bhattacharyya

Open access · greenAbstract read
In one paragraph

Article in Computers in biology and medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

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  2. The peptidoglycan ofScience translational medicine · 2025
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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

3 authors at 2 institutions in 1 country.

Pooja SharmaDepartment of IT, BIT Sindri, Dhanbad, Jharkhand, 828123, India. Electronic address: poojasharma0303@gmail.com.
Anuj K PandeyDepartment of EE, BIT Sindri, Dhanbad, Jharkhand, 828123, India.
Dhruba K BhattacharyyaDepartment of CSE,Tezpur University, Assam, 784028, India.
Indian Institute of Technology Dhanbad · INTezpur University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genes act in groups known as gene modules, which accomplish different cellular functions in the body. The modular nature of gene networks was used in this study to detect functionally enriched modules in samples obtained from COPD patients. We analyzed modules extracted from COPD samples and identified crucial genes associated with the disease COVID-19. We also extracted modules from a COVID-19 dataset and analyzed a suspected set of genes that may be associated with this deadly disease. We used information available for two other viruses that cause SARS and MERS because their physiology is similar to that of the COVID-19 virus. We report several crucial genes associated with COVID-19: RPA2, POLD4, MAPK8, IRF7, JUN, NFKB1, NFKBIA, CD40LG, FASLG, ICAM1, LIFR, STAT2 and CCR1. Most of these genes are related to the immune system and respiratory organs, which emphasizes the fact that COPD weakens this system and makes patients more susceptible to developing severe COVID-19.

Indexed as

Databases, Nucleic AcidGenetic Predisposition to DiseaseCOVID-19HumansPulmonary Disease, Chronic ObstructiveSARS-CoV-2Severity of Illness IndexCOVID-19GeneCardMERSPathwaySARS

Identifiers

PMID33260035
PMCPMC7680043
OpenAlexW3106582760

What OpenQuestion holds

Textmetadata
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Registered trials

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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.