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Predictive value of miR-210 as a novel biomarker for pre-eclampsia: a systematic review protocol

INTRODUCTION: Pre-eclampsia (PE) is a serious condition affecting 3–5% of all pregnancies worldwide. However, underlying molecular pathogenesis of this disease has largely remained unknown. Recently, several studies have indicated the possibility role of microRNAs, especially miR-210, in the aetiolo...

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Autores principales: Nikuei, Pooneh, Davoodian, Nahid, Tahamtan, Iman, Keshtkar, Abbas Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5051509/
https://www.ncbi.nlm.nih.gov/pubmed/27683514
http://dx.doi.org/10.1136/bmjopen-2016-011920
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author Nikuei, Pooneh
Davoodian, Nahid
Tahamtan, Iman
Keshtkar, Abbas Ali
author_facet Nikuei, Pooneh
Davoodian, Nahid
Tahamtan, Iman
Keshtkar, Abbas Ali
author_sort Nikuei, Pooneh
collection PubMed
description INTRODUCTION: Pre-eclampsia (PE) is a serious condition affecting 3–5% of all pregnancies worldwide. However, underlying molecular pathogenesis of this disease has largely remained unknown. Recently, several studies have indicated the possibility role of microRNAs, especially miR-210, in the aetiology of PE. The aim of this systematic review is to assess the possible role of miR-210 as a novel biomarker for the prediction of PE. METHODS AND ANALYSIS: Using a combination of mesh terms ‘preeclampsia’, ‘microRNA’ and their equivalents, an electronic search will be performed for all observational studies (cross sectional, case–control and cohort) in PubMed, Web of Science, Scopus, Embase, Cochrane, LILACS and OvidSP MEDLINE from January 2005 to December 2015. Furthermore, other sources are searched, including grey literature, reference lists of relevant primary studies as well as key journals. Study selection, data extraction and quality assessment of studies will be performed independently by 2 reviewers, and any disagreement will be resolved by consensus. If sufficient data are available, it will be combined by either fixed or random effects models. We will investigate the source)s(and degree of heterogeneity using ‘Heterogeneity χ(2)’ and I(2). Heterogeneity would be investigated through either subgroup analysis or metaregression. Stata V.11.1 will be used for data analysis. ETHICS AND DISSEMINATION: The results of this study are disseminated in peer-reviewed journal articles and academic presentations. Formal ethical approval is not required, since the secondary data will be collected. TRIAL REGISTRATION NUMBER: CRD42015032345.
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spelling pubmed-50515092016-10-17 Predictive value of miR-210 as a novel biomarker for pre-eclampsia: a systematic review protocol Nikuei, Pooneh Davoodian, Nahid Tahamtan, Iman Keshtkar, Abbas Ali BMJ Open Diagnostics INTRODUCTION: Pre-eclampsia (PE) is a serious condition affecting 3–5% of all pregnancies worldwide. However, underlying molecular pathogenesis of this disease has largely remained unknown. Recently, several studies have indicated the possibility role of microRNAs, especially miR-210, in the aetiology of PE. The aim of this systematic review is to assess the possible role of miR-210 as a novel biomarker for the prediction of PE. METHODS AND ANALYSIS: Using a combination of mesh terms ‘preeclampsia’, ‘microRNA’ and their equivalents, an electronic search will be performed for all observational studies (cross sectional, case–control and cohort) in PubMed, Web of Science, Scopus, Embase, Cochrane, LILACS and OvidSP MEDLINE from January 2005 to December 2015. Furthermore, other sources are searched, including grey literature, reference lists of relevant primary studies as well as key journals. Study selection, data extraction and quality assessment of studies will be performed independently by 2 reviewers, and any disagreement will be resolved by consensus. If sufficient data are available, it will be combined by either fixed or random effects models. We will investigate the source)s(and degree of heterogeneity using ‘Heterogeneity χ(2)’ and I(2). Heterogeneity would be investigated through either subgroup analysis or metaregression. Stata V.11.1 will be used for data analysis. ETHICS AND DISSEMINATION: The results of this study are disseminated in peer-reviewed journal articles and academic presentations. Formal ethical approval is not required, since the secondary data will be collected. TRIAL REGISTRATION NUMBER: CRD42015032345. BMJ Publishing Group 2016-09-28 /pmc/articles/PMC5051509/ /pubmed/27683514 http://dx.doi.org/10.1136/bmjopen-2016-011920 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Diagnostics
Nikuei, Pooneh
Davoodian, Nahid
Tahamtan, Iman
Keshtkar, Abbas Ali
Predictive value of miR-210 as a novel biomarker for pre-eclampsia: a systematic review protocol
title Predictive value of miR-210 as a novel biomarker for pre-eclampsia: a systematic review protocol
title_full Predictive value of miR-210 as a novel biomarker for pre-eclampsia: a systematic review protocol
title_fullStr Predictive value of miR-210 as a novel biomarker for pre-eclampsia: a systematic review protocol
title_full_unstemmed Predictive value of miR-210 as a novel biomarker for pre-eclampsia: a systematic review protocol
title_short Predictive value of miR-210 as a novel biomarker for pre-eclampsia: a systematic review protocol
title_sort predictive value of mir-210 as a novel biomarker for pre-eclampsia: a systematic review protocol
topic Diagnostics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5051509/
https://www.ncbi.nlm.nih.gov/pubmed/27683514
http://dx.doi.org/10.1136/bmjopen-2016-011920
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