Evidence map›Paper›PMID 33947403›Full record

Observational studyRespiratory research2021

FASE-CPHG Study: identification of asthma phenotypes in the French Severe Asthma Study using cluster analysis.

Chantal Raherison-Semjen, Eric Parrat, Cécilia Nocent-Eijnani, Gilles Mangiapan, Anne Prudhomme, Jean-Philippe Oster, Corinne Aperre de Vecchi, Cyril Maurer, Didier Debieuvre, Laurent Portel and 1 more

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Respiratory research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. 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

11 authors at 8 institutions in 2 countries.

Chantal Raherison-SemjenGroupe Hospitalier Sud, Hôpital Haut-Lévêque CHU Bordeaux, Pessac, France. Chantal.raherison@chu-bordeaux.fr.ORCID http://orcid.org/0000-0003-0015-2883
Eric ParratCentre Hospitalier de Polynésie Française, Hôpital du Taaone, Papeete, French Polynesia.
Cécilia Nocent-EijnaniCentre Hospitalier de la Côte Basque, Bayonne, France.
Gilles MangiapanService de Pneumologie, Centre Hospitalier Intercommunal de Créteil, Créteil, France.
Anne PrudhommeClinique Médicale et Cardiologique d'Aressy, Pau, France.
Jean-Philippe OsterService de Pneumologie, Centre Hospitalier Louis Pasteur, Colmar, France.
Corinne Aperre de VecchiCentre Hospitalier d'Argenteuil, Argenteuil, France.
Cyril MaurerGHI Montfermeil, Montfermeil, France.
Didier DebieuvreService de Pneumologie, Groupe Hospitalier de la Région Mulhouse Sud-Alsace, Hôpital Émile Muller, Mulhouse, France.
Laurent PortelCentre Hospitalier Robert Boulin de Libourne, Site Robert Boulin, Libourne, France.
CPHG (College of French Non-academic Hospitals)
Centre Hospitalier de la Côte Basque · FRCentre Hospitalier Victor Dupouy · FRGroupe Hospitalier de la Région de Mulhouse et Sud Alsace · FRGroupe Hospitalier Intercommunal Le Raincy Montfermeil · FRHôpital Intercommunal de Créteil · FRHôpital Pasteur · FRUniversité de Bordeaux · FRUniversity of French Polynesia · PF

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn France, data regarding epidemiology and management of severe asthma are scarce. The objective of this study was to describe asthma phenotypes using a cluster analysis in severe asthmatics recruited in a real world setting.

methodsThe study design was prospective, observational and multicentric. The patients included were adults with severe asthma (GINA 4-5) followed-up in French Non Academic Hospital between May 2016 and June 2017. One hundred and seven physicians included 1502 patients. Both sociodemographic and clinical variables were collected. Hierarchical cluster analysis was performed by the Ward method followed by k-means cluster analysis on a population of 1424 patients.

resultsFive clusters were identified: cluster 1 (n = 690, 47%) called early onset allergic asthma (47.5% with asthma before 12 years), cluster 2 (n = 153, 10.5%): obese asthma (63.5% with BMI > 30 kg/m

conclusionsIn our population of adults with severe asthma followed by pulmonologists, five distinct phenotypes were identified and are quite different from those mentioned in previous studies.

Indexed as

AdolescentAdultAge of OnsetAsthmaAsthma, Aspirin-InducedBody Mass IndexChildCluster AnalysisComorbidityEosinophiliaFemaleForced Expiratory VolumeFranceHumansLungMaleCluster analysisPhenotypesSevere asthma

Identifiers

PMID33947403
PMCPMC8097842
OpenAlexW3157731742

What OpenQuestion holds

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LicenceCC BY
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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.