I've gone through the various questions relating to Kaplan-Meier plots and survival estimates, but I haven't really been able to find anything to help with this specific scenario.
Sometimes, when reading medical publications you realise that the authors haven't reported median survival times of subgroups, but have simply plotted them in Kaplan-Meier curves. Drawing a line at 0.5 on the y-axis and dropping a vertical line to the x-axis when said line intersects with the Kaplan-Meier curve will give you a rough estimate of the median survival time and help you interpret the potential "difference", if the paper otherwise isn't too enlightening.
However, how do you estimate the median survival time, if say one subgroup never reaches the 0.5 mark during the analysis period?
Attached is such a situation taken from this paper:
Epidermal Growth Factor Receptor, p53 Mutation, and Pathological Response Predict Survival in Patients with Locally Advanced Esophageal Cancer Treated with Preoperative Chemoradiotherapy, Michael K Gibson et al., Clin Cancer Res 2003;9:6461-6468
I mean regardless of if the cohort with "no mutation" reaches 0.5 or not, you could still calculate a median survival time for that cohort if you had the raw data!
I appreciate that the method of "drawing a line" and eyeballing isn't exact science is it, but sometimes its the best you can do.
Any pointers helping with this issue would be great and any ideas for a work around would be great.
Many thanks in advance,