ArticleJournal of clinical medicine2023
Predictive Factors of Early Response to Dupilumab in Patients with Moderate-to-Severe Atopic Dermatitis.
Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- 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
- Clinical and inflammatory determinants of successful abrocitinib dose reduction in atopic dermatitis: a real-world cohort study with implications for treatment optimization.Annals of medicine · 2026Article
- Machine-Learning-Based Prediction of Long-Term Efficacy of Nemolizumab: Post Hoc Analysis of Pooled Data from Two Phase III Clinical Trials.Dermatology and therapy · 2026Article
- Short-Term Efficacy of Lebrikizumab Versus Dupilumab in Combination with Topical Corticosteroids in Adults with Moderate-to-Severe Atopic Dermatitis: Matching-Adjusted Indirect Comparison.Dermatology and therapy · 2026Article
- An unbiased tissue transcriptome analysis identifies potential markers for skin phenotypes and therapeutic responses in atopic dermatitis.Nature communications · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Efforts have been made to identify factors influencing clinical response in patients with atopic dermatitis (AD) treated with dupilumab. A retrospective single-center observational study was carried out by analyzing data from 492 patients aged 12 years and older with moderate-to-severe AD. The study aimed to identify baseline demographic and clinical factors that could predict the achievement of a mild level of disease, i.e., an Eczema Area and Severity Index (EASI) ≤ 7, within 4 weeks from dupilumab initiation. Classic, generalized lichenoid and inflammatory phenotypes compared with a nummular eczema phenotype (OR = 6.9, 95% CI 2.04-23.48 and OR = 4.22, 95% CI 1.22-14.66, respectively) and a baseline EASI ≤ 24 and between 24-29, compared with a baseline EASI ≥ 29 (OR = 3.1, 95% CI 1.81-5.41 and OR = 1.8, 95% CI 1.05-3.07, respectively), were found to be predictive factors of early response to dupilumab, highlighting the importance of early biological treatment of AD.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.