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Rethinking Table 1.

Ralph I Horwitz1, Gabriella Lobitz2, McKayla Mawn2

  • 1Department of Medicine, Temple University Lewis Katz School of Medicine, Philadelphia, PA.

Journal of Clinical Epidemiology
|November 20, 2021
PubMed
Summary
This summary is machine-generated.

Biographical factors like age, sex, and race/ethnicity are often viewed as biological but represent lived experiences. Recognizing these biographical elements is crucial for advancing personalized medicine and understanding disease risk and treatment response.

Keywords:
Biosocial medicineClinical epidemiologySocial determinants of health

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Area of Science:

  • Clinical and translational medicine
  • Biomedical research

Background:

  • Standard clinical studies compare groups using demographic variables like age, sex, and race/ethnicity.
  • These variables are often oversimplified as purely biological, neglecting their biographical and experiential components.

Purpose of the Study:

  • To highlight the importance of biographical features beyond biological classification in clinical research.
  • To advocate for a more nuanced understanding of demographic variables for personalized medicine.

Main Methods:

  • Conceptual analysis of demographic data in clinical and translational medicine.
  • Review of the implications of treating demographic factors as solely biological versus biographical.

Main Results:

  • Age, sex, and race/ethnicity represent complex biographical elements reflecting lived experiences.
  • Current practices may limit the potential of personalized medicine by not fully capturing these nuances.

Conclusions:

  • Integrating a biographical perspective on demographic variables is essential for advancing personalized medicine.
  • A deeper understanding of lived experience is key to tailoring disease risk and treatment strategies.