TY - JOUR
T1 - Metabolomics for predicting fetal growth restriction
T2 - Protocol for a systematic review and meta-analysis
AU - Leite, Debora Farias Batista
AU - Morillon, Aude Claire
AU - Melo Júnior, Elias F.
AU - Souza, Renato T.
AU - Khashan, Ali S.
AU - Baker, Philip N.
AU - Kenny, Louise C.
AU - Cecatti, José Guilherme
N1 - Our sponsors have not intervened in authors’ decision to write the systematic review protocol or to submit this paper.
PY - 2018/12/6
Y1 - 2018/12/6
N2 - Introduction: Fetal growth restriction (FGR) is a relevant research and clinical concern since it is related to higher risks of adverse outcomes at any period of life. Current predictive tools in pregnancy (clinical factors, ultrasound scan, placenta-related biomarkers) fail to identify the true growth-restricted fetus. However, technologies based on metabolomics have generated interesting findings and seem promising. In this systematic review, we will address diagnostic accuracy of metabolomics analyses in predicting FGR.Methods and analysis: Our primary outcome is small for gestational age infant, as a surrogate for FGR, defined as birth weight below the 10th centile by customised or population-based curves for gestational age. A detailed systematic literature search will be carried in electronic databases and conference abstracts, using the keywords 'fetal growth retardation', 'metabolomics', 'pregnancy' and 'screening' (and their variations). We will include original peer-reviewed articles published from 1998 to 2018, involving pregnancies of fetuses without congenital malformations; sample collection must have been performed before clinical recognition of growth impairment. If additional information is required, authors will be contacted. Reviews, case reports, cross-sectional studies, non-human research and commentaries papers will be excluded. Sample characteristics and the diagnostic accuracy data will be retrieved and analysed. If data allows, we will perform a meta-analysis.Ethics and dissemination: As this is a systematic review, no ethical approval is necessary. This protocol will be publicised in our institutional websites and results will be submitted for publication in a peer-reviewed journal.
AB - Introduction: Fetal growth restriction (FGR) is a relevant research and clinical concern since it is related to higher risks of adverse outcomes at any period of life. Current predictive tools in pregnancy (clinical factors, ultrasound scan, placenta-related biomarkers) fail to identify the true growth-restricted fetus. However, technologies based on metabolomics have generated interesting findings and seem promising. In this systematic review, we will address diagnostic accuracy of metabolomics analyses in predicting FGR.Methods and analysis: Our primary outcome is small for gestational age infant, as a surrogate for FGR, defined as birth weight below the 10th centile by customised or population-based curves for gestational age. A detailed systematic literature search will be carried in electronic databases and conference abstracts, using the keywords 'fetal growth retardation', 'metabolomics', 'pregnancy' and 'screening' (and their variations). We will include original peer-reviewed articles published from 1998 to 2018, involving pregnancies of fetuses without congenital malformations; sample collection must have been performed before clinical recognition of growth impairment. If additional information is required, authors will be contacted. Reviews, case reports, cross-sectional studies, non-human research and commentaries papers will be excluded. Sample characteristics and the diagnostic accuracy data will be retrieved and analysed. If data allows, we will perform a meta-analysis.Ethics and dissemination: As this is a systematic review, no ethical approval is necessary. This protocol will be publicised in our institutional websites and results will be submitted for publication in a peer-reviewed journal.
UR - http://www.scopus.com/inward/record.url?scp=85058279984&partnerID=8YFLogxK
U2 - 10.1136/bmjopen-2018-022743
DO - 10.1136/bmjopen-2018-022743
M3 - Article
C2 - 30530473
AN - SCOPUS:85058279984
SN - 2044-6055
VL - 8
SP - 1
EP - 5
JO - BMJ Open
JF - BMJ Open
IS - 12
M1 - e022743
ER -