Evidence map›Paper›PMID 30343350›Full record

ArticleDermatology and therapy2018

Clinical and Genetic Risk Factors Associated with Psoriatic Arthritis among Patients with Psoriasis.

Di Yan, Richard Ahn, Stephen Leslie, Wilson Liao

Open access · goldAbstract read
In one paragraph

Article in Dermatology and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
2.2field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Impact of smoking on psoriasis risk and treatment efficacy: a meta-analysis.The Journal of international medical research · 2020
    Pooled it
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  16. Evaluation of a Genetic Risk Score for Diagnosis of Psoriatic Arthritis.Journal of psoriasis and psoriatic arthritis · 2020
    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

4 authors at 3 institutions in 2 countries.

Di YanDepartment of Dermatology, University of California San Francisco, San Francisco, CA, USA.
Richard AhnDepartment of Microbiology, Immunology and Molecular Genetics, Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, CA, USA.
Stephen LeslieCentre for Systems Genomics, Schools of Mathematics and Statistics, and BioSciences, The University of Melbourne, Melbourne, VIC, Australia.
Wilson LiaoDepartment of Dermatology, University of California San Francisco, San Francisco, CA, USA. wilson.liao@ucsf.edu.ORCID http://orcid.org/0000-0001-7883-6439
University of California, San Francisco · USQB3 · USThe University of Melbourne · AU

Funding

MHC and KIR Region Genomics in PsoriasisU01AI119125 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIAO, WILSON · 2015 to 2019
$3.5M
Identification of Causal Variants in PsoriasisR01AR065174 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIAO, WILSON · 2013 to 2016
$1.8M
NIAID NIH HHS U01 AI119125NIAMS NIH HHS R01 AR065174
6 · The paper itself

Abstract

introductionPsoriatic arthritis (PsA) is a chronic, inflammatory arthritis that affects an estimated 30% of patients with psoriasis. PsA is underdiagnosed in primary care and dermatology clinics due to a variety of reasons, including failure of healthcare providers to ask about symptoms, overlap of symptoms and signs with other rheumatologic conditions, and lack of a specific diagnostic test. A delay in PsA diagnosis and treatment, even as short as 6 months, can lead to decreased quality of life, increased joint damage, and worse long-term physical function. In this study, we sought to identify the clinical and genetic factors that help discriminate patients with PsA from those with cutaneous psoriasis only.

methodsWe analyzed a cohort of 974 psoriasis patients at an academic medical center, of whom 175 had confirmed PsA, and performed univariate, multivariate, and predictive modeling to determine factors associated with PsA.

resultsThe univariate analysis revealed significant positive associations of PsA with age, nail involvement, scalp involvement, skin fold involvement, elbow/knee involvement, psoriasis severity, plaque subtype, erythrodermic subtype, hypertension, type 2 diabetes, and coronary artery disease, and a significant negative association of PsA with the human leukocyte antigen (HLA)-C*06:02 allele. In the multivariate analysis, nail involvement, type 2 diabetes, and pustular psoriasis remained significantly associated with PsA, while HLA-C*06:02 positivity remained protective. There was a trend towards an association of PsA with older age, younger age of psoriasis onset, and skin fold involvement, while there was protective trend for smoking. A predictive model including both clinical and genetic factors showed reasonable discriminative ability between psoriasis and PsA, with an area under the curve of 0.87 for a receiver operating characteristic curve.

conclusionThis study identified a number of clinical and genetic features that could help stratify patients who are at higher risk for having PsA and for whom rheumatology referral may be beneficial.

Indexed as

AssociationDemographicsGeneticsPredictionPsoriasisPsoriatic arthritisRisk

Identifiers

PMID30343350
PMCPMC6261122
OpenAlexW2896402495

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.