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An overview protocol of biomarkers for breast cancer detection
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 screeni...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6587604/ https://www.ncbi.nlm.nih.gov/pubmed/31192953 http://dx.doi.org/10.1097/MD.0000000000016024 |
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author | Sheng, Zhijuan Wang, Jing Li, Muyang Luo, Xinyue Cai, Runjin Zhang, Mei |
author_facet | Sheng, Zhijuan Wang, Jing Li, Muyang Luo, Xinyue Cai, Runjin Zhang, Mei |
author_sort | Sheng, Zhijuan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6587604 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-65876042019-06-24 An overview protocol of biomarkers for breast cancer detection Sheng, Zhijuan Wang, Jing Li, Muyang Luo, Xinyue Cai, Runjin Zhang, Mei Medicine (Baltimore) Research Article 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. Wolters Kluwer Health 2019-06-14 /pmc/articles/PMC6587604/ /pubmed/31192953 http://dx.doi.org/10.1097/MD.0000000000016024 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 |
spellingShingle | Research Article Sheng, Zhijuan Wang, Jing Li, Muyang Luo, Xinyue Cai, Runjin Zhang, Mei An overview protocol of biomarkers for breast cancer detection |
title | An overview protocol of biomarkers for breast cancer detection |
title_full | An overview protocol of biomarkers for breast cancer detection |
title_fullStr | An overview protocol of biomarkers for breast cancer detection |
title_full_unstemmed | An overview protocol of biomarkers for breast cancer detection |
title_short | An overview protocol of biomarkers for breast cancer detection |
title_sort | overview protocol of biomarkers for breast cancer detection |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6587604/ https://www.ncbi.nlm.nih.gov/pubmed/31192953 http://dx.doi.org/10.1097/MD.0000000000016024 |
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