Predictors of clinical response to biologics in psoriasis: A systematic review and meta-analysis.

J Eur Acad Dermatol VenereolApr 17, 2026 (epub)
Clinical ResearchDermatologyOpen access

Xuerui Mao, Shuo Meng, Panyu Wu et al.

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In 30 seconds

This systematic review and meta-analysis examined predictors of biologic efficacy in psoriasis, analyzing data from 30 studies involving 13,902 patients. Key findings indicate that older age, higher body mass index, comorbidities, and involvement of special areas negatively impact treatment response, while a positive family history is associated with improved outcomes.

Key findings

  • Older age is a negative predictor of clearance (OR 0.99, 95% CI 0.98-0.99, p < 0.001).
  • Higher body mass index negatively affects treatment response (OR 0.94, 95% CI 0.92-0.97, p < 0.001).
  • Comorbidities are linked to poorer biologic response (OR 0.75, 95% CI 0.63-0.9, p = 0.002).
  • A positive family history is associated with better treatment outcomes (OR 1.42, 95% CI 1.18-1.71, p < 0.001).

Why it matters

Understanding predictors of response to biologics in psoriasis can enhance treatment personalization, allowing clinicians to better stratify patients based on their likelihood of achieving skin clearance and optimize therapeutic strategies.

Source

Published in J Eur Acad Dermatol Venereol. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

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