Introduction: In recent decades, clinical research has seen significant advancements, both in the generation and synthesis of evidence through meta-Analyses. Despite these methodological advancements, there is a growing concern about the accumulation of repetitive and redundant literature, potentially contributing to research waste. This highlights the necessity for a mechanism to determine when a meta-Analysis has conclusively addressed a research question, signaling no further need for additional studies-a concept we term an "exit"meta-Analysis. Methods: We introduced a convergence index, the Doi-Abdulmajeed Trial Stability (DAts) index, and a convergence plot to determine the exit status of a meta-Analysis. The performance of DAts was examined through simulation and applied to two real-world meta-Analyses. Results: The DAts index and convergence plot demonstrate highly effective discriminative ability across varying study scenarios. This represents the first attempt to define an exit meta-Analysis using a quantitative measurement of stability (as opposed to sufficiency) and its corresponding plot. The application to real-world scenarios further validated the utility of DAts and the convergence plot in identifying a conclusive (exit) meta-Analyses. Conclusion: The new development of DAts and the convergence plot provide a promising tool for investigating the conclusiveness of meta-Analyses. By identifying an exit status for meta-Analysis, the scientific community may be equipped to make better-informed decisions on the continuation of research on a specific topic, thereby preventing research waste and focusing efforts on areas with unresolved questions.