Evidence map›Paper›PMID 36300189›Full record

ReviewFrontiers in medicine2022

Critical evaluation of asthma biomarkers in clinical practice.

Giuseppe Guida, Diego Bagnasco, Vitina Carriero, Francesca Bertolini, Fabio Luigi Massimo Ricciardolo, Stefania Nicola, Luisa Brussino, Emanuele Nappi, Giovanni Paoletti, Giorgio Walter Canonica and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
7.0field-weighted citation impact, top 2% 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

46 citing papers in PubMed, 67 citations in OpenAlex.

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  14. Exposure to Violence and Asthma Endotypes in Puerto Rican Youth.Annals of the American Thoracic Society · 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

11 authors at 4 institutions in 1 country.

Giuseppe GuidaSevere Asthma and Rare Lung Disease Unit, Department of Clinical and Biological Sciences, San Luigi Gonzaga University Hospital, University of Torino, Turin, Italy.
Diego BagnascoAllergy and Respiratory Diseases, IRCCS Policlinico San Martino, Department of Internal Medicine (DIMI), University of Genoa, Genoa, Italy.
Vitina CarrieroSevere Asthma and Rare Lung Disease Unit, Department of Clinical and Biological Sciences, San Luigi Gonzaga University Hospital, University of Torino, Turin, Italy.
Francesca BertoliniSevere Asthma and Rare Lung Disease Unit, Department of Clinical and Biological Sciences, San Luigi Gonzaga University Hospital, University of Torino, Turin, Italy.
Fabio Luigi Massimo RicciardoloSevere Asthma and Rare Lung Disease Unit, Department of Clinical and Biological Sciences, San Luigi Gonzaga University Hospital, University of Torino, Turin, Italy.
Stefania NicolaAllergy and Immunology, AO Mauriziano Hospital, University of Turin, Turin, Italy.
Luisa BrussinoAllergy and Immunology, AO Mauriziano Hospital, University of Turin, Turin, Italy.
Emanuele NappiIRCCS Humanitas Research Hospital, Milan, Italy.
Giovanni PaolettiIRCCS Humanitas Research Hospital, Milan, Italy.
Giorgio Walter CanonicaIRCCS Humanitas Research Hospital, Milan, Italy.
Enrico HefflerIRCCS Humanitas Research Hospital, Milan, Italy.
University of Turin · ITIRCCS Humanitas Research Hospital · ITHumanitas University · ITUniversity of Genoa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advent of personalized medicine has revolutionized the whole approach to the management of asthma, representing the essential basis for future developments. The cornerstones of personalized medicine are the highest precision in diagnosis, individualized prediction of disease evolution, and patient-tailored treatment. To this aim, enormous efforts have been established to discover biomarkers able to predict patients' phenotypes according to clinical, functional, and bio-humoral traits. Biomarkers are objectively measured characteristics used as indicators of biological or pathogenic processes or clinical responses to specific therapeutic interventions. The diagnosis of type-2 asthma, prediction of response to type-2 targeted treatments, and evaluation of the risk of exacerbation and lung function impairment have been associated with biomarkers detectable either in peripheral blood or in airway samples. The surrogate nature of serum biomarkers, set up to be less invasive than sputum analysis or bronchial biopsies, has shown several limits concerning their clinical applicability. Routinely used biomarkers, like peripheral eosinophilia, total IgE, or exhaled nitric oxide, result, even when combined, to be not completely satisfactory in segregating different type-2 asthma phenotypes, particularly in the context of severe asthma where the choice among different biologics is compelling. Moreover, the type-2 low fraction of patients is not only an orphan of biological treatments but is at risk of being misdiagnosed due to the low negative predictive value of type-2 high biomarkers. Sputum inflammatory cell analysis, considered the highest specific biomarker in discriminating eosinophilic inflammation in asthma, and therefore elected as the gold standard in clinical trials and research models, demonstrated many limits in clinical applicability. Many factors may influence the measure of these biomarkers, such as corticosteroid intake, comorbidities, and environmental exposures or habits. Not least, biomarkers variability over time is a confounding factor leading to wrong clinical choices. In this narrative review, we try to explore many aspects concerning the role of routinely used biomarkers in asthma, applying a critical view over the "state of the art" and contemporarily offering an overview of the most recent evidence in this field.

Indexed as

airway inflammationasthmabiologicsbiomarkerseosinophilsexhaled nitric oxide (FENO)severe asthmasputum

Identifiers

PMID36300189
PMCPMC9588982
OpenAlexW4303958777

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.