Evidence map›Paper›PMID 41878747›Full record

ReviewJournal of asthma and allergy2026

Systems Biology and Multi-Omics in Asthma and COPD: A Systematic Review of Computational Approaches (2010-2024).

Mushabbab A Alahmari

Abstract readReview
In one paragraph

Review in Journal of asthma and allergy, 2026. 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. Review
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

1 author.

Mushabbab A AlahmariDepartment of Respiratory Therapy, College of Applied Medical Sciences, University of Bisha, Bisha, Saudi Arabia.ORCID 0000-0003-3381-509X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systems biology approaches have contributed to advancing our understanding of complex respiratory diseases including asthma and chronic obstructive pulmonary disease (COPD). This systematic review evaluates the application of systems biology methodologies in respiratory medicine, focusing on multi-omics data integration and computational techniques for biomarker discovery and mechanistic understanding. Following PRISMA 2020 guidelines, we conducted a comprehensive literature search across Web of Science and Scopus databases, identifying 117 peer-reviewed documents published from 2010 to 2024. The review methodology employed bibliometric analysis combined with qualitative synthesis of included studies. Results demonstrate steady growth in systems biology applications for asthma and COPD research, with publication rates increasing by approximately 0.5 articles per year (

Indexed as

computational modellingmulti-omics integrationpersonalized medicinerespiratory diseasessystems biology

Identifiers

PMID41878747
PMCPMC13007689

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.