With regard to standardization of measurements, seven studies, used a private, non-observed clinical setting, one instructed to measure at home, and three studies did not describe the setting in which measurements took place. The following factors of influence were accounted for: circadian rhythm in three studies, time since last ejaculation in none and time since last defecation in one of the studies, intra-abdominal pressure in six studies, and the accustomed position in two studies. With regard to outcome assessment, of eight studies which measured PVR only two measured total bladder capacity. All studies defined their methods for the other urodynamic measurements. This study aims to determine the influence of body position during voiding on urodynamic parameters for both healthy males and men with LUTS by summarizing the scientific evidence for either the sitting or standing position. We found that in patients with LUTS the sitting position is associated with a trend towards a more favorable urodynamic profile: Qmax is increased, PVR is lowered and time spent urinating is shorter than in the standing position. In healthy males however, the results of our meta-analysis show no posture-related differences in any of the measured urodynamic parameters. We therefore conclude that for healthy men the debate on the standing versus sitting voiding posture cannot be settled by urodynamic arguments alone. To our knowledge, this is the first systematic review and metaanalysis to assess urodynamics and posture-related changes. Three articles provided a summarization in the form of a literature review, however a meta-analysis is of greater value in evidence-based clinical decision making. Apart from demonstrating a trend towards an improved urodynamic profile in LUTS patients, we unfortunately proved the accompanying heterogeneity as well. Consequently, some care should be taken in the interpretation of the results. Statistical analysis in order to identify the exact cause of the heterogeneity remains difficult in such a small number of studies. An arbitrary minimum number of ten studies is needed to perform funnel plot analysis and Egger tests to objectify publication bias.