Evidence mapPaperPMID 35153741Full record

ArticleFrontiers in pharmacology2021

An Integrative Network Approach to Identify Common Genes for the Therapeutics in Tuberculosis and Its Overlapping Non-Communicable Diseases.

Aftab Alam, Hala Abubaker Bagabir, Armiya Sultan, Mohd Faizan Siddiqui, Nikhat Imam, Mustfa F Alkhanani, Ahmad Alsulimani, Shafiul Haque, Romana Ishrat

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 28 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

9 authors at 6 institutions in 3 countries.

Aftab AlamCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.
Hala Abubaker BagabirDepartment of Physiology, Faculty of Medicine, King Abdulaziz University, Rabigh, Saudi Arabia.
Armiya SultanDepartment of Biosciences, Jamia Millia Islamia, New Delhi, India.
Mohd Faizan SiddiquiInternational Medical Faculty, Osh State University, Osh, Kyrgyzstan.
Nikhat ImamDepartment of Mathematics, Institute of Computer Science and Information Technology, Magadh University, Bodh Gaya, India.
Mustfa F AlkhananiEmergency Service Department, College of Applied Sciences, AlMaarefa University, Riyadh, Saudi Arabia.
Ahmad AlsulimaniMedical Laboratory Technology Department, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia.
Shafiul HaqueResearch and Scientific Studies Unit, College of Nursing and Allied Health Sciences, Jazan University, Jazan, Saudi Arabia.
Romana IshratCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.
Jamia Millia Islamia · INJazan University · SAAlfaisal University · SAKing Abdulaziz University · SAMagadh University · INOsh State University · KG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) is the leading cause of death from a single infectious agent. The estimated total global TB deaths in 2019 were 1.4 million. The decline in TB incidence rate is very slow, while the burden of noncommunicable diseases (NCDs) is exponentially increasing in low- and middle-income countries, where the prevention and treatment of TB disease remains a great burden, and there is enough empirical evidence (scientific evidence) to justify a greater research emphasis on the syndemic interaction between TB and NCDs. The current study was proposed to build a disease-gene network based on overlapping TB with NCDs (overlapping means genes involved in TB and other/s NCDs),

Indexed as

Disease-disease relationshipDisease-target interactionMTB and NCDsNetwork BiologyNetwork Medicines

Identifiers

PMID35153741
PMCPMC8829040
OpenAlexW4213014399

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.