Evidence map›Paper›PMID 28531273›Full record

ArticleJAMA pediatrics2017

Phenotypes of Atopic Dermatitis Depending on the Timing of Onset and Progression in Childhood.

Caroline Roduit, Remo Frei, Martin Depner, Anne M Karvonen, Harald Renz, Charlotte Braun-Fahrländer, Elisabeth Schmausser-Hechfellner, Juha Pekkanen, Josef Riedler, Jean-Charles Dalphin and 16 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in JAMA pediatrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed, 8 pooled it
21.0field-weighted citation impact, top 1% 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

107 citing papers in PubMed, 8 syntheses or guidelines pooled it, 286 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Gene variants associated with skin barrier dysfunction in atopic dermatitis: a systematic review and meta-analysis.Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo · 2025
    Pooled it
  4. Machine learning-derived asthma and allergy trajectories in children: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2025
    Pooled it
  5. Pooled it
  6. Pooled it
  7. Classifying atopic dermatitis: a systematic review of phenotypes and associated characteristics.Journal of the European Academy of Dermatology and Venereology : JEADV · 2022
    Pooled it
  8. Pooled it
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  16. The age of eczema onset and multiple food allergies.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2026
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  19. Observational
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47 more citing papers are in PubMed but not listed here.

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

26 authors at 14 institutions in 5 countries.

Caroline RoduitUniversity Children's Hospital, Zurich, Switzerland2Christine Kühne Center for Allergy Research and Education, Davos, Switzerland.
Remo FreiChristine Kühne Center for Allergy Research and Education, Davos, Switzerland3Swiss Institute of Allergy and Asthma Research, University of Zurich, Zurich, Switzerland.
Martin DepnerDr von Hauner Children's Hospital, Ludwig Maximilian University, Munich, Germany.
Anne M KarvonenDepartment of Health Security, National Institute for Health and Welfare, Kuopio, Finland.
Harald RenzInstitute for Laboratory Medicine, Pathobiochemistry and Molecular Diagnostics, Philipps University of Marburg, Marburg, Germany.
Charlotte Braun-FahrländerSwiss Tropical and Public Health Institute, Basel, Switzerland8University of Basel, Basel, Switzerland.
Elisabeth Schmausser-HechfellnerDr von Hauner Children's Hospital, Ludwig Maximilian University, Munich, Germany.
Juha PekkanenDepartment of Health Security, National Institute for Health and Welfare, Kuopio, Finland9Department of Public Health, University of Helsinki, Helsinki, Finland.
Josef RiedlerChildren's Hospital Schwarzach, Teaching Hospital Paracelsus Private Medical University Salzburg, Salzburg, Austria.
Jean-Charles DalphinUniversity of Besançon, Department of Respiratory Disease, Unités Mixtes de Recherche/Le Centre National de la Recherche Scientifique 6249 Chrono-environment, University Hospital, Besançon, France.
Erika von MutiusDr von Hauner Children's Hospital, Ludwig Maximilian University, Munich, Germany12Comprehensive Pneumology Center Munich, Member of the German Center for Lung Research, Munich, Germany.
Roger Pascal LauenerChristine Kühne Center for Allergy Research and Education, Davos, Switzerland13Children's Hospital of Eastern Switzerland, St Gallen, Switzerland.
the PASTURE study group
Anne HyvärinenDepartment of Health Security, National Institute for Health and Welfare, Kuopio, Finland.
Pirkka KirjavainenDepartment of Public Health, University of Helsinki, Helsinki, Finland.
Sami RemesUniversity of Kuopio, Kuopio, Finland.
Marjut RoponenUniversity of Eastern Finland, Joensuu, Finland.
Marie-Laure DalphinUniversity of Besançon, Department of Pediatrics, Besançon, France.
Vincent KaulekUniversity of Besançon, Department of Respiratory Disease, Unités Mixtes de Recherche/Le Centre National de la Recherche Scientifique 6249 Chrono-environment, University Hospital, Besançon, France.
Markus EgeComprehensive Pneumology Center Munich, Member of the German Center for Lung Research, Munich, Germany.
Jon GenuneitUlm University, Ulm, Germany.
Sabina IlliAsthma and Allergy Research Group, University of Munich, Munich, Germany.
Micahel KabeschDepartment of Pediatric Pneumology and Allergy, University Children's Hospital Regensburg, Regensburg, Germany.
Bianca SchaubComprehensive Pneumology Center Munich, Member of the German Center for Lung Research, Munich, Germany.
Petra Ina PfefferleComprehensive Biomaterial Bank Marburg, Marburg, Germany.
Gert DoekesUtrecht University, Institue for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology, Utrecht, Germany.
Centre National de la Recherche Scientifique · FRUniversity of Helsinki · FIFinnish Institute for Health and Welfare · FIGerman Center for Lung Research · DELudwig-Maximilians-Universität München · DEUniversität Ulm · DEUniversity Hospital Regensburg · DEUniversity of Eastern Finland · FICK-CARE · CHParacelsus Medical University · ATPhilipps University of Marburg · DESwiss Tropical and Public Health Institute · CHUniversity Children's Hospital Zurich · CHUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Atopic dermatitis is an inflammatory, pruritic skin disease that often occurs in early infancy with a chronic course. However, a specific description of subtypes of atopic dermatitis depending on the timing of onset and progression of the disease in childhood is lacking. Objective: To identify different phenotypes of atopic dermatitis using a definition based on symptoms before age 6 years and to determine whether some subtypes are more at risk for developing other allergic diseases. Design, Setting, and Participants: The Protection Against Allergy Study in Rural Environments (PASTURE) is a European birth cohort where pregnant women were recruited between August 2002 and March 2005 and divided in 2 groups dependent on whether they lived on a farm. Children from this cohort with data on atopic dermatitis from birth to 6 years of age were included. Exposures: Atopic dermatitis, defined as an itchy rash on typical locations from birth to 6 years. Main Outcomes and Measures: The latent class analysis was used to identify subtypes of atopic dermatitis in childhood based on the course of symptoms. Multivariable logistic regressions were used to analyze the association between atopic dermatitis phenotypes and other allergic diseases. Results: We included 1038 children; of these, 506 were girls. The latent class analysis model with the best fit to PASTURE data separated 4 phenotypes of atopic dermatitis in childhood: 2 early phenotypes with onset before age 2 years (early transient [n = 96; 9.2%] and early persistent [n = 67; 6.5%]), the late phenotype with onset at age 2 years or older (n = 50; 4.8%), and the never/infrequent phenotype (n = 825; 79.5%), defined as children with no atopic dermatitis. Children with both parents with history of allergies were 5 times more at risk to develop atopic dermatitis with an early-persistent phenotype compared with children with parents with no history of allergies. Both early phenotypes were strongly associated with food allergy. The risk of developing asthma was significantly increased among the early-persistent phenotype (adjusted odds ratio, 2.87; 95% CI, 1.31-6.31). The late phenotype was only positively associated with allergic rhinitis. Conclusions and Relevance: Using latent class analysis, 4 phenotypes of atopic dermatitis were identified depending on the onset and course of the disease. The prevalence of asthma and food allergy by 6 years of age was strongly increased among children with early phenotypes (within age 2 years), especially with persistent symptoms. These findings are important for the development of strategies in allergy prevention.

Indexed as

ChildChild, PreschoolDermatitis, AtopicDisease ProgressionEuropeFemaleHumansInfantInfant, NewbornLogistic ModelsMalePhenotypePrevalenceTime Factors

Identifiers

PMID28531273
PMCPMC5710337
OpenAlexW2617727916

What OpenQuestion holds

Textmetadata
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.