列线图(Nomogram),又称诺模图,是一种基于多变量回归分析的图形工具。它将多个预测指标整合在同一平面上,直观地展现预测模型中各变量间的相互关系。
输入文件
输入文件的中间部分以制表符(\t)分隔,如下图所示

输出文件

1. 列线图(Nomogram)—— output.svg
列线图是一种直观的多因素生存预测工具。每一行代表一个临床变量(如Age、Gender、Grade、T、M、N、VCAN),最上方是“Points”刻度。
对于每个患者,找到其在每个变量上的取值,向上画线到“Points”轴,获得对应分值。将所有变量的分值相加,得到总分(Total Points),再在下方的“1-year/2-year/3-year survival”轴上找到对应的生存概率,即为该患者在1年、2年、3年时的生存预测概率。
便于医生或研究者根据多因素模型,个体化地预测患者的生存结局。
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

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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.