Predictive value of miR-210 as a novel biomarker for pre-eclampsia: a systematic review protocol.
BACKGROUND
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
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 χ2' and I2. Heterogeneity would be investigated through either subgroup analysis or metaregression. Stata V.11.1 will be used for data analysis.


BACKGROUND
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.


BACKGROUND
CRD42015032345.
Molecular Medicine Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Pooneh
P
Nikuei
Stem Cell and Cell Therapy Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran Department of Biochemistry, Faculty of Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Nahid
N
Davoodian
School of Information Sciences, College of Communication and Information, University of Tennessee, Knoxville, Tennessee, USA.
Iman
I
Tahamtan
Department of Health Sciences Education Development, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Abbas Ali
AA
Keshtkar
Predictive value; miR-210; preeclampsia
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