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Diagnostic performance of biomarkers for ovarian cancer: Protocol for an overview, evidence mapping, and adjusted indirect comparisons

BACKGROUND: Ovarian cancer is one of the deadliest gynecological diseases and the annual mortality of ovarian cancer continues to rise. The prognosis of ovarian cancer is poor because it is prone to early metastasis during progression. Therefore, early diagnosis of ovarian cancer is very important....

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Autores principales: Hua, Jinyong, Liu, Jing, Hua, Mengge, Cai, Runjin, Li, Muyang, Wang, Jing, Wang, Jiancheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6504260/
https://www.ncbi.nlm.nih.gov/pubmed/31045839
http://dx.doi.org/10.1097/MD.0000000000015508
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author Hua, Jinyong
Liu, Jing
Hua, Mengge
Cai, Runjin
Li, Muyang
Wang, Jing
Wang, Jiancheng
author_facet Hua, Jinyong
Liu, Jing
Hua, Mengge
Cai, Runjin
Li, Muyang
Wang, Jing
Wang, Jiancheng
author_sort Hua, Jinyong
collection PubMed
description BACKGROUND: Ovarian cancer is one of the deadliest gynecological diseases and the annual mortality of ovarian cancer continues to rise. The prognosis of ovarian cancer is poor because it is prone to early metastasis during progression. Therefore, early diagnosis of ovarian cancer is very important. Some systematic reviews have evaluated the diagnostic value of different biomarkers for ovarian cancer. However, there is no consensus in the conclusions, and some are even contradictory. This study aims to assess the methodological and reporting quality of available systematic reviews and to find an optimal biomarker for diagnosing ovarian cancer. METHODS: The PubMed, Embase.com, the Cochrane Library of Systematic Reviews, and Web of Science were searched to identify relevant systematic reviews from inception to February 2019. We included systematic reviews that include randomized controlled trials, cross-sectional studies, case-control studies, or cohort studies as long as the systematic reviews evaluated the diagnostic performance of biomarkers for ovarian cancer. The methodological quality will be assessed using assessment of multiple systematic reviews-2 checklist, and the reporting quality will be assessed using preferred reporting items for systematic reviews and meta-analysis diagnostic test accuracy (PRISMA-DTA) checklist. The pairwise meta-analysis and indirect comparisons will be performed using STATA (13.0; Stata Corporation, College Station, TX). RESULTS: The results of this overview will be submitted to a peer-reviewed journal for publication. CONCLUSION: This overview will provide comprehensive evidence of different biomarkers for diagnosing ovarian cancer. PROSPERO REGISTRATION NUMBER: CRD42019125880.
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spelling pubmed-65042602019-05-29 Diagnostic performance of biomarkers for ovarian cancer: Protocol for an overview, evidence mapping, and adjusted indirect comparisons Hua, Jinyong Liu, Jing Hua, Mengge Cai, Runjin Li, Muyang Wang, Jing Wang, Jiancheng Medicine (Baltimore) Research Article BACKGROUND: Ovarian cancer is one of the deadliest gynecological diseases and the annual mortality of ovarian cancer continues to rise. The prognosis of ovarian cancer is poor because it is prone to early metastasis during progression. Therefore, early diagnosis of ovarian cancer is very important. Some systematic reviews have evaluated the diagnostic value of different biomarkers for ovarian cancer. However, there is no consensus in the conclusions, and some are even contradictory. This study aims to assess the methodological and reporting quality of available systematic reviews and to find an optimal biomarker for diagnosing ovarian cancer. METHODS: The PubMed, Embase.com, the Cochrane Library of Systematic Reviews, and Web of Science were searched to identify relevant systematic reviews from inception to February 2019. We included systematic reviews that include randomized controlled trials, cross-sectional studies, case-control studies, or cohort studies as long as the systematic reviews evaluated the diagnostic performance of biomarkers for ovarian cancer. The methodological quality will be assessed using assessment of multiple systematic reviews-2 checklist, and the reporting quality will be assessed using preferred reporting items for systematic reviews and meta-analysis diagnostic test accuracy (PRISMA-DTA) checklist. The pairwise meta-analysis and indirect comparisons will be performed using STATA (13.0; Stata Corporation, College Station, TX). RESULTS: The results of this overview will be submitted to a peer-reviewed journal for publication. CONCLUSION: This overview will provide comprehensive evidence of different biomarkers for diagnosing ovarian cancer. PROSPERO REGISTRATION NUMBER: CRD42019125880. Wolters Kluwer Health 2019-05-03 /pmc/articles/PMC6504260/ /pubmed/31045839 http://dx.doi.org/10.1097/MD.0000000000015508 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
Hua, Jinyong
Liu, Jing
Hua, Mengge
Cai, Runjin
Li, Muyang
Wang, Jing
Wang, Jiancheng
Diagnostic performance of biomarkers for ovarian cancer: Protocol for an overview, evidence mapping, and adjusted indirect comparisons
title Diagnostic performance of biomarkers for ovarian cancer: Protocol for an overview, evidence mapping, and adjusted indirect comparisons
title_full Diagnostic performance of biomarkers for ovarian cancer: Protocol for an overview, evidence mapping, and adjusted indirect comparisons
title_fullStr Diagnostic performance of biomarkers for ovarian cancer: Protocol for an overview, evidence mapping, and adjusted indirect comparisons
title_full_unstemmed Diagnostic performance of biomarkers for ovarian cancer: Protocol for an overview, evidence mapping, and adjusted indirect comparisons
title_short Diagnostic performance of biomarkers for ovarian cancer: Protocol for an overview, evidence mapping, and adjusted indirect comparisons
title_sort diagnostic performance of biomarkers for ovarian cancer: protocol for an overview, evidence mapping, and adjusted indirect comparisons
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6504260/
https://www.ncbi.nlm.nih.gov/pubmed/31045839
http://dx.doi.org/10.1097/MD.0000000000015508
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