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Image %LIGHTBOX{ image="ReportsBySOC.jpg" thumbnail="tn_ReportsBySOC.jpg" caption="Reports by SOC"}% Click on image to enlarge.
Title Reports by SOC
Graph_Subgroup General Principles
Code Added Yes
Description For each source of the report the number of subjects experiencing an AE according to the SOC is plotted in which the SOC are sorted according the to most frequent reported AE's within a SOC for those reported by Consumers.
Contributor/Email Mat Soukup (email: Mat.Soukup@fda.hhs.gov)
Background The graphic is based on an early example included in the MedDRA Document: MedDRA Data Retrieval and Presentation: Points to Consider.
Special Considerations
Date Original
Original Date 2007
Modified Date
Use/Suitability Presentation
Software Program R
Software
R-Code - Attachment R-script: Reports by SOC
R-Code ####### ------ Plot of the Number of Reports by SOC ------- #####
name <- c("Blood and the lymphatic system disorders", <br /> "Cardiac disorders",
"Congenital and familial/genetic disorders",
"Ear and labyrinth disorders",
"Endocrine disorders",
"Eye disorders",
"Gastrointestinal disorders",
"General disorders and administration site conditions",
"Hepato-biliary disorders",
"Immune system disorders",
"Infections and infestations",
"Injury, poisoning and procedural complications",
"Investigations",
"Metabolism and nutrition disorders",
"Musculoskeletal and connective tissue disorders",
"Neoplasms benign, malignant, and unspecified",
"Nervous system disorders",
"Pregnancy, puerperium and perinatal conditions",
"Psychiatric disorders",
"Renal and urinary disorders",
"Reproductive system and breast disorders",
"Respiratory, thoracic and mediastinal disorders",
"Skin and subcutaneous tissue disorders",
"Social circumstances",
"Surgical and medical procedures",
"Vascular disorders")
freq <- c(0,100,0,325,0,270,860,875,0,85,60,250,470,60,290,0,1350,0,1475,<br /> 105,320,211,1050,5,0,90,100,340,0,450,30,350,815,850,35,330,70,
470,520,75,435,15,2850,3,1325,300,455,320,1825,5,4,335)
grp <- rep(c('Consumers','Health Care Prof'), each=26)<br />
dat <- data.frame(name=rep(name,2), freq, grp)<br />
# Sort the factors based on HC frequencies
library(gdata)
sortmat <- function (Mat, Sort) { <br /> m <- do.call("order", as.data.frame(Mat[, Sort])) <br /> Mat[m, ]
}
dats <- sortmat(subset(dat, grp%in%'Consumers'), 2)<br />
dat1s <- data.frame(name=datsRCode,<br /> freq=datsfreq,
grp=rep(c('Consumers','Health Care Prof'), each=26))
oNames <- datsRCode <br />datRCode2 <- reorder(datRCode, new.order=oNames)<br />
#png('C:/Research/Graphics/Graphs4Display/webpages/classes/pages/images/ReportsBySOC.png',
# width=900, height=625)
new.back <- trellis.par.get("background")<br />new.back$col <- "white"<br />newcol <- trellis.par.get("superpose.symbol")<br />newcol$col <- c('green4','blue')<br />newcol$pch <- c(16,17,8)<br />new.line <- trellis.par.get("superpose.line")<br />new.line$col <- c('green4','blue')<br />new.line$lty <- c(1,1,1,1)<br />new.pan <- trellis.par.get("strip.background")<br />new.pan$col <- c('gray90','white')<br />trellis.par.set("background", new.back)
trellis.par.set("superpose.symbol", newcol)
trellis.par.set("superpose.line", new.line)
trellis.par.set("strip.background",new.pan)

dotplot(name2~freq, groups=grp, data=dat,
xlab='Number of Reports',
panel=function(x,y,...){
llines(c(0,0), c(-5,105), col='grey90', lty=2)
llines(c(500,500), c(-5,105), col='grey90', lty=2)
llines(c(1000,1000), c(-5,105), col='grey90', lty=2)
llines(c(1500,1500), c(-5,105), col='grey90', lty=2)
llines(c(2000,2000), c(-5,105), col='grey90', lty=2)
llines(c(2500,2500), c(-5,105), col='grey90', lty=2)
llines(c(3000,3000), c(-5,105), col='grey90', lty=2)
panel.dotplot(x,y, col.line='grey70', ...)
},
scales=list(x=list(at=seq(0,3000, 500), labels=seq(0,3000,500))),
key=list(points=list(
pch=trellis.par.get("superpose.symbol")$pch[1:2],
col=trellis.par.get("superpose.symbol")$col[1:2]),
text=list(
lab=c('Consumers','Health Care Prof.'),
col=trellis.par.get("superpose.symbol")$col[1:2]),
columns=2, title='Source of Report'),
sub='Patient Population 1'
)
#dev.off()
SAS-Code - Attachment
SAS-Code
Stata-Code - Attachment
Stata-Code
Other Code - Attachment
Other Code
Keywords safety analysis, adverse event, system organ classification
OPTIONAL FIELDS
References MedDRA Data Retrieval and Presentation: Points to Consider.
Datasets
Data
Attached Data
CATEGORIZATIONS
Classification-Evaluation Safety
Classification-Graph Type
Graph_Type
Variable Relationship Continuous versus Categorical
Data Types Categorical and Continuous
Special Cases
Disclaimer The views expressed within CTSpedia are those of the author and must not be taken to represent policy or guidance on the behalf of any organization or institution with which the author is affiliated.
Permission Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

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Reference Image ReportsBySOC_referemce_200.jpg
This topic: CTSpedia > WebHome > StatGraphHome > ContributeGraphics > StatGraphTopic011
Topic revision: 30 Mar 2012, MaryBanach
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