Evidence map›Paper›PMID 35079184›Full record

ArticleReumatologia2021

Psoriatic arthritis among Egyptian patients with psoriasis attending the dermatology clinic: prevalence, comorbidities, and clinical predictors.

Ayman El-Garf, Doaa Ahmed Teleb, Eman R Said, Mervat Eissa

Open access · diamondAbstract read
In one paragraph

Article in Reumatologia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Review
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 1 institution in 1 country.

Ayman El-GarfRheumatology Department, Cairo University, Egypt.
Doaa Ahmed TelebRheumatology Department, Cairo University, Egypt.
Eman R SaidDermatology Department, Cairo University, Egypt.
Mervat EissaRheumatology Department, Cairo University, Egypt.
Cairo University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEarly diagnosis and treatment of psoriatic arthritis (PsA) help to prevent progressive joint involvement and disabilities. There is a problem in the early diagnosis of PsA worldwide, which may be attributed to the dermatologists missing PsA symptoms and signs and a lack of effective screening tools. AIM OF THE STUDY: The current study was designed to assess the prevalence, comorbidities, and clinical predictors associated with the development of PsA in psoriasis patients. MATERIAL AND

methodsA cross-sectional observational study was performed. Screening questionnaires - the Psoriasis Epidemiology Screening Tool (PEST) and Early Arthritis for Psoriatic Patients (EARP) - were applied to 200 psoriasis patients; among them

resultsThe prevalence of PsA was found to be 30%, with a mean age of 45.48 ±10.79 years. Further, psoriasis preceded the onset of PsA in 46 patients (76.6%), arthritis began before psoriasis in 6 individuals (10%), and both psoriasis and arthritis coincided in 8 (13.3%) patients. Obesity (OR 7.0, 95% CI: 2.61-18.85), nail psoriasis (OR 5.02, 95% CI: 2.02-12.476), and intergluteal cleft site (OR 12.659, 95% CI: 4.302-37.255) were associated with increased risk of PsA. However, classic plaque psoriasis (OR 0.149, 95% CI: 0.051-0.433) and flexure site (OR 0.238, 95% CI: 0.076-0.746) were linked with a decreased risk of PsA development.

conclusionsScreening for PsA in patients with psoriasis revealed a significant number of undiagnosed cases of PsA that should be treated early. Obesity, nail psoriasis, and psoriasis at the intergluteal sites can help predict the PsA development.

Indexed as

clinical predictorsprevalencepsoriasispsoriatic arthritis

Identifiers

PMID35079184
PMCPMC8768037
OpenAlexW4206269309

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.