SynthesisExpert reviews in molecular medicine2026
A Systematic Review of Autoimmunity in 22q11.2 Deletion Syndrome.
Synthesis in Expert reviews in molecular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Authors and funding
4 authors.
Funding
Abstract
backgroundThe 22q11.2 Deletion Syndrome (22q11DS) is the most common chromosomal microdeletion disorder, characterised by a heterogeneous clinical spectrum including immunodeficiency, autoimmunity, and neuropsychiatric comorbidities. This systematic review critically appraises current evidence on autoimmunity in 22q11DS, fulfilling the need for an unbiased and comprehensive synthesis of the current literature.
methodsAn extensive search was conducted through PubMed, Web of Science, EMBASE, CINAHL, and the Cochrane Library using Boolean combinations of relevant keywords. Qualitative studies, abstracts, conference proceedings and non-English studies were excluded.
resultsA total of 82 peer-reviewed studies published since 1968 were identified. We identified a total of 40 distinct autoimmune conditions involving multiple organ systems. Haematological disorders were most frequently cited, followed by autoimmune thyroid diseases and systemic autoimmune diseases. Less common conditions included coeliac disease, psoriasis, vitiligo, alopecia areata, Raynaud's phenomenon, and vasculitis, while 19 diseases appeared only as single-case reports. Neuropsychiatric manifestations were addressed in 24 studies.
conclusionOur review confirms that autoimmunity is a complication of 22q11DS and highlights the need for epidemiological studies across organ-systems and inclusion of ethnically diverse populations. There was substantial variation in study designs, underscoring the need for more standardised approaches and larger sample sizes.
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