A continuous variable survival curve is a graphical tool used for analyzing and displaying survival data, particularly suitable for situations where survival time is a continuous variable. Survival data typically includes two key pieces of information: survival time and whether an event has occurred (such as death, disease recurrence, etc.). Continuous variable survival curves can help researchers intuitively compare the distribution of survival times across different groups, thereby analyzing which factors may affect survival time.

Input

The first column of the file is ID, the second column is futime, the third column is fustat, and the fourth column is MATN3, separated by \t.

Output

Chart Description

Chart Type: Kaplan-Meier survival curve (with risk table)

Grouping Method: Samples are divided into "High" (high expression/high score) and "Low" (low expression/low score) groups based on the median value of the input continuous variable (e.g., gene expression level, risk score, etc.).

X-axis: Time (unit determined by input data, typically years or months).

Y-axis: Survival probability (i.e., the proportion of subjects still alive at a given time point).

Curves: Two differently colored curves represent the survival outcomes of the "High" and "Low" groups, respectively.

Confidence Intervals: The shaded areas around the curves indicate the confidence intervals for the survival probabilities.

P-value: The displayed P-value is derived from the Log-rank test, used to determine whether there is a statistically significant difference between the survival curves of the two groups.

Risk Table: The table at the bottom of the chart shows the number of remaining samples in the "High" and "Low" groups at each time point.