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NCT06790940
Construction of a Psoriasis and Psoriatic Arthritis Diagnostic Model Based on Multidimensional Nail Information
trial testing No intervention in Psoriasis (PsO) in 310 participants. Not yet recruiting.
1 December 2026
Quick facts
| Lead sponsor | Shanghai Yueyang Integrated Medicine Hospital |
|---|---|
| Status | Not yet recruiting |
| Study type | OBSERVATIONAL |
| Enrollment | 310 |
| Start date | 20 January 2025 |
| Primary completion | 1 December 2026 |
| Estimated completion | 1 December 2026 |
Drugs / interventions tested
- No intervention
Conditions studied
- Psoriasis (PsO) — all drugs for Psoriasis (PsO) →
- Psoriatic Arthritis — all drugs for Psoriatic Arthritis →
- Palmoplantar Pustulosis (PPP) — all drugs for Palmoplantar Pustulosis (PPP) →
- Plaque Psoriasis — all drugs for Plaque Psoriasis →
Sponsor
Shanghai Yueyang Integrated Medicine Hospital
Who can join
Adults 18 to 80, any sex, with Psoriasis (PsO) or Psoriatic Arthritis. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
Psoriasis is a globally prevalent chronic relapsing skin disease, characterized by its long duration and tendency to relapse. In addition to skin symptoms, it can also affect nails and joints, leading to pathological features such as pitting, leukonychia, red lunula, or severe nail dystrophy. Some patients with psoriasis may develop psoriatic arthritis. Psoriatic arthritis (PsA) is a chronic relapsing musculoskeletal disease, characterized by psoriatic skin lesions accompanied by axial and peripheral joint damage, and often associated with characteristic manifestations of psoriatic nails. These nail changes typically indicate more severe disease and poorer prognosis. However, current diagnostic methods largely depend on the experience and professional knowledge of clinicians, which are subjective and uncertain. Moreover, histopathological examination is invasive and can cause additional pain and inconvenience to patients. To develop an effective, convenient, and non-invasive early diagnostic tool for psoriasis, our research team has conducted in-depth studies in the field of psoriasis-related diagnosis and predictive models. We have successfully developed a predictive model for psoriatic arthritis, including six key predictive factors: history of joint swelling, history of arthritis, history of swelling and pain in fingers or toes, nail involvement, genital involvement, and a history of long-term local use of corticosteroids. Clinicians can effectively assess the risk of psoriatic arthritis by obtaining information about these six factors from patients. The paper "Early detection of psoriatic arthritis in patients with psoriasis: construction of a multifactorial prediction model" was published in Front. Immunol (DOI: 10.3389/fimmu.2024.1426127). Raman spectroscopy is a rapid, non-invasive molecular vibration detection method that has shown great potential in medical diagnostics. Studies have shown that Raman spectroscopy can distinguish normal and abnormal tissues at the molecular level and has been proven feasible in nail testing. For psoriasis, a disease that causes significant nail changes, Raman spectroscopy offers unique advantages. Based on this background, our project will conduct a prospective observational study on psoriasis and psoriatic arthritis using multidimensional nail data. We will integrate Raman spectroscopy data of nails and multidimensional clinical information and apply artificial intelligence algorithms to develop a new diagnostic tool for psoriasis and psoriatic arthritis. This tool aims to improve the accuracy and efficiency of diagnosis, providing strong support for the early detection and precise treatment of psoriasis and psoriatic arthritis.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT06790940
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Trials by the same sponsor.
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT06790940 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Shanghai Yueyang Integrated Medicine Hospital
- Last refreshed: 24 January 2025
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