Evidence map›Paper›PMID 24009412›Full record

ReviewBiologics : targets & therapy2013

Clinical utility of asthma biomarkers: from bench to bedside.

Susanne Jh Vijverberg, Bart Hilvering, Jan Am Raaijmakers, Jan-Willem J Lammers, Anke-Hilse Maitland-van der Zee, Leo Koenderman

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Biologics : targets & therapy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04755829 (Breath Test to Predict Breast Cancer and Outcome of Mammography), which is not on this map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
4.1field-weighted citation impact, top 6% 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.

NCT04755829 unknown statusnot on this mapstarted 2021, after this paper: background citation

Breath Test to Predict Breast Cancer and Outcome of Mammography

TypeobservationalSponsorMenssana Research, Inc.Ran2021 to 2023Enrolled1,000ConditionsBreast Cancer, Abnormal Mammogram, UnspecifiedArmsBreathX test for breath VOCs
3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 87 citations in OpenAlex.

  1. Article
  2. Article
  3. Phenotype overlap in the natural history of asthma.European respiratory review : an official journal of the European Respiratory Society · 2023
    Review
  4. Article
  5. Periostin as an important biomarker of inflammatory phenotype T2 in Brazilian asthma patients.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2023
    Article
  6. Precision Medicine in Asthma Therapy.Handbook of experimental pharmacology · 2023
    Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Novel eosinophilic gene expression networks associated with IgE in two distinct asthma populations.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2018
    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

6 authors at 2 institutions in 1 country.

Susanne Jh VijverbergDivision of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, The Netherlands ; Department of Respiratory Medicine, University Medical Centre Utrecht, Utrecht, The Netherlands.
Bart Hilvering
Jan Am Raaijmakers
Jan-Willem J Lammers
Anke-Hilse Maitland-van der Zee
Leo Koenderman
University Medical Center Utrecht · NLUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma is a chronic disease characterized by airway inflammation, bronchial hyperresponsiveness, and recurrent episodes of reversible airway obstruction. The disease is very heterogeneous in onset, course, and response to treatment, and seems to encompass a broad collection of heterogeneous disease subtypes with different underlying pathophysiological mechanisms. There is a strong need for easily interpreted clinical biomarkers to assess the nature and severity of the disease. Currently available biomarkers for clinical practice - for example markers in bronchial lavage, bronchial biopsies, sputum, or fraction of exhaled nitric oxide (FeNO) - are limited due to invasiveness or lack of specificity. The assessment of markers in peripheral blood might be a good alternative to study airway inflammation more specifically, compared to FeNO, and in a less invasive manner, compared to bronchoalveolar lavage, biopsies, or sputum induction. In addition, promising novel biomarkers are discovered in the field of breath metabolomics (eg, volatile organic compounds) and (pharmaco)genomics. Biomarker research in asthma is increasingly shifting from the assessment of the value of single biomarkers to multidimensional approaches in which the clinical value of a combination of various markers is studied. This could eventually lead to the development of a clinically applicable algorithm composed of various markers and clinical features to phenotype asthma and improve diagnosis and asthma management.

Indexed as

airway inflammationasthmabiological markersmetabolomicspharmacogenomics

Identifiers

PMID24009412
PMCPMC3762671
OpenAlexW1970218838

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.