Examining the predictive accuracy of metabolomics for small-for-gestational-age babies: A systematic review

Introduction: To date, there is no robust enough test to predict small-for-gestational-age (SGA) infants, who are at increased lifelong risk of morbidity and mortality. Objective: To determine the accuracy of metabolomics in predicting SGA babies and elucidate which metabolites are predictive of this condition. Data sources: Two independent researchers explored 11 electronic databases and grey literature in February 2018 and November 2018, covering publications from 1998 to 2018. Both researchers performed data extraction and quality assessment independently. A third researcher resolved discrepancies. Study eligibility criteria: Cohort or nested case–control studies were included which investigated pregnant women and performed metabolomics analysis to evaluate SGA infants. The primary outcome was birth weight