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Case-Control Study2007

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:

GroupDiabetes RateP value
Skin tags23%
Controls8.5%<0.01

By skin tag count:

Number of Skin TagsDiabetes Rate
3-515%
6-3026%
>3052%

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:

  1. High insulin stimulating IGF-1 receptors on fibroblasts
  2. Increased fibroblast proliferation
  3. 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

Relevant

Current scientific understanding, often ahead of guidelines

Metabolic Optimization

Relevant

Proactive targets for optimal health, not just disease absence

Study Details

Type
Case-Control Study

Calculate & Evaluate on Metabolicum

Original Source

View on PubMedView DOIFull Text Not Available

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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