How to read the survival analysis?

  • updated 1 mth ago

The survival analysis module allows to study any quantity of interest defined as time-to-event variable. An example of such a variable can be the time at which a clinical progression happens, namely Time To Progression (TTP). The graphical representation of such variables is the survival curve.

How to read this survival curve? The curve shows the evolution of the survival rates and confidence intervals for each group of patients.

In this simulation, there are two arms of treated patients : the yellow group presents a mutation on a specific protein while the blue one does not present it. 

The horizontal axis represents time in days, and the vertical axis (y-axis) shows the cumulative survival rates (that can be interpreted as the probability of “surviving”). The lines represent survival curves of the two groups. A vertical drop in the curves indicates an event. 

  • At time zero, the cumulative survival rate is 100%, all patients are “alive”.

  • At 100 days, the probability of survival is approximately 85% for the non-mutated group and 5% for the mutated group. 

  • The median survival is 273 days for mutated group and 19 days for non-mutated group, suggesting a good survival for mutated group compared to non-mutated group

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