van Helden J, Evliyaoglu O, Küberl A, et al. - Researchers conducted this cross‐sectional study to examine connections between glucose metabolism and different polycystic ovary syndrome (PCOS) phenotypes and to identify biomarkers or their combinations to obtain information on the type of metabolic disorder or the severity of PCOS. This investigation was carried out between 2016 and 2018 in a single reference laboratory in Germany. The sample consisted of 130 patients with PCOS. Biometric data like weight, height, cycle day and cycle length were contrasted with glucose metabolism parameters like fasting glucose, insulin before and 60 and 120 minutes after 75 g glucose intake, intact proinsulin, C‐peptide and ovarian function parameters including Anti‐Müllerian hormone (AMH) and the soluble AMH receptor (sAMHR2). According to findings, the parameters glucose, insulin, insulin 60 minutes after intake of 75 g glucose and adiponectin or sAMHR2 allow for a biochemical classification of PCOS patients correlating with morphological PCOS phenotypes. By determining biomarkers, PCOS patients can be categorized into subgroups that correspond with different PCOS phenotypes and the clinical severity.