[Gender differences in the use of tumour markers]

Rev Calid Asist. 2015 Nov-Dec;30(6):327-34. doi: 10.1016/j.cali.2015.06.008. Epub 2015 Sep 26.
[Article in Spanish]

Abstract

Introduction and objective: Gender is one of the factors that can influence the use of health resources. The use of tumour markers is widespread, due to the importance of these in monitoring cancer development. The aim of this study is to analyse the influence of gender on the use of tumour markers, and to investigate whether there are differences in their use.

Material and methods: A longitudinal, retrospective and descriptive study, with a 2-year follow-up, was conducted in the catchment area of the University Hospital of Padua. An analysis was performed on 23,059 analytical requests for tumour markers. A descriptive and frequency analysis was performed on all variables. The statistical analysis was performed using Chi squared, Student t and Mann-Whitney U to test for significance.

Results: The number of requests for women (1.5) was lower than men (1.6). In patients with tumour pathology, the number of requests was higher than in patients without tumour disease. In the analysis by disease and gender, the difference remained significant. As regards the number of tumour markers per request, the difference between genders was also significant: 2.13 in males versus 2.85 in women. Similar results were obtained when requests for tumour markers linked to gender-related diseases were eliminated.

Conclusions: There are differences in the use of tumour markers by gender with the number of requests for male patients being higher than for females. However, the number of tumour markers per request is greater in women than in men.

Keywords: Gender; Género; Marcador tumoral; Tumour markers; Use; Uso; Utilidad; Utility.

Publication types

  • Comparative Study

MeSH terms

  • Biomarkers, Tumor / analysis*
  • Clinical Laboratory Information Systems
  • Female
  • Hospitals, University
  • Humans
  • Italy
  • Male
  • Neoplasms / chemistry*
  • Neoplasms / epidemiology
  • Patient Acceptance of Health Care* / statistics & numerical data
  • Practice Patterns, Physicians'*
  • Retrospective Studies
  • Sex Distribution
  • Sex Factors*

Substances

  • Biomarkers, Tumor