ArticleJournal of personalized medicine2020
Apremilast Pharmacogenomics in Russian Patients with Moderate-to-Severe and Severe Psoriasis.
Article in Journal of personalized medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 15 citations in OpenAlex.
- Exploring biomarkers for treatment response in psoriatic arthritis: a focus on multi-omics technologies.The pharmacogenomics journal · 2026Review
- Association of skin microbiome with interleukin-23 in patients with plaque psoriasis.Postepy dermatologii i alergologii · 2025Article
- Plasma Cytokines for the Prediction of the Effectiveness of TNFα Inhibitors Etanercept, Infliximab, and Adalimumab in the Treatment of Psoriasis.Journal of clinical medicine · 2024Article
- Article
- Genetic Influence on Treatment Response in Psoriasis: New Insights into Personalized Medicine.International journal of molecular sciences · 2023Review
- Pharmacogenomics on the Treatment Response in Patients with Psoriasis: An Updated Review.International journal of molecular sciences · 2023Review
- Pharmaco-Omics in Psoriasis: Paving the Way towards Personalized Medicine.International journal of molecular sciences · 2023Review
- Towards Personalized Medicine in Psoriasis: Current Progress.Psoriasis (Auckland, N.Z.) · 2022Review
- Pharmacogenomics: An Update on Biologics and Small-Molecule Drugs in the Treatment of Psoriasis.Genes · 2021Review
- Ixekizumab May Improve Renal Function in Psoriasis.Healthcare (Basel, Switzerland) · 2021Article
- The Use of Apremilast in Psoriasis: An Indian Perspective on Real-World Scenarios.Psoriasis (Auckland, N.Z.) · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
One of the target drugs for plaque psoriasis treatment is apremilast, which is a selective phosphodiesterase 4 (PDE4) inhibitor. In this study, 34 moderate-to-severe and severe plaque psoriasis patients from Russia were treated with apremilast for 26 weeks. This allowed us to observe the effectiveness of splitting patient cohorts based on clinical outcomes, which were assessed using the Psoriasis Area Severity Index (PASI). In total, 14 patients (41%) indicated having an advanced outcome with delta PASI 75 after treatment; 20 patients indicated having moderate or no effects. Genome variability was investigated using the Illumina Infinium Global Screening Array. Genome-wide analysis revealed apremilast therapy clinical outcome associations at three compact genome regions with undefined functions situated on chromosomes 2, 4, and 5, as well as on a single single-nucleotide polymorphism (SNP) on chromosome 23. Pre-selected SNP sets were associated with psoriasis vulgaris analysis, which was used to identify four SNP-associated targeted therapy efficiencies:
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.