Guivarch C, Sacri AS, Levy C, et al. - Researchers aimed at assessing the diagnostic accuracy as well as developing prediction tools for iron deficiency in 2-year-old children. They consecutively included 568 2-year-old children (2016-2017) in this national cross-sectional study performed in primary care pediatricians’ practices throughout France. They developed several clinical models to predict ID (serum ferritin < 12 μg/L) using multivariable logistic regression modeling and bootstrapping. In these models, they used the best criteria and combinations among the American Academy of Pediatrics’ (AAP) criteria adapted to the European context (n = 10), then all potential predictors (n = 19). Simplification of one model was then done into a simple prediction tool. Overall all prediction tools exhibited acceptable diagnostic accuracy. The novel simple prediction tool, derived in this work, offered potential ease of use.