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      Bidirectional association between atopic dermatitis and attention deficit hyperactivity disorder: a systematic review and meta-analysis

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          Abstract

          Background

          Our objective is to elucidate the reciprocal association between atopic dermatitis (AD) and attention deficit hyperactivity disorder (ADHD) by prespecified subgroups and determine potential modified factors.

          Materials and Methods

          Adhering to PRISMA 2020, we conducted a comprehensive database search up until March 11, 2024. Observational studies reporting on AD and ADHD as either exposure or outcome variables were included. A random-effects model meta-analysis was conducted to calculate pooled estimates. Subgroup and meta-regression analyses were undertaken to explore heterogeneity. Publication bias was investigated via funnel plots and Egger’s test.

          Results

          Overall, 49 studies were determined to meet the inclusion criteria after rigorous screening. Patients with AD were more likely to have ADHD (ORs = 1.34, 95% CI 1.25–1.44, p < 0.01; HRs = 1.42, 95% CI 1.20–1.68, p < 0.01), while patients with ADHD also had an increased risk of developing AD (ORs = 1.45, 95% CI 1.21–1.73, p < 0.01). Subgroup analyses indicated that the associations were particularly pronounced among studies that assessed patients with severe AD (ORs = 2.62, 95% CI 1.76–3.92, p < 0.01), suffered from multiple allergic conditions (ORs = 2.89, 95% CI 1.18–7.10, p < 0.01) and sleep disturbances (ORs = 2.43, 95% CI 2.14–2.76, p < 0.01) simultaneously.

          Conclusion

          This review substantiates the significant bidirectional association between AD and ADHD, indicating that they serve as mutually independent risk factors and may either exacerbate each other. These findings underscore the necessity for heightened awareness and early targeted interventions, especially in individuals with severe AD manifestations, sleep problems, and multiple allergic diseases.

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          Most cited references104

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          The PRISMA 2020 statement: an updated guideline for reporting systematic reviews

          The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why the review was done, what the authors did, and what they found. Over the past decade, advances in systematic review methodology and terminology have necessitated an update to the guideline. The PRISMA 2020 statement replaces the 2009 statement and includes new reporting guidance that reflects advances in methods to identify, select, appraise, and synthesise studies. The structure and presentation of the items have been modified to facilitate implementation. In this article, we present the PRISMA 2020 27-item checklist, an expanded checklist that details reporting recommendations for each item, the PRISMA 2020 abstract checklist, and the revised flow diagrams for original and updated reviews.
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            Bias in meta-analysis detected by a simple, graphical test

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              Quantifying heterogeneity in a meta-analysis.

              The extent of heterogeneity in a meta-analysis partly determines the difficulty in drawing overall conclusions. This extent may be measured by estimating a between-study variance, but interpretation is then specific to a particular treatment effect metric. A test for the existence of heterogeneity exists, but depends on the number of studies in the meta-analysis. We develop measures of the impact of heterogeneity on a meta-analysis, from mathematical criteria, that are independent of the number of studies and the treatment effect metric. We derive and propose three suitable statistics: H is the square root of the chi2 heterogeneity statistic divided by its degrees of freedom; R is the ratio of the standard error of the underlying mean from a random effects meta-analysis to the standard error of a fixed effect meta-analytic estimate, and I2 is a transformation of (H) that describes the proportion of total variation in study estimates that is due to heterogeneity. We discuss interpretation, interval estimates and other properties of these measures and examine them in five example data sets showing different amounts of heterogeneity. We conclude that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity. One or both should be presented in published meta-analyses in preference to the test for heterogeneity. Copyright 2002 John Wiley & Sons, Ltd.
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                Author and article information

                Journal
                Ann Med
                Ann Med
                Annals of Medicine
                Taylor & Francis
                0785-3890
                1365-2060
                30 March 2025
                2025
                30 March 2025
                : 57
                : 1
                : 2483370
                Affiliations
                [a ]First School of Clinical Medicine, Zhejiang Chinese Medicine University , Hangzhou, China
                [b ]Center of Clinical Evaluation and Analysis, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine) , Hangzhou, China
                [c ]The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine) , Hangzhou, China
                Author notes
                [*]

                These authors contributed equally to this work.

                Qiu-Shuang Li 20163057@ 123456zcmu.edu.cn The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine) , 54 Youdian Road, Hangzhou 310006, China.
                Author information
                https://orcid.org/0009-0001-8950-6061
                https://orcid.org/0000-0001-5176-3719
                Article
                2483370
                10.1080/07853890.2025.2483370
                11960313
                40159827
                2413eb79-c410-43f8-b0b9-c05b1489e12f
                © 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.

                History
                Page count
                Figures: 3, Tables: 2, Pages: 17, Words: 9345
                Categories
                Research Article
                Dermatology

                Medicine
                atopic dermatitis,attention deficit/hyperactivity disorder,systematic review,meta-analysis, neuropsychiatric comorbidity

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