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Biomarkers for detecting prostate cancer: Protocol for an umbrella review with integrated network meta-analysis
BACKGROUND: Prostate cancer (PCa) is common, with it being the 2nd most prevalent cancer in men worldwide and the 6th leading cause of death in men. Screening for any type of cancer aims to increase the chances of successful treatment through early detection of the disease. There were some systemati...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Wolters Kluwer Health
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6708917/ https://www.ncbi.nlm.nih.gov/pubmed/31348264 http://dx.doi.org/10.1097/MD.0000000000016517 |
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author | Jia, Junhai Sun, Yue Ren, Jingjie Li, Muyang Wang, Jiancheng Li, Haiyang |
author_facet | Jia, Junhai Sun, Yue Ren, Jingjie Li, Muyang Wang, Jiancheng Li, Haiyang |
author_sort | Jia, Junhai |
collection | PubMed |
description | BACKGROUND: Prostate cancer (PCa) is common, with it being the 2nd most prevalent cancer in men worldwide and the 6th leading cause of death in men. Screening for any type of cancer aims to increase the chances of successful treatment through early detection of the disease. There were some systematic reviews (SRs) evaluated the diagnostic value of biomarkers for the diagnosis of PCa and no studies have been conducted to analyze the quality of these SRs. We are not clear which kind of marker is the best choice. Thus, this study aims to assess the methodologic quality of the SRs and reanalyze the published data based on SRs for the biomarkers to find the optimal biomarker for the early diagnosis of PCa. METHODS: We performed a systematic literature search of PubMed, Embase, Web of Science, and Cochrane Library and to identify relevant SRs from inception to April 2019. Diagnostic accuracy studies included any type of single biomarker or combined biomarkers aimed at evaluating the diagnostic value is considered eligible for this overview. The Assessment of Multiple Systematic Reviews-2 (AMSTAR-2) instrument will be used to evaluate the risk of bias of the included SRs. Standard pairwise meta-analysis and adjusted indirect comparison will be used to compare the diagnostic value of different biomarkers. RESULTS: The results of this study will be submitted to a peer-reviewed journal for publication. CONCLUSION: This study will reanalyze the published data based on SRs. We hope that the results will help find a biomarker with the superior diagnostic performance for the diagnosis of PCa. PROSPERO REGISTRATION NUMBER: CRD42019125880. |
format | Online Article Text |
id | pubmed-6708917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-67089172019-10-01 Biomarkers for detecting prostate cancer: Protocol for an umbrella review with integrated network meta-analysis Jia, Junhai Sun, Yue Ren, Jingjie Li, Muyang Wang, Jiancheng Li, Haiyang Medicine (Baltimore) Research Article BACKGROUND: Prostate cancer (PCa) is common, with it being the 2nd most prevalent cancer in men worldwide and the 6th leading cause of death in men. Screening for any type of cancer aims to increase the chances of successful treatment through early detection of the disease. There were some systematic reviews (SRs) evaluated the diagnostic value of biomarkers for the diagnosis of PCa and no studies have been conducted to analyze the quality of these SRs. We are not clear which kind of marker is the best choice. Thus, this study aims to assess the methodologic quality of the SRs and reanalyze the published data based on SRs for the biomarkers to find the optimal biomarker for the early diagnosis of PCa. METHODS: We performed a systematic literature search of PubMed, Embase, Web of Science, and Cochrane Library and to identify relevant SRs from inception to April 2019. Diagnostic accuracy studies included any type of single biomarker or combined biomarkers aimed at evaluating the diagnostic value is considered eligible for this overview. The Assessment of Multiple Systematic Reviews-2 (AMSTAR-2) instrument will be used to evaluate the risk of bias of the included SRs. Standard pairwise meta-analysis and adjusted indirect comparison will be used to compare the diagnostic value of different biomarkers. RESULTS: The results of this study will be submitted to a peer-reviewed journal for publication. CONCLUSION: This study will reanalyze the published data based on SRs. We hope that the results will help find a biomarker with the superior diagnostic performance for the diagnosis of PCa. PROSPERO REGISTRATION NUMBER: CRD42019125880. Wolters Kluwer Health 2019-07-26 /pmc/articles/PMC6708917/ /pubmed/31348264 http://dx.doi.org/10.1097/MD.0000000000016517 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 (CCBY), 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 Jia, Junhai Sun, Yue Ren, Jingjie Li, Muyang Wang, Jiancheng Li, Haiyang Biomarkers for detecting prostate cancer: Protocol for an umbrella review with integrated network meta-analysis |
title | Biomarkers for detecting prostate cancer: Protocol for an umbrella review with integrated network meta-analysis |
title_full | Biomarkers for detecting prostate cancer: Protocol for an umbrella review with integrated network meta-analysis |
title_fullStr | Biomarkers for detecting prostate cancer: Protocol for an umbrella review with integrated network meta-analysis |
title_full_unstemmed | Biomarkers for detecting prostate cancer: Protocol for an umbrella review with integrated network meta-analysis |
title_short | Biomarkers for detecting prostate cancer: Protocol for an umbrella review with integrated network meta-analysis |
title_sort | biomarkers for detecting prostate cancer: protocol for an umbrella review with integrated network meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6708917/ https://www.ncbi.nlm.nih.gov/pubmed/31348264 http://dx.doi.org/10.1097/MD.0000000000016517 |
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