Last chance! 50% off unlimited learning
Sale ends in
Natural history of 241 subjects with monoclonal gammapothy of undetermined significance (MGUS).
mgus
mgus1
mgus: A data frame with 241 observations on the following 12 variables.
id: | subject id |
age: | age in years at the detection of MGUS |
sex: | male or female |
dxyr: | year of diagnosis |
pcdx: | for subjects who progress to a plasma cell malignancy |
the subtype of malignancy: multiple myeloma (MM) is the | |
most common, followed by amyloidosis (AM), macroglobulinemia (MA), | |
and other lymphprolifative disorders (LP) | |
pctime: | days from MGUS until diagnosis of a plasma cell malignancy |
futime: | days from diagnosis to last follow-up |
death: | 1= follow-up is until death |
alb: | albumin level at MGUS diagnosis |
creat: | creatinine at MGUS diagnosis |
hgb: | hemoglobin at MGUS diagnosis |
mspike: | size of the monoclonal protein spike at diagnosis |
mgus1: The same data set in start,stop format. Contains the id, age, sex, and laboratory variable described above along with
start, stop: | sequential intervals of time for each subject |
status: | =1 if the interval ends in an event |
event: | a factor containing the event type: censor, death, or plasma cell malignancy |
Plasma cells are responsible for manufacturing immunoglobulins, an
important part of the immune defense. At any given time there are
estimated to be about
Three subjects had MGUS detected on the day of death. In data set
mgus1
these subjects have the time to MGUS coded as .5 day before
the death in order to avoid tied times.
These data sets were updated in Jan 2015 to correct some small errors.
R Kyle, Benign monoclonal gammopathy -- after 20 to 35 years of follow-up, Mayo Clinic Proc 1993; 68:26-36.
# NOT RUN {
# Create the competing risk curves for time to first of death or PCM
sfit <- survfit(Surv(start, stop, event) ~ sex, mgus1, subset=(enum==1))
print(sfit) # the order of printout is the order in which they plot
plot(sfit, xscale=365.25, lty=c(2,1,2,1), col=c(1,1,2,2),
xlab="Years after MGUS detection", ylab="Proportion")
legend(0, .8, c("Death/male", "Death/female", "PCM/male", "PCM/female"),
lty=c(1,1,2,2), col=c(2,1,2,1), bty='n')
title("Curves for the first of plasma cell malignancy or death")
# The plot shows that males have a higher death rate than females (no
# surprise) but their rates of conversion to PCM are essentially the same.
# }
Run the code above in your browser using DataLab