Evidence map›Paper›PMID 28049124›Full record

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

Personalised medicine in asthma: from curative to preventive medicine.

Laurent Guilleminault, Hakima Ouksel, Chantal Belleguic, Yannick Le Guen, Patrick Germaud, Emilie Desfleurs, Christophe Leroyer, Antoine Magnan

Open access · diamondAbstract 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 38 citations in OpenAlex.

  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. Article
  3. Decision Making in Severe Equine Asthma-Diagnosis and Monitoring.Animals : an open access journal from MDPI · 2023
    Review
  4. Review
  5. Review
  6. Rhinosinusitis: clinical-based phenotyping.Acta bio-medica : Atenei Parmensis · 2022
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Personalised medicine: are we ready?European respiratory review : an official journal of the European Respiratory Society · 2017
    Article
  12. 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

8 authors at 8 institutions in 2 countries.

Laurent GuilleminaultDept of Pulmonary Medicine, Reunion Island University Hospital/South Reunion Island Hospital Group, Saint-Pierre, France laurent.guilleminault@chu-reunion.fr.
Hakima OukselDept of Pulmonary Medicine, Angers University Hospital, Angers, France.
Chantal BelleguicDept of Pulmonary Medicine, Rennes University Hospital, Rennes, France.
Yannick Le GuenDept of Pulmonary Medicine, Rennes University Hospital, Rennes, France.
Patrick GermaudNantes University Hospital, Nantes-Roscoff National Cystic Fibrosis Reference Centre, Nantes, France.
Emilie DesfleursNovartis Pharma, Scientific Operations, Rueil-Malmaison, France.
Christophe LeroyerEuropean University of Brittany, University of Brest, EA3878, IFR148, Dept of Internal and Respiratory Medicine, La Cavale Blanche Hospital, Brest, France.
Antoine MagnanNantes University Hospital, Nantes-Roscoff National Cystic Fibrosis Reference Centre, Nantes, France.
Centre Hospitalier privé Saint Grégoire · FRCentre Hospitalier Universitaire de Rennes · FRCentre National de la Recherche Scientifique · FRInserm · FRNantes Université · FRNovartis (France) · FRUniversité d'Angers · FRUniversité Européenne de Bretagne · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concept of asthma has changed substantially in recent years. Asthma is now recognised as a heterogeneous entity that is complex to treat. The subdivision of asthma, provided by "cluster" analyses, has revealed various groups of asthma patients who share phenotypic features. These phenotypes underlie the need for personalised asthma therapy because, in contrast to the previous approach, treatment must be tailored to the individual patient. Determination of the patient's asthma phenotype is therefore essential but sometimes challenging, particularly in elderly patients with a multitude of comorbidities and a complex exposure history. This review first describes the various asthma phenotypes, some of which were defined empirically and others through cluster analysis, and then discusses personalisation of the patient's diagnosis and therapy, addressing in particular biological therapies and patient education. This personalised approach to curative medicine should make way in the coming years for personalised preventive and predictive medicine, focused on subjects at risk who are not yet ill, with the aim of preventing asthma before it occurs. The concept of personalised preventive medicine may seem a long way off, but is it really?

Indexed as

Anti-Asthmatic AgentsAsthmaBiological ProductsCluster AnalysisComorbidityHealth Knowledge, Attitudes, PracticeHumansLungPatient Education as TopicPatient SelectionPhenotypePrecision MedicinePredictive Value of TestsPreventive MedicinePrognosisRisk FactorsAnti-Asthmatic AgentsBiological Products

Identifiers

PMID28049124
PMCPMC9489193
OpenAlexW2571026257

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.