Evidence map›Paper›PMID 35455659›Full record

ReviewJournal of personalized medicine2022

MicroRNAs-A Promising Tool for Asthma Diagnosis and Severity Assessment: A Systematic Review.

Mohammed Aref Kyyaly, Elena Vladimirovna Vorobeva, Dilini M Kothalawala, Wei Chern Gavin Fong, Peijun He, Collin L Sones, Mohammad Al-Zahrani, Tilman Sanchez-Elsner, Syed Hasan Arshad, Ramesh J Kurukulaaratchy

Open access · goldAbstract readReview
In one paragraph

Review in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 17 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

10 authors at 4 institutions in 2 countries.

Mohammed Aref KyyalyClinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.ORCID 0000-0002-1684-9207
Elena Vladimirovna VorobevaClinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.
Dilini M KothalawalaNIHR Southampton Biomedical Research Centre, University Hospitals Southampton, Southampton SO16 6YD, UK.ORCID 0000-0002-5804-0457
Wei Chern Gavin FongClinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.
Peijun HeOptoelectronics Research Centre, University of Southampton, Southampton SO17 1BJ, UK.
Collin L SonesOptoelectronics Research Centre, University of Southampton, Southampton SO17 1BJ, UK.
Mohammad Al-ZahraniClinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.
Tilman Sanchez-ElsnerClinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.
Syed Hasan ArshadClinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.
Ramesh J KurukulaaratchyClinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.
NIHR Southampton Biomedical Research Centre · GBUniversity of Southampton · GBDavid Hide Asthma and Allergy Research Centre · GBSouthampton Solent University · GB

Funding

Asthma UK AUK-PG-2019-419
6 · The paper itself

Abstract

Micro RNAs (miRNAs) are short, non-coding RNAs (Ribonucleic acids) with regulatory functions that could prove useful as biomarkers for asthma diagnosis and asthma severity-risk stratification. The objective of this systematic review is to identify panels of miRNAs that can be used to support asthma diagnosis and severity-risk assessment. Three databases (Medline, Embase, and SCOPUS) were searched up to 15 September 2020 to identify studies reporting differential expression of specific miRNAs in the tissues of adults and children with asthma. Studies reporting miRNAs associations in animal models that were also studied in humans were included in this review. We identified 75 studies that met our search criteria. Of these, 66 studies reported more than 200 miRNAs that are differentially expressed in asthma patients when compared to non-asthmatic controls. In addition, 16 studies reported 17 miRNAs that are differentially expressed with differences in asthma severity. We were able to construct two panels of miRNAs that are expressed in blood and can serve as core panels to further investigate the practicality and efficiency of using miRNAs as non-invasive biomarkers for asthma diagnosis and severity-risk assessment, respectively.

Indexed as

asthmaasthma severitybiomarkerdiagnosismicro RNA

Identifiers

PMID35455659
PMCPMC9030707
OpenAlexW4220914474

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.