Rasi 2007: Skin Tags and Diabetes
Rasi et al. • International Journal of Dermatology
Key Finding
Multiple skin tags indicate 3x higher diabetes risk; >30 tags = 52% diabetes
Original title: “Skin tag as a cutaneous marker for impaired carbohydrate metabolism”
Plain English Summary
Case-control study: those with skin tags had 3x higher diabetes prevalence (23% vs 8.5%). More than 30 skin tags associated with 52% diabetes rate.
In-Depth Analysis
Background
Dr. A. Rasi and colleagues published this case-control study in the International Journal of Dermatology (PMID: 17988334), examining skin tags as a cutaneous marker for impaired carbohydrate metabolism.
Study Design
Design: Case-control study Cases: 104 patients with multiple skin tags (≥3) Controls: 98 age/sex-matched patients without skin tags Measurements: Fasting glucose, OGTT, fasting insulin, HOMA-IR Analysis: Prevalence of diabetes and prediabetes between groups
Key Findings
Diabetes prevalence:
| Group | Diabetes Rate | P value |
|---|---|---|
| Skin tags | 23% | — |
| Controls | 8.5% | <0.01 |
By skin tag count:
| Number of Skin Tags | Diabetes Rate |
|---|---|
| 3-5 | 15% |
| 6-30 | 26% |
| >30 | 52% |
Other findings:
- •Mean fasting glucose higher in skin tag group
- •Fasting insulin significantly elevated
- •HOMA-IR elevated (indicating insulin resistance)
Mechanistic Insights
Skin tags develop due to:
- •High insulin stimulating IGF-1 receptors on fibroblasts
- •Increased fibroblast proliferation
- •Growth of skin appendages
They are a visible manifestation of tissue-level hyperinsulinemia.
Clinical Implications
Multiple skin tags on physical exam should prompt:
- •Fasting glucose and insulin testing
- •HOMA-IR calculation
- •HbA1c measurement
- •Metabolic syndrome screening
Cost-effective early detection method.
Metabolic Health Perspective
Skin tags join acanthosis nigricans as physical exam findings that indicate hyperinsulinemia before glucose abnormalities develop. Their presence in normal-weight individuals suggests metabolically obese phenotype requiring evaluation.
Paradigm Relevance
How this study applies to different clinical perspectives:
Standard Medical
Conventional clinical guidelines used by most doctors
Not directly relevant to this paradigm
Research Consensus
RelevantCurrent scientific understanding, often ahead of guidelines
Metabolic Optimization
RelevantProactive targets for optimal health, not just disease absence
Study Details
- Type
- Case-Control Study
Related Biomarkers
Calculate & Evaluate on Metabolicum
Original Source
DOI (Digital Object Identifier) is a permanent link to this publication. Unlike website URLs that can change, a DOI always resolves to the correct source.
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