ReviewActa dermato-venereologica2020
Prevention of Atopic Dermatitis.
Review in Acta dermato-venereologica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 39 citations in OpenAlex.
- Emollient application from birth to prevent eczema in high-risk children: the BEEP RCT.Health technology assessment (Winchester, England) · 2024Trial
- Article
- Editorial: Atopic march and atopic multimorbidity.Frontiers in allergy · 2026Article
- Flow mediated skin fluorescence to assess microcirculation in patients with atopic dermatitis.Postepy dermatologii i alergologii · 2025Article
- Nepetin Attenuates Atopic Dermatitis in HaCaT Cells and BALB/c Mice through MyD88-MKK3/6-Akt Signaling.Current medicinal chemistry · 2025Article
- Review
- Article
- Mini-Review on Vitamin D in Pediatric Population and its Role in Respiratory and Atopic Disorders.Mini reviews in medicinal chemistry · 2024Review
- Nutritional Supplements for Skin Health-A Review of What Should Be Chosen and Why.Medicina (Kaunas, Lithuania) · 2023Review
- Primary Prevention of Canine Atopic Dermatitis: Breaking the Cycle-A Narrative Review.Veterinary sciences · 2023Review
- The Current Status of Prolonged Breastfeeding and Its Related Factors in Korean Infants and Their Mothers: A Nationwide Cross-Sectional Study.Journal of Korean medical science · 2023Article
- Novel Interactions of Myristic Acid andNutrients · 2022Article
- Targeting therapeutic approaches and highlighting the potential role of nanotechnology in atopic dermatitis.Environmental science and pollution research international · 2022Review
- The State of Prevention of Atopic Dermatitis: An Updated Review.Pediatric dermatologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite advances in atopic dermatitis (AD) treatments, research into AD prevention has been slow. Systematic reviews of prevention strategies promoting exclusive and prolonged breastfeeding, or interventions that reduce ingested or airborne allergens during pregnancy and after birth have generally not shown convincing benefit. Maternal/infant supplements such as Vitamin D have also not shown any benefit with the possible exception of omega-3 fatty acids. Systematic reviews suggest that probiotics could reduce AD incidence by around 20%, although the studies are quite variable and might benefit from individual patient data meta-analysis. Skin barrier enhancement from birth to prevent AD and food allergy has received recent interest, and results from national trials are awaited. It is possible that trying to influence major immunological changes that characterise AD at birth through infant-directed interventions may be too late, and more attention might be directed at fetal programming in utero.
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.