Evidence map›Paper›PMID 32494300›Full record

ReviewBreathe (Sheffield, England)2020

Measuring inflammation in paediatric severe asthma: biomarkers in clinical practice.

Amelia Licari, Sara Manti, Riccardo Castagnoli, Salvatore Leonardi, Gian Luigi Marseglia

Open access · diamondAbstract readReview
In one paragraph

Review in Breathe (Sheffield, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 39 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
  19. Type 2 inflammation in cystic fibrosis: New insights.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2022
    Article
  20. Article
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

5 authors at 2 institutions in 1 country.

Amelia LicariPediatric Clinic, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy.
Sara MantiDept of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Riccardo CastagnoliPediatric Clinic, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy.
Salvatore LeonardiDept of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Gian Luigi MarsegliaPediatric Clinic, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy.
University of Pavia · ITUniversity of Catania · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe asthma in children is a highly heterogeneous disorder, encompassing different clinical characteristics (phenotypes) and immunopathological pathways (endotypes). Research is focusing on the identification of noninvasive biomarkers able to predict treatment response and assist in designing personalised therapies for severe asthma. Blood and sputum eosinophils, serum IgE and exhaled nitric oxide fraction mostly reflect type 2 airway inflammation in children. However, in the absence of available point-of-care biomarkers, the diagnosis of non-type 2 asthma is still reached by exclusion. In this review, we present the most recent evidence on biomarkers for severe asthma and discuss their implementation in clinical practice. We address the methods for guiding treatment decisions and patient identification, focusing on the paediatric age group. KEY POINTS: Severe asthma in children is a highly heterogeneous disorder, encompassing different clinical characteristics (phenotypes) and immunopathological pathways (endotypes).Research is focusing on the identification of noninvasive biomarkers able to predict treatment response and assist in designing personalised therapies for severe asthma.Blood and sputum eosinophils, serum IgE and exhaled nitric oxide fraction mostly reflect type 2 airway inflammation in children. However, knowledge regarding non-type 2 inflammation and related biomarkers is still lacking. EDUCATIONAL

aimsTo summarise the most recent evidence on biomarkers for severe asthma in children.To discuss their implementation in clinical practice through guiding patient identification and treatment decisions.

Identifiers

PMID32494300
PMCPMC7249787
OpenAlexW3021469815

What OpenQuestion 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 OpenQuestion graph.