Evidence map›Paper›PMID 36457676›Full record

ArticlePostepy dermatologii i alergologii2022

Analysis of selected genetic variants in psoriasis susceptibility and response to treatment.

Damian Malinowski, Monika Białecka, Piotr Bojko, Adriana Kiszkielis, Marek Droździk, Mateusz Kurzawski

Open access · goldAbstract read
In one paragraph

Article in Postepy dermatologii i alergologii, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 53% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Damian MalinowskiDepartment of Pharmacokinetics and Therapeutic Drug Monitoring, Pomeranian Medical University, Szczecin, Poland.
Monika BiałeckaDepartment of Pharmacokinetics and Therapeutic Drug Monitoring, Pomeranian Medical University, Szczecin, Poland.
Piotr BojkoAesthetic Dermatology Centre "Hippocrates", Szczecin, Poland.
Adriana KiszkielisThe 2 Department of Ophthalmology, Pomeranian Medical University, Szczecin, Poland.
Marek DroździkDepartment of Experimental and Clinical Pharmacology, Pomeranian Medical University, Szczecin, Poland.
Mateusz KurzawskiDepartment of Experimental and Clinical Pharmacology, Pomeranian Medical University, Szczecin, Poland.
Pomeranian Medical University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Aetiology of psoriasis is complex with risk factors involving both environmental triggers and genetic background. Although the best characterized genetic risk factor for psoriasis is HLA-C*06 allele, a number of other variants were associated with the disease. Aim: In the current paper we have conducted a confirmation study for SNPs located in 9 gene regions in a case-control analysis of 507 psoriatic patients and 396 controls from the Polish population. Material and methods: Subsequently the impact of genetic variants on response to topical and NB-UVB therapy (reduction in the Psoriasis Area and Severity Index) was analysed. Results: Significant differences in genotype and/or allelic frequency were observed for the following SNPs: rs33980500 (TRAF3IP2), rs582757 (TNFAIP3I), rs12188300 (IL12B), rs28998802 (NOS2), and rs2233278 (TNIP1). None of the genetic factors was associated with treatment outcome. Conclusions: Although the genetic variants have an impact on the disease risk, they are unlikely to be useful in personalization of topical therapy.

Indexed as

NB-UVBpsoriasisSNP

Identifiers

PMID36457676
PMCPMC9704458
OpenAlexW4310639947

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.