Journal article : Review
The path to interception in psoriatic disease: from conceptual clarity to clinical translation
- Abstract:
- Psoriatic arthritis develops in up to one-third of individuals with psoriasis, typically following a prolonged subclinical phase. Diagnostic delays are common, often exceeding 2 years, and can result in irreversible joint damage. The growing recognition of this latent period has fuelled interest in earlier identification and interception. However, efforts are hampered by inconsistent definitions of early or subclinical psoriatic arthritis, insufficient prognostic tools, and an absence of consensus on the outcome for interception studies. This Review synthesises a rapidly evolving field, offering a framework organised around four crucial questions: first, what defines progression from psoriasis to psoriatic arthritis? Second, who is most at risk of transition? Third, how can progression be reliably measured using imaging, molecular biomarkers, or digital health technologies? Fourth, when should preventive intervention be considered? We critically examine new conceptual models, the limitations of existing classification criteria, advances in imaging and biomarker research, and the promise of digital phenotyping. Addressing the current challenges in definitions, risk stratification, measurement, and trial design is essential for the development of biologically grounded, ethically robust interception strategies.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
-
-
(Preview, Accepted manuscript, pdf, 215.9KB, Terms of use)
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- Publisher copy:
- 10.1016/s2665-9913(25)00348-0
Authors
+ National Institute for Health and Care Research
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- Funder identifier:
- https://ror.org/0187kwz08
- Grant:
- NIHR304262
+ Innovative Medicines Initiative
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- Funder identifier:
- https://ror.org/019af4n30
- Publisher:
- Elsevier
- Journal:
- Lancet Rheumatology More from this journal
- Volume:
- 8
- Issue:
- 3
- Pages:
- e217-e227
- Place of publication:
- England
- Publication date:
- 2026-01-23
- Acceptance date:
- 2025-12-02
- DOI:
- EISSN:
-
2665-9913
- Pmid:
-
41587560
- Language:
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English
- Subtype:
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Review
- Pubs id:
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2368778
- Local pid:
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pubs:2368778
- Deposit date:
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2026-05-25
- ARK identifier:
Terms of use
- Copyright holder:
- Elsevier Ltd
- Copyright date:
- 2025
- Rights statement:
- © 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
- Notes:
- The author accepted manuscript (AAM) of this paper has been made available under the University of Oxford's Open Access Publications Policy, and a CC BY public copyright licence has been applied.
- Licence:
- CC Attribution (CC BY)
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