什么是risk-adjusted survival curve ？

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投稿了一篇临床文章，做了生存分析，一修回来了，reviewer给了这样一个建议: The authors used Cox proportional hazard model to find the association of cancer and 28-day mortality in patient with hypertension. Why didn’t you plot a risk-adjusted survival curve from the model rather than KM curve ?

请问大家，这个risk-adjusted survival curve怎么做？

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关键词：survival curve risk-adjusted adjust curve just

It means that you need to plot the KM curve depends on all the other co-variates available in your data. In R using the "survival" package:

model = coxph(obj1 ~ Sex + Age + ...) #sex, age, etc. are the other co-variates
plot(survfit(model))

waterhorse 发表于 2018-5-22 14:53
It means that you need to plot the KM curve depends on all the other co-variates available in your d ...

我的研究变量是cancer，原本我画的生长曲线是两条，即cancer的有无（0和1），但是按照您说的（如下代码），加上其他混杂因素后，这样的图根本画不出来。而且加上混杂因素后，怎么能保证图中的生长曲线还是以cancer的有无作为分组的呢？
> km1 <- coxph(Surv(sur_4, death_4) ~ cancer+lactate+hemoglobin+age, data = tie48)
> plot(km1)

waterhorse 发表于 2018-5-22 14:53
It means that you need to plot the KM curve depends on all the other co-variates available in your d ...

这样的代码画出的图，只有一条曲线，就是所有病人的生存情况。并不会出现分组。

You were right about the outcome; there was only one risk-adjusted KM curve, but it's what the paper reviewer wanted you to do.

waterhorse 发表于 2018-5-25 00:45
You were right about the outcome; there was only one risk-adjusted KM curve, but it's what the paper ...

我觉得只有病人总体的一条生存曲线，并不能说明我要研究的cancer对于生存的影响吧？
是否可以这样：
data1<-filter(tie48,cancer==0)
data2<-filter(tie48,cancer==1)
km1 <- coxph(Surv(sur_4, death_4) ~ lactate+hemoglobin+age, data = data1)
km2 <- coxph(Surv(sur_4, death_4) ~ lactate+hemoglobin+age, data = data2)
plot(km1)
如此就能展示cancer=0和cancer=1两组病人的曲线了。
line(km2)

Yes, you're right. I did not fully understand what you wanted to achieve earlier.

lanhong1993 发表于 2018-5-25 11:03
我觉得只有病人总体的一条生存曲线，并不能说明我要研究的cancer对于生存的影响吧？
是否可以这样：
da ...

您好，请问下按cancer=0 =1分成两个data后，分别做了coxph，后面是怎么把不同组的adjusted KM曲线放一张图的？

xwaz 发表于 2019-1-16 14:38
您好，请问下按cancer=0 =1分成两个data后，分别做了coxph，后面是怎么把不同组的adjusted KM曲线放一张图 ...

试试用survminer包里面的ggcoxadjustedcurves：

1. ggcoxadjustedcurves(fit, data = data, variable= data[,"cancer"])

复制代码

源链接在这里：https://rpkgs.datanovia.com/survminer/reference/ggcoxadjustedcurves.html

lanhong1993 发表于 2018-5-22 10:24
投稿了一篇临床文章，做了生存分析，一修回来了，reviewer给了这样一个建议: The authors used Cox proport ...

好的好的好的好的