BACKGROUND: Subgroup analyses are relatively easy to perform but can be difficult to interpret. Credibility is often low, whereas the risk of over-interpretation is high. ICEMAN is a structured approach generated through expert consensus and provides eight items for judging the credibility of subgroup effects identified in a meta-analysis. OBJECTIVES: Learn how to apply ICEMAN to an apparent subgroup effect and, if credible, how to design a corresponding GRADE summary of findings table. DESCRIPTION: Participants will apply ICEMAN to examples from the literature. We will discuss, for each item, conceptual and practical challenges. The workshop does not include statistical exercises; the focus is on the interpretation and reporting of subgroup effects. Participants should bring their laptop, if available, and are welcome to discuss their own examples. Key references: (1) Schandelmaier et al. CMAJ, 2020: Doi: 10.1503/cmaj.200077 (2) Guyatt et al. J Clin Epidemiol, 2023: Title: “GRADE Guidance 36: Updates to GRADE’s approach to addressing inconsistency” (in press)