Evidence map›Paper›PMID 34310791›Full record

ArticleClinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology2021

Atopic dermatitis trajectories to age 8 years in the GUSTO cohort.

Noor H A Suaini, Gaik Chin Yap, Do Phuong Tung Bui, Evelyn Xiu Ling Loo, Anne Eng Neo Goh, Oon Hoe Teoh, Kok Hian Tan, Keith M Godfrey, Bee Wah Lee, Lynette Pei-Chi Shek and 3 more

Open access · greenAbstract read
In one paragraph

Article in Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. 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
  2. Unraveling the Natural History of Atopic Dermatitis: Prospective Disease Trajectories and Longitudinal IgE Sensitization from Birth to Adolescence.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2026
    Article
  3. Current research landscape and future prospects of in silico modeling approaches for atopic dermatitis.JID innovations : skin science from molecules to population health · 2026
    Review
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  13. Prevalence of allergic rhinitis, atopic dermatitis, and wheezing at 15 and 22 years of age: the 1993 Pelotas (Brazil) Birth Cohort Study.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2024
    Article
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  17. Establishing subclasses of childhood eczema, their risk factors and prognosis.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2022
    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

13 authors at 4 institutions in 2 countries.

Noor H A SuainiSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.ORCID 0000-0003-1161-8845
Gaik Chin YapDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore.
Do Phuong Tung BuiDepartment of Architecture, School of Design and Environment, National University of Singapore (NUS), Singapore, Singapore.
Evelyn Xiu Ling LooSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Anne Eng Neo GohAllergy Service, Department of Paediatrics, KK Women's and Children's Hospital (KKH), Singapore, Singapore.
Oon Hoe TeohRespiratory Service, Department of Paediatrics, KK Women's and Children's Hospital (KKH), Singapore, Singapore.
Kok Hian TanDepartment of Maternal Fetal Medicine, KK Women's and Children's Hospital (KKH), Singapore, Singapore.
Keith M GodfreyNIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.
Bee Wah LeeDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore.
Lynette Pei-Chi ShekDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore.
Hugo Van BeverDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore.
Yap Seng ChongSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Elizabeth Huiwen ThamSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.ORCID 0000-0003-1037-6143
National University of Singapore · SGAgency for Science, Technology and Research · SGKK Women's and Children's Hospital · SGUniversity Hospital Southampton NHS Foundation Trust · GB

Funding

British Heart Foundation RG/15/17/31749Medical Research Council MC_PC_21000Medical Research Council MC_PC_21001Medical Research Council MC_PC_21003Medical Research Council MC_UU_12011/4
6 · The paper itself

Abstract

backgroundThe heterogeneity of childhood atopic dermatitis (AD) underscores the need to understand latent phenotypes that may inform risk stratification and disease prognostication.

objectiveTo identify AD trajectories across the first 8 years of life and investigate risk factors associated with each trajectory and their relationships with other comorbidities.

methodsData were collected prospectively from 1152 mother-offspring dyads in the Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort from ages 3 months to 8 years. AD was defined based on parent-reported doctor's diagnosis. An unsupervised machine learning technique was used to determine AD trajectories.

resultsThree AD trajectories were identified as follows: early-onset transient (6.3%), late-onset persistent (6.3%) and early-onset persistent (2.1%), alongside a no AD/reference group (85.2%). Early-onset transient AD was positively associated with male gender, family history of atopy, house dust mite sensitization and some measures of wheezing. Early-onset persistent AD was associated with antenatal/intrapartum antibiotic use, food sensitization and some measures of wheezing. Late-onset persistent AD was associated with a family history of atopy, some measures of house dust mite sensitization and some measures of allergic rhinitis and wheezing. CONCLUSION AND CLINICAL RELEVANCE: Three AD trajectories were identified in this birth cohort, with different risk factors and prognostic implications. Further work is needed to understand the molecular and immunological origins of these phenotypes.

Indexed as

AnimalsChildChild, PreschoolCohort StudiesDermatitis, AtopicDisease ProgressionFemaleHumansInfantMalePhenotypeProspective StudiesPyroglyphidaeRespiratory SoundsRisk FactorsSex Factorsatopic dermatitismachine learningrhinitistrajectorieswheezing

Identifiers

PMID34310791
PMCPMC7611621
OpenAlexW3186058087

What OpenQuestion holds

Textmetadata
LicenceTDM
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.