ArticleAnnals of dermatology2020
Validity of Diagnostic Codes for Identification of Psoriasis Patients in Korea.
Article in Annals of dermatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Psoriasis and Risk of Colorectal Cancer: A Nationwide Population-Based Cohort Study in Korea.Diseases (Basel, Switzerland) · 2026Article
- Validation of Diagnostic Code Definitions for Identifying Patient in Korean Health Insurance Claims Data: A Scoping Review.Journal of Korean medical science · 2025Article
- Psoriasis as a Potential Risk Factor for Inflammatory Bowel Disease: Findings from a Nationally Representative Korean Population.Biomedicines · 2025Article
- Risk of hematologic malignancies in psoriasis and rheumatoid arthritis patients using long term TNF-α inhibitors: a retrospective nationwide study.Scientific reports · 2025Article
- The risk of interstitial lung disease in psoriatic arthritis versus psoriasis: a retrospective nationwide database analysis (2014-24).Rheumatology advances in practice · 2025Article
- Effect of Biological Therapy for Psoriasis on the Development of Psoriatic Arthritis: A Population-Based Cohort Study.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2025Article
- Association Between Statin Use and Psoriasis in Patients with Dyslipidemia: A Korean National Health Screening Cohort Study.Journal of clinical medicine · 2024Article
- Association Between Natural Hair Color, Race, and Alopecia.Dermatology and therapy · 2024Article
- Evaluating the inpatient burden of antimicrobial resistance in hidradenitis suppurativa hospitalizations: a cross-sectional analysis.Archives of dermatological research · 2024Article
- Cancer risks in patients with psoriasis administered biologics therapy: a nationwide population-based study.Journal of cancer research and clinical oncology · 2023Article
- Risk of incident autoimmune diseases in patients with newly diagnosed psoriatic disease: a nationwide population-based study.Scientific reports · 2023Article
- Association of immune-mediated inflammatory diseases with depression and anxiety in patients with type 2 diabetes: A nationwide population-based study.Frontiers in medicine · 2023Article
- Risks of Comorbidities in Patients With Palmoplantar Pustulosis vs Patients With Psoriasis Vulgaris or Pompholyx in Korea.JAMA dermatology · 2022Article
- Comments on the Risk of Gout in Patients with Psoriasis [Letter].Clinical epidemiology · 2022Article
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRecently, the number of nationwide medical researches on psoriasis using the National Health Insurance Service database has been on the rise. However, identification of psoriasis using diagnostic codes alone can lead to misclassification. Accuracy of the diagnostic codes and their concordance with medical records should be validated first to identify psoriasis patients correctly.
objectiveTo validate the diagnostic codes of psoriasis (International Classification of Diseases, 10th Revision L40) and to find the algorithm for the identification of psoriasis.
methodsWe collected medical records of patients who received their first diagnostic codes of psoriasis during 5 years from five hospitals. Fifteen percent of psoriasis patients were randomly selected from each hospital. We performed a validation by reviewing medical records and compared 5 algorithms to identify the best algorithm.
resultsTotal of 538 cases were reviewed and classified as psoriasis (n=368), not psoriasis (n=159), and questionable (n=11). The most accurate algorithm was including patients with ≥1 visits with psoriasis as primary diagnostic codes and prescription of vitamin D derivatives. Its positive predictive value was 96.5% (95% confidence interval [CI], 93.9%~98.1%), which was significantly higher than those of the algorithm, including patients with ≥1 visits with psoriasis as primary diagnostic codes or including ≥1 visits with diagnostic codes of psoriasis (primary or additional) (91.0% and 69.8%). Sensitivity was 90.8% (95% CI, 87.2%~93.4%) and specificity was 92.5% (95% CI, 86.9%~95.9%).
conclusionOur study demonstrates a validated algorithm to identify psoriasis, which will be useful for the nationwide population-based study of psoriasis in Korea.
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