10.7910/DVN/OVVPSTPin-Hsiang Huang1Office of Medical Education, Faculty of Medicine & Health, The University of New South WalesArash ArianpoorArashArianpoor1Office of Medical Education, Faculty of Medicine & Health, The University of New South WalesSilas TaylorSilasTaylor1Office of Medical Education, Faculty of Medicine & Health, The University of New South WalesJenzel Gonzales1Office of Medical Education, Faculty of Medicine & Health, The University of New South WalesBoaz ShulrufBoazShulruf1Office of Medical Education, Faculty of Medicine & Health, The University of New South WalesHarvard Dataverse2024Medicine, Health and Life SciencesBoaz ShulrufBoazShulruf1Office of Medical Education, Faculty of Medicine & Health, The University of New South Wales2024-09-082024-12-304386313536183105856042820application/vnd.openxmlformats-officedocument.spreadsheetml.sheetapplication/vnd.openxmlformats-officedocument.spreadsheetml.sheetapplication/haansoftdocxapplication/haansoftdocxapplication/haansoftdocx3.0CC0 1.0Evaluating medical school selection tools is vital for evidence-based student selection. With previous reviews revealing knowledge gaps, this meta-analysis offers insights into the effectiveness of these selection tools. A systematic review and meta-analysis were conducted applying the following criteria: peer-reviewed articles available in English, published from 2010 and which include empirical data linking performance in selection tools with assessment and dropout outcomes of undergraduate entry medical programs. Systematic reviews, meta-analyses, general opinion pieces or commentaries were excluded. Effect sizes (ESs) of the predictability of academic and clinical performance within and by the end of the medicine program were extracted, and the pooled ESs were presented.