Nomogram, also known as nomograph, is a graphical tool based on multivariate regression analysis. It integrates multiple predictive indicators onto the same plane to visually express the interrelationships between various variables in a predictive model.
Input
The input file is shown in the figure below, with the middle part separated by \t

Output

-
Nomogram - output.svg
Graphical Structure:
The nomogram is an intuitive multifactorial survival prediction tool. Each row represents a clinical variable (e.g., Age, Gender, Grade, T, M, N, VCAN), with the topmost scale being the "Points" axis.
Usage Method:
For each patient, locate their value on each variable, draw a vertical line to the "Points" axis to obtain the corresponding score. Sum the scores of all variables to get the total points ("Total Points"), then find the corresponding survival probability on the "1-year/2-year/3-year survival" axis at the bottom. This represents the predicted survival probability for the patient at 1, 2, and 3 years.
Purpose:
Enables clinicians or researchers to make individualized survival predictions for patients based on a multifactorial model.
Nomogram, also known as nomograph, is a graphical tool based on multivariate regression analysis. It integrates multiple predictive indicators onto the same plane to visually express the interrelationships between various variables in a predictive model.
Input
The input file is shown in the figure below, with the middle part separated by \t

Output

-
Nomogram - output.svg
Graphical Structure:
The nomogram is an intuitive multifactorial survival prediction tool. Each row represents a clinical variable (e.g., Age, Gender, Grade, T, M, N, VCAN), with the topmost scale being the "Points" axis.
Usage Method:
For each patient, locate their value on each variable, draw a vertical line to the "Points" axis to obtain the corresponding score. Sum the scores of all variables to get the total points ("Total Points"), then find the corresponding survival probability on the "1-year/2-year/3-year survival" axis at the bottom. This represents the predicted survival probability for the patient at 1, 2, and 3 years.
Purpose:
Enables clinicians or researchers to make individualized survival predictions for patients based on a multifactorial model.