Evidence map›Paper›PMID 29904594›Full record

ArticleF1000Research2018

Towards precision medicine: The application of omics technologies in asthma management.

Chiara Scelfo, Carla Galeone, Francesca Bertolini, Marco Caminati, Patrizia Ruggiero, Nicola Facciolongo, Francesco Menzella

Open access · goldAbstract read
In one paragraph

Article in F1000Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. The evolution of scientific knowledge in childhood asthma over time.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  2. Identification ofJournal of personalized medicine · 2021
    Article
  3. Article
  4. 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

7 authors at 3 institutions in 2 countries.

Chiara ScelfoDepartment of Medical Specialties, Pneumology Unit, Arcispedale Santa Maria Nuova- IRCCS, Azienda USL di Reggio Emilia, Reggio Emilia, 42123, Italy.ORCID https://orcid.org/0000-0002-3192-3882
Carla GaleoneDepartment of Medical Specialties, Pneumology Unit, Arcispedale Santa Maria Nuova- IRCCS, Azienda USL di Reggio Emilia, Reggio Emilia, 42123, Italy.
Francesca BertoliniDepartment of Bio and Health Informatics, Technical University of Denmark, Kongens Lyngby, 2800, Denmark.
Marco CaminatiAsthma Center and Allergy Unit, Verona University Hospital, Verona, 37134, Italy.
Patrizia RuggieroDepartment of Medical Specialties, Pneumology Unit, Arcispedale Santa Maria Nuova- IRCCS, Azienda USL di Reggio Emilia, Reggio Emilia, 42123, Italy.
Nicola FacciolongoDepartment of Medical Specialties, Pneumology Unit, Arcispedale Santa Maria Nuova- IRCCS, Azienda USL di Reggio Emilia, Reggio Emilia, 42123, Italy.
Francesco MenzellaDepartment of Medical Specialties, Pneumology Unit, Arcispedale Santa Maria Nuova- IRCCS, Azienda USL di Reggio Emilia, Reggio Emilia, 42123, Italy.ORCID https://orcid.org/0000-0003-3950-5789
Santa Maria Nuova Hospital · ITTechnical University of Denmark · DKUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma is a chronic obstructive respiratory disease characterised by bronchial inflammation. Its biological and clinical features have been widely explored and a number of pharmacological treatments are currently available. Currently several aspects of asthma pathophysiological background remain unclear, and this is represent a limitation for the traditional asthma phenotype approach. In this scenario, the identification of new molecular and clinical biomarkers may be helpful in order to better understand the disease, define specific diagnostic tools and highlight relevant novel targets for pharmacological treatments. Omics technologies offer innovative research tools for addressing the above mentioned goals. However, there is still a lot to do both in the fields of basic research and in the clinical application. Recently, genome-wide association studies, microRNAs and proteomics are contributing to enrich the available data for the identification of new asthma biomarkers. A precise approach to the patient with asthma, particularly with severe uncontrolled asthma, requires new and specific therapeutic targets, but also proper tools able to drive the clinician in tailoring the treatment. On the other hand, there is a need of predictors to treatment's response, particularly in the field of biological drugs, whose sustainability implies a correct and precise selection of the patients. Translating acquired omics knowledge in clinical practice may address the unmet needs described above, but large-scale studies are required in order to confirm their relevance and effectiveness in daily practice. Thus in our opinion the application of omics is still lagging in the real-life setting.

Indexed as

InflammationOmics sciencesPrecision medicineSevere asthma

Identifiers

PMID29904594
PMCPMC5964625
OpenAlexW2795645497

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.