An overview protocol of biomarkers for breast cancer detection

Medicine (Baltimore). 2019 Jun;98(24):e16024. doi: 10.1097/MD.0000000000016024.

Abstract

Background: Among females, breast cancer is the most commonly diagnosed cancer and the leading cause of cancer death over 100 countries. Generally, the prognosis of early-stage breast cancer is good. However, the prognosis is very poor when the disease is diagnosed at an advanced stage. Many screening methods have been used for early detection of breast cancer, but there are some limitations of these methods. Recently, some systematic reviews have evaluated the value of biomarkers for detecting breast cancer. However, most of the systematic reviews (SRs) only evaluated the diagnostic value of 1 biomarker, and it is unclear which biomarker is the best diagnostic test for breast cancer. This overview aims to assess the methodological and reporting quality of available systematic reviews and to compare the diagnostic value of different biomarkers.

Methods: PubMed, Embase.com, the Cochrane Library of Systematic Reviews, and Web of Science were searched to identify published systematic reviews reporting the value of biomarkers for detecting breast cancer. Title and abstracts, as well as full texts, were screened in duplicate based on inclusion and exclusion criteria. The Assessment of Multiple Systematic Reviews-2 (AMSTAR-2) tool and Preferred Reporting Items for Systematic Reviews and Meta-analysis diagnostic test accuracy (PRISMA-DTA) checklist will be used to assess the methodological and reporting quality, respectively. We will conduct the pairwise meta-analysis and indirect comparisons using STATA 13.0.

Results: The results of this study will be published in a peer-reviewed journal CONCLUSION:: This overview will provide comprehensive evidence of different biomarkers for the diagnosis of breast cancer.

Prospero registration number: CRD42019125880.

MeSH terms

  • Biomarkers, Tumor / analysis*
  • Breast Neoplasms / diagnosis*
  • Breast Neoplasms / metabolism*
  • Humans
  • Meta-Analysis as Topic
  • Systematic Reviews as Topic*

Substances

  • Biomarkers, Tumor