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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...

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Autores principales: Sheng, Zhijuan, Wang, Jing, Li, Muyang, Luo, Xinyue, Cai, Runjin, Zhang, Mei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
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.
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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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