Evidence map›Paper›PMID 32467098›Full record

SynthesisBMJ (Clinical research ed.)2020

National, regional, and worldwide epidemiology of psoriasis: systematic analysis and modelling study.

Rosa Parisi, Ireny Y K Iskandar, Evangelos Kontopantelis, Matthias Augustin, Christopher E M Griffiths, Darren M Ashcroft, Global Psoriasis Atlas

Registry-linked trialOpen access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ (Clinical research ed.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07366268 (Evaluation of Topical Apremilast Nanoparticles in the Treatment of Plaque Psoriasis), which is not on this map. Cited by 613 papers, 17 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
613citing papers in PubMed, 17 pooled it
41.8field-weighted citation impact, top 1% 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.

NCT07366268 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Evaluation of Topical Apremilast Nanoparticles in the Treatment of Plaque Psoriasis: Clinical, Histopathological and Immunohistochemical Study

TypeinterventionalSponsorAssiut UniversityRan2026 to 2028Enrolled36ConditionsPsoriasisArmsApremilast Nanoformula 0.3٪, betamethasone valerate 0.1% cream
3 · Its place in the literature

Who cites it

613 citing papers in PubMed, 17 syntheses or guidelines pooled it, 1,102 citations in OpenAlex.

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  3. Impact of weight-loss interventions on psoriasis severity: A systematic review and meta-analysis.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026
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  18. Bimekizumab efficacy and safety in Chinese patients with psoriasis in the BE SHINING Phase 3 study.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026
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553 more citing papers are in PubMed but not listed here.

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

7 authors at 3 institutions in 2 countries.

Rosa ParisiDivision of Pharmacy and Optometry, University of Manchester, Manchester, UK rosa.parisi@manchester.ac.uk.ORCID 0000-0002-0968-9153
Ireny Y K IskandarDivision of Pharmacy and Optometry, University of Manchester, Manchester, UK.
Evangelos KontopantelisDivision of Informatics, Imaging & Data Sciences, University of Manchester, Manchester, UK.
Matthias AugustinInstitute of Health Care Research in Dermatology and Nursing, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.
Christopher E M GriffithsDermatology Centre, Salford Royal NHS Foundation Trust, Manchester, UK.
Darren M AshcroftDivision of Pharmacy and Optometry, University of Manchester, Manchester, UK.
Global Psoriasis Atlas
University of Manchester · GBSalford Royal NHS Foundation Trust · GBUniversität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo systematically review and provide information on the incidence of psoriasis and quantify global, regional, and country specific estimates of its prevalence.

designSystematic review and meta-analysis. DATA SOURCES: Medline, Embase, Web of Science, SciELO, Korean Journal Databases, Russian Science Citation Index, WPRIM, SaudiMedLit, Informit, IndMed, and HERDIN were searched systematically from their inception dates to October 2019.

methodsStudies were included if they reported on the incidence or prevalence of psoriasis in the general population. Incidence data were summarised descriptively, whereas bayesian hierarchical models were fitted to estimate the global, regional, and country specific prevalence of psoriasis.

results41 164 records were identified and 168 studies met the inclusion criteria. In adults, the incidence of psoriasis varied from 30.3 per 100 000 person years (95% confidence interval 26.6 to 34.1) in Taiwan to 321.0 per 100 000 person years in Italy. The prevalence of psoriasis varied from 0.14% (95% uncertainty interval 0.05% to 0.40%) in east Asia to 1.99% (0.64% to 6.60%) in Australasia. The prevalence of psoriasis was also high in western Europe (1.92%, 1.07% to 3.46%), central Europe (1.83%, 0.62% to 5.32%), North America (1.50%, 0.63% to 3.60%), and high income southern Latin America (1.10%, 0.36% to 2.96%).

conclusionsEighty one per cent of the countries of the world lack information on the epidemiology of psoriasis. The disease occurs more frequently in adults than in children. Psoriasis is unequally distributed across geographical regions; it is more frequent in high income countries and in regions with older populations. The estimates provided can help guide countries and the international community when making public health decisions on the appropriate management of psoriasis and assessing its natural history over time. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42019160817.

Indexed as

Global HealthAdultChildHumansIncidencePrevalencePsoriasis

Identifiers

PMID32467098
PMCPMC7254147
OpenAlexW3029724060

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.