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Diagnostics
Protocol
Predictive value of miR-210 as a novel biomarker for pre-eclampsia: a systematic review protocol
  1. Pooneh Nikuei1,
  2. Nahid Davoodian2,3,
  3. Iman Tahamtan4,
  4. Abbas Ali Keshtkar5
  1. 1Molecular Medicine Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
  2. 2Stem Cell and Cell Therapy Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
  3. 3Department of Biochemistry, Faculty of Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
  4. 4School of Information Sciences, College of Communication and Information, University of Tennessee, Knoxville, Tennessee, USA
  5. 5Department of Health Sciences Education Development, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  1. Correspondence to Dr Nahid Davoodian; Nahid.Davoodian{at}hums.ac.ir

Abstract

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 χ2’ and I2. 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.

  • preeclampsia
  • miR-210
  • Predictive value

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/

https://doi.org/10.1136/bmjopen-2016-011920

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