SynthesisJournal of the European Academy of Dermatology and Venereology : JEADV2026
Biomarkers for therapeutic response and adverse outcomes in atopic dermatitis: A systematic review.
Synthesis in Journal of the European Academy of Dermatology and Venereology : JEADV, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Biomarkers for therapeutic response and adverse outcomes in atopic dermatitis: A systematic review.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026Pooled it
- Future Integration of Biomarkers for Inflammatory Skin Diseases Into Daily Practice: A Survey Among a Multifaceted Group of Patients and Dermatological Care Providers.Experimental dermatology · 2026Article
- Article
- Evaluation of Selected Laboratory Parameters as Predictive Biomarkers of Clinical Response to Dupilumab Therapy in Patients with Atopic Dermatitis.Biomedicines · 2026Article
- Biomarkers in atopic dermatitis: Current evidence and unmet needs.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
INTRODUCTION AND
objectivesAtopic dermatitis (AD) is a chronic, inflammatory cutaneous disease characterized by intense itch that affects approximately 20% of children and up to 10% of adults. Our systematic review aims to identify biomarkers with clinical significance for predicting response to systemic therapies and treatment-related adverse events (AEs) for AD patients. MATERIALS AND
methodsA systematic search was conducted across the electronic databases Embase and MEDLINE from database inception to September 2024. All records were independently screened at both the title/abstract and full-text stages. Included articles were randomized controlled trials, cohort studies or case-control studies that reported relevant data for investigating associations between biomarkers and disease progression and/or change in disease activity over time. All discrepancies at any stage were resolved through adjudication by a senior reviewer.
resultsWe identified 28 papers evaluating biomarkers for treatment response and 11 for AEs. Across treatment response studies, biomarkers investigated included IgE, eosinophils, LDH, TARC, cytokines, genetic variants and the skin microbiome. Most studies investigated the association between biomarkers and dupilumab, while studies reporting associations between biomarkers and AEs were limited to dupilumab-related conjunctivitis and ocular surface disease (DAOSD). The primary findings on treatment response were inconsistent, demonstrating that while elevated LDH was associated with poorer response to dupilumab, neither IgE nor eosinophil count showed consistent predictive value. Regarding the association between biomarkers and AEs, IgE was identified as the most promising predictor of DAOSD.
conclusionsPredicting therapeutic responses and identifying patients at risk of developing AEs will be increasingly important with an expanding range of treatment options for AD. Finding robust predictive biomarkers for AD, however, is complicated by its clinical heterogeneity and multifactorial aetiology. Collaborative projects, such as BIOMAP, hold great potential to advance precision medicine and enhance individualized care.
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