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Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens
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Population-Based and Routinely Collected Health Data Studies of Immunobullous Diseases: A Scoping Review.

Heather J Zhao1, Vince Wu1, Michelle Gandelman1

  • 1Faculty of Medicine, University of Toronto, ON, Canada.

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|April 25, 2026
PubMed
Summary

Most autoimmune blistering disease (AIBD) studies use administrative codes, not validated definitions. Standardizing validation is key for accurate AIBD epidemiology research.

Keywords:
immunobullouspemphigoidpemphigusroutinely collected datavalidation

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Area of Science:

  • Dermatology
  • Epidemiology
  • Health Informatics

Background:

  • Validated case definitions are crucial for reliable epidemiological research using routinely collected health data.
  • Variability in case definitions for autoimmune blistering diseases (AIBDs) may limit the generalizability of findings.

Purpose of the Study:

  • To describe AIBD definitions used in population-based epidemiologic studies.
  • To determine if these definitions have been validated.

Main Methods:

  • Searched MEDLINE and Embase for epidemiologic studies on pemphigoid, pemphigus, dermatitis herpetiformis (DH), epidermolysis bullosa acquisita (EBA), and linear IgA bullous dermatosis (LABD).
  • Included studies reporting case definitions using routinely collected data.
  • Two reviewers independently screened studies and extracted data.

Main Results:

  • Ninety-two studies met inclusion criteria.
  • Most studies for pemphigoid and pemphigus used International Classification of Diseases (ICD) codes or electronic medical records.
  • Few studies reported validated case definitions, with validation methods varying across AIBDs; EBA and LABD studies lacked formal validation.

Conclusions:

  • Population-based AIBD studies predominantly use administrative coding or electronic medical records, with limited use of formally validated case definitions.
  • Improving and standardizing validation practices is essential to enhance the accuracy and comparability of epidemiological findings in AIBDs.