Description Usage Arguments Examples
This function gets the biopsies taken per endoscopy and compares to the Prague score for that endoscopy.
1 | BarrettsBxQual(dataframe, Endo_ResultPerformed, PatientID, Endoscopist)
|
dataframe |
dataframe |
Endo_ResultPerformed |
Date of the Endocscopy |
PatientID |
Patient's unique identifier |
Endoscopist |
name of the column with the Endoscopist names |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | # Firstly relevant columns are extrapolated from the
# Mypath demo dataset. These functions are all part of Histology data
# cleaning as part of the package.
Mypath$NumBx<-HistolNumbOfBx(Mypath$Macroscopicdescription,'specimen')
Mypath$BxSize<-HistolBxSize(Mypath$Macroscopicdescription)
# The histology is then merged with the Endoscopy dataset. The merge occurs
# according to date and Hospital number
v<-Endomerge2(Myendo,'Dateofprocedure','HospitalNumber',Mypath,'Dateofprocedure',
'HospitalNumber')
# The function relies on the other Barrett's functions being run as well:
b1<-Barretts_PragueScore(v,'Findings')
b1$PathStage<-Barretts_PathStage(b1,'Histology')
# The follow-up group depends on the histology and the Prague score for a
# patient so it takes the processed Barrett's data and then looks in the
# Findings column for permutations of the Prague score.
b1$FU_Type<-Barretts_FUType(b1,"CStage","MStage","PathStage")
colnames(b1)[colnames(b1) == 'pHospitalNum'] <- 'HospitalNumber'
# The number of average number of biopsies is then calculated and
# compared to the average Prague C score so that those who are taking
# too few biopsies can be determined
hh<-BarrettsBxQual(b1,'Date.x','HospitalNumber',
'Endoscopist')
rm(v)
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