Network meta-analysis (NMA), multiple treatments meta-analysis (MTM), or mixed treatment comparison (MTC) provides a flexible and powerful generalization of pairwise meta-analysis traditionally used with SRMA [9] for comparison of multiple interventions simultaneously. As has been explained in numerous publications, [10,11] NMA allows for indirect comparisons of treatments that have not been studied in a head-to-head manner. For example, treatment effects from clinical trials comparing X with respect to Y (in XY trials) and trials comparing Z with respect to Y (in YZ trials) can be then pooled together in NMA to obtain an indirect estimate for indirect comparison between X and Z [12] by means of the common comparator Y. Even if direct evidences for X and Z (via XZ trials) exist, combining them with indirect estimates will strengthen the evidence base. [13] In the mid-1990s, the technique of "adjusted indirect comparisons" was used to compare multiple interventions. This technique was subjected to extension and periodical revisions, leading to the development of NMA. Higgins and Whitehead, [10] Bucher et al. (1998), Lumley (2002), Lu and Ades (2004) have made enormous contributions toward the development of NMA. Network plot is the pictorial representation of all comparisons to be made within a NMA. A well-designed network plot will foster the analysis and will be helpful in procuring reliable estimates. A network plot can either be Network meta-analysis (NMA) is an extension of pairwise meta-analysis that facilitates comparisons of multiple interventions over a single analysis. It is the method in which multiple interventions (that is, three or more) are compared using both direct comparisons of interventions within randomized controlled trials and indirect comparisons across trials based on a common comparator. NMA is methodologically complex compared to simple pairwise meta-analysis as it accounts for a broader evidence base. Results from NMA are more useful to policy makers, service commissioners, and providers when making choices between multiple alternatives than those from multiple, separate pairwise meta-analyses. It can be an ideal choice to be extended to compare complex interventions that are multifaceted. Apart from the numerous benefits the NMA offers, it is prone to methodological complications that need to be understood, implemented, and finally reported correctly. This article is meant to provide a primer to the various methodological issues pertaining to NMA. The NMA can be as valid as a standard pairwise meta-analysis if these methodological issues are taken care of.