ArticleFrontiers in immunology2021
Predicting the Risk of Psoriatic Arthritis in Plaque Psoriasis Patients: Development and Assessment of a New Predictive Nomogram.
Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Real-World Evidence for Ixekizumab in the Treatment of Psoriasis, Psoriatic Arthritis, and Axial Spondyloarthritis: Systematic Literature Review 2022-2023.Advances in therapy · 2025Pooled it
- Strategies for Optimal Use of Biological Therapies in Managing Psoriasis: Focus on Secukinumab.Dermatology and therapy · 2025Article
- Guselkumab Retention, Effectiveness, and Safety in Psoriasis: A 260-Week Real-World Multicenter Retrospective Study Exploring the Role of Concomitant PsA-IL PSO (Italian Landscape Psoriasis).Dermatology and therapy · 2025Article
- Clinical and Ultrasonographic Assessment of Nail Psoriasis: A Comprehensive Study.Dermatology practical & conceptual · 2025Article
- Pan-cancer and multiomics: advanced strategies for diagnosis, prognosis, and therapy in the complex genetic and molecular universe of cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025Review
- Risk prediction model for psoriatic arthritis: NHANES data and multi-algorithm approach.Clinical rheumatology · 2025Article
- The role of SIRT1 in kidney diseases.International urology and nephrology · 2025Review
- Review
- A large-scale retrospective study in China explores risk factors for disease severity in plaque psoriasis.Scientific reports · 2024Article
- Oral microbiota diversity in moderate to severe plaque psoriasis, nail psoriasis and psoriatic arthritis.Scientific reports · 2024Article
- From Psoriasis to Psoriatic Arthritis: Decoding the Impact of Treatment Modalities on the Prevention of Psoriatic Arthritis.Rheumatology and therapy · 2024Article
- The role of SWI/SNF complexes in digestive system neoplasms.Medical oncology (Northwood, London, England) · 2024Review
- Article
- Article
- Psoriatic arthritis in psoriasis: optimizing the current screening system for psoriatic arthritis based on serum data from U.S. and Chinese populations.Frontiers in immunology · 2024Article
- Diagnosis and management of gastrointestinal SMARCA4-deficient undifferentiated tumors.Clinical journal of gastroenterology · 2023Article
- Inflammation and Psoriasis: A Comprehensive Review.International journal of molecular sciences · 2023Review
- Artesunate targets cellular metabolism to regulate the Th17/Treg cell balance.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2023Review
- Predicting the Risk of Nail Involvement in Psoriasis Patients: Development and Assessment of a Predictive Nomogram.Diagnostics (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This study aimed to develop a risk of psoriatic arthritis (PsA) predictive model for plaque psoriasis patients based on the available features. Methods: Patients with plaque psoriasis or PsA were recruited. The characteristics, skin lesions, and nail clinical manifestations of the patients have been collected. The least absolute shrinkage was used to optimize feature selection, and logistic regression analysis was applied to further select features and build a PsA risk predictive model. Calibration, discrimination, and clinical utility of the prediction model were evaluated by using the calibration plot, C-index, the area under the curve (AUC), and decision curve analysis. Internal validation was performed using bootstrapping validation. The model was subjected to external validation with two separate cohorts. Results: Age at onset, duration, nail involvement, erythematous lunula, onychorrhexis, oil drop, and subungual hyperkeratosis were presented as predictors to perform the prediction nomogram. The predictive model showed good calibration and discrimination (C-index: 0.759; 95% CI: 0.707-0.811). The AUC of this prediction model was 0.7578092. Excellent performances of the C-index were reached in the internal validation and external cohort validation (0.741, 0.844, and 0.845). The decision curve indicated good effect of the PsA nomogram in guiding clinical practice. Conclusion: This novel PsA nomogram could assess the risk of PsA in plaque psoriasis patients with good efficiency.
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