實證醫學（EBM）已成為研究醫學相關科學領域最受歡迎和最有效的研究方法之一，整合了以往的研究，旨在檢查並對已有的觀點和結果有更深入的了解。 本文旨在通過系統性文獻回顧及統合分析學術證據並理解如何進行實證醫學。此外，在此篇文章中也介紹了網狀脈絡分析。 實證醫學(EBM)已經證明，在獲得科學證據時能夠有效地促進更有效的研究方法，同時提高期望使其在臨床應用上更加實用。此外，為了保持文章的可信度，文中也指出實證醫學相關的利弊。

Evidence Based Medicine (EBM) has become one of the most popular and effective research methods to investigate on medical-related science fields. It integrates previous researches, aiming to inspect and accomplish a deeper understanding in the already existing opinions and results. This article aims to make an approximation on understanding how to conduct EBM using meta-analysis and systematic review for academic evidences. Consequently, throughout the present article, network meta-analysis are also introduced. EBM has proofed to efficiently promote a more effective research method when obtaining scientific evidence, simultaneously improving expectations to be more practical on clinical application. Additionally -and in order to maintain the article’s liability- it was considered necessary to specify and tackle the most relevant pros and cons.