Evidence map›Paper›PMID 28954768›Full record

ReviewEuropean respiratory review : an official journal of the European Respiratory Society2017

Personalised medicine in asthma: time for action: Number 1 in the Series "Personalised medicine in respiratory diseases" Edited by Renaud Louis and Nicolas Roche.

Kian Fan Chung

Abstract readReview
In one paragraph

Review in European respiratory review : an official journal of the European Respiratory Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

  1. Leveraging artificial intelligence for the management of preschool wheeze: A narrative review.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2025
    Review
  2. Unraveling the Molecular Complexity of Asthma: Insights from a Multicohort Transcriptome Study.American journal of respiratory cell and molecular biology · 2025
    Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Observational
  9. Leukocyte redistribution as immunological biomarker of corticosteroid resistance in severe asthma.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2022
    Article
  10. Article
  11. Treatment Response Biomarkers in Asthma and COPD.Diagnostics (Basel, Switzerland) · 2021
    Review
  12. Article
  13. Treatable Mechanisms in Asthma.Molecular diagnosis & therapy · 2021
    Article
  14. Article
  15. Review
  16. Dismantling the pathophysiology of asthma using imaging.European respiratory review : an official journal of the European Respiratory Society · 2019
    Review
  17. Biomarkers in asthma: state of the art.Asthma research and practice · 2018
    Review
  18. Personalised medicine: are we ready?European respiratory review : an official journal of the European Respiratory Society · 2017
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Kian Fan ChungNational Heart and Lung Institute, Imperial College London, London, UK f.chung@imperial.ac.uk.

Funding

Medical Research Council G1000758
6 · The paper itself

Abstract

Asthma is a heterogeneous disease comprising several phenotypes driven by different pathways. To define these phenotypes or endotypes (phenotypes defined by mechanisms), an unbiased approach to clustering of various omics platforms will yield molecular phenotypes from which composite biomarkers can be obtained. Biomarkers can help differentiate between these phenotypes and pinpoint patients suitable for specific targeted therapies - the basis for personalised medicine. Biomarkers need to be linked to point-of-care biomarkers that may be measured readily in exhaled breath, blood or urine. The potential for using mobile healthcare approaches will help patient enpowerment, an essential tool for personalised medicine. Personalised medicine in asthma is not far off - it is already here, but we need more tools and implements to carry it out for the benefit of our patients.

Indexed as

Precision MedicineAnti-Asthmatic AgentsAsthmaClinical Decision-MakingGenetic Predisposition to DiseaseHumansLungMolecular Diagnostic TechniquesPatient SelectionPhenotypePredictive Value of TestsRisk FactorsTelemedicineAnti-Asthmatic Agents

Identifiers

PMID28954768
PMCPMC9488697

What OpenQuestion holds

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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.