This paper provides a meta-analysis of existing studies to understand how different parameters of 3D printing affect the quality of printed objects. We specifically review two crucial characteristics, namely dimensional accuracy and surface finish, both of which play a pivotal role in determining the functional performance and visual appeal of 3D printed items. The study specifically focuses on several pre-printing variables, including: the type of 3D printer, 3D model design, layer height, nozzle temperature, printing speed and material. The review identifies common trends and best practices across various contexts and applications by analysing these factors. These results highlight a strong correlation between the print settings and the dimensions and surface finish of printed parts. Remarkably, the ideal settings for layer height and nozzle temp respectively exhibit a rather wide range, varying significantly based on the material and printer technology. In addition, the meta-analysis demonstrates the interaction between various parameters, where modifications of one parameter influence the effect of other parameters. Like how changes in printing speed can lead to dimensional precision versus surface quality, and vice versa, and what that balance looks like. These enriched insight into 3D printing parameters provide strong guidance for the researcher, engineers and practitioner. By controlling and adjusting these parameters, they could greatly reduce the level of defects, thus enhancing the overall quality of 3D-printed designs and products. The conclusions resulting from this meta-analysis function as a development workflow for customers seeking to overcome the limits of 3D printing know-how.