ArticleThe Journal of investigative dermatology2020
Identifying Phenotypes of Atopic Dermatitis in a Longitudinal United States Cohort Using Unbiased Statistical Clustering.
Article in The Journal of investigative dermatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed.
- Artificial intelligence in atopic dermatitis: Current applications and future perspectives.Chinese medical journal · 2026Review
- Artificial intelligence-enabled precision medicine for inflammatory skin diseases.The Journal of investigative dermatology · 2026Review
- Artificial intelligence in pediatric allergy research.European journal of pediatrics · 2024Review
- Artificial Intelligence: A Snapshot of Its Application in Chronic Inflammatory and Autoimmune Skin Diseases.Life (Basel, Switzerland) · 2024Review
- Disease modification in inflammatory skin disorders: opportunities and challenges.Nature reviews. Drug discovery · 2023Review
- The financial burden of out-of-pocket healthcare expenses on caregivers of children with atopic dermatitis in the United States.Skin health and disease · 2023Article
- Uncommon variants in FLG2 and TCHHL1 are associated with remission of atopic dermatitis in a large longitudinal US cohort.Archives of dermatological research · 2022Article
- Evaluating the Longitudinal Course of Atopic Dermatitis: Implications for Clinical Practice.American journal of clinical dermatology · 2022Review
- Time Trends in the Prevalence of Atopic Dermatitis in Korean Children According to Age.Allergy, asthma & immunology research · 2022Article
- Using a Machine Learning Approach to Identify Low-Frequency and RareJID innovations : skin science from molecules to population health · 2021Article
- Immunological Aspects of Skin Aging in Atopic Dermatitis.International journal of molecular sciences · 2021Review
- TSLP and IL-7R Variants Are Associated with Persistent Atopic Dermatitis.The Journal of investigative dermatology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
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.