 This study proposes a method to derive individual patient time-to-event data from Kaplan-Meier, kilometer, survival curves, which can be used for meta-analysis and cost-effectiveness analysis. The algorithm maps from digitized kilometer curves back to kilometer data by finding numerical solutions to the inverted kilometer equations using available information on number of events and numbers at risk. The study validated the accuracy and reproducibility of survival probabilities, median survival times, and hazard ratios based on reconstructed kilometer data. The results showed no material systematic error and a high degree of reproducibility for all statistics. The algorithm is recommended as a reliable tool for meta-analysis and cost-effectiveness analyses of RCTs reporting time-to-event data, and it is suggested that all RCTs should report information on numbers at risk and total number of events alongside kilometer curves.