biostudies-literatureUnknown98(12)Maria Cardinal KCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorThis study aimed to estimate the productive and economic impacts caused by the withdrawal of antibiotic growth promoters (AGP) from broilers diet. Indexed publications that compared diets with or without AGP (AGP+/AGP-) for broilers (from initial to final phase) were collected and the results of feed intake, weight gain, and feed conversion were compiled in a database. A meta-analysis was performed following sequential analyses: graphical approach (to observe biological data coherence), correlation (to identify related factors), and variance-covariance (to compare groups). The annual number of broiler slaughtered in Brazil, target weight gain and feed conversion for each phase, the variation in feed conversion, feed cost, and AGP costs were used to build a model to estimate the effects of Poultry science6659-6667https://www.ebi.ac.uk/biostudies/studies/S-EPMC8913991biostudies-literatureWithdrawal of antibiotic growth promoters from broiler diets: performance indexes and economic impact.PMC8913991Machado Leal Ribeiro AKipper MMaria Cardinal KAndretta IfalseWithdrawal of antibiotic growth promoters from broiler diets: performance indexes and economic impact.This study aimed to estimate the productive and economic impacts caused by the withdrawal of antibiotic growth promoters (AGP) from broilers diet. Indexed publications that compared diets with or without AGP (AGP+/AGP-) for broilers (from initial to final phase) were collected and the results of feed intake, weight gain, and feed conversion were compiled in a database. A meta-analysis was performed following sequential analyses: graphical approach (to observe biological data coherence), correlation (to identify related factors), and variance-covariance (to compare groups). The annual number of broiler slaughtered in Brazil, target weight gain and feed conversion for each phase, the variation in feed conversion, feed cost, and AGP costs were used to build a model to estimate the effects of 2019-01-01T00:00:00Z2019 Dec2025-04-05T15:58:40.779Z2025-04-05T15:58:40.779ZS-EPMC89139913154494110.3382/ps/pez536