jmp clinical® 4 0clinical® 4 - home | meduni · pdf filejmp clinical software from sas...

45
JMP Clinical® 4 0 JMP Clinical® 4.0 adds Ways to Explore Clinical Trials Data Visually Dr. Valerie Nedbal JMP Pharmaceutical Technical Manager SAS Institute Copyright © 2010 SAS Institute Inc. All rights reserved.

Upload: phungminh

Post on 28-Feb-2018

222 views

Category:

Documents


3 download

TRANSCRIPT

JMP Clinical® 4 0JMP Clinical® 4.0adds Ways to Explore Clinical Trials Data Visually

Dr. Valerie NedbalJMP Pharmaceutical Technical Manager

SAS Institute

Copyright © 2010 SAS Institute Inc. All rights reserved.

JMP Clinical is Parts of the JMP Family for Statistical DiscoveryStatistical Discovery

2

Copyright © 2010, SAS Institute Inc. All rights reserved.

What is JMP® Clinical? JMP Clinical software from SAS shortens the drug development 

process by streamlining both internal safety reviews during preclinical, clinical trials and final evaluation by the Food andpreclinical, clinical trials and final evaluation by the Food and Drug Administration (FDA). 

JMP Clinical creates reports from standard Clinical Data I h S d d C i (CDISC) d S d d fInterchange Standards Consortium (CDISC) and Standard for Exchange of Non‐Clinical Data (SEND) data, facilitating communication between (pre‐) clinicians and biostatisticians at the sponsor organization and subsequently between sponsorsthe sponsor organization and, subsequently, between sponsors and FDA reviewers. 

It targets Pharmacovigilance sector by using the 4 industry g g y g ystandards algorithms for signal detection in the disproportionality analysis 

It dynamically links advanced statistics and graphics enabling It dynamically links advanced statistics and graphics, enabling sophisticated analysis in a user‐friendly environment. 

Interactive graphs offer multiple views of patient profiles and 3

Copyright © 2010, SAS Institute Inc. All rights reserved.

reveal hidden patterns in drug‐drug, drug‐adverse events interactions. 

JMP® Clinical is the de facto standard for clinical data analysis softwareclinical data analysis software.

It uses standard data (CDISC: SDTM & ADaM; SEND)

It follows standard reporting recommended by medical authorities reviewer guidance (ICH‐E3)

It is based on industry standard tools (JMP and SAS) JMP is the most widely used review tool at the FDA (40% of 

d l / )medical reviewers at CDER/CBER) JMP is used at the EMEA in Pharmacovigilance JMP is widely used in clinical groups at sponsors JMP is widely used in clinical groups at sponsors SAS is the standard analysis and reporting tool of biostatistics groups at sponsors

4

Copyright © 2010, SAS Institute Inc. All rights reserved.

JMP® ClinicalPourquoi integrer SAS et JMP

Highly Visual

JMP seul sur un ordinateur de bureau offre une plate-

Interactive GraphicsIntuitive

JMP seul sur un ordinateur de bureau offre une plate-forme hautement productive pour visualiser, explorer et modeler de données.

S S (S S/ S S/S ) Par contre, SAS (SAS/Base, SAS/STAT) est utilisé comme un environnement de «haute production de données», et fourni des outils a l'accès aux données, la manipulation et l' l d d é

+l'analyse de données

Les avantages de la combinaison de SAS JMP: Les scientifiques utilisent JMP à explorer, visualiser et à es sc e t ques ut se t J à e p o e , sua se et àmodeler de données. L’approche de l'analyse est alors déployé par SAS, celle-ci effectue la manipulation des données, et l'analyse statistique de haute qualité afin de

ScalableValidated Powerful Analytics

5

Copyright © 2010, SAS Institute Inc. All rights reserved.

, y q qles visualiser dans JMP

a dated o e u a yt cs

JMP® Clinical Platform

Consumers Visual Reporting ProcessKnowledgeDeployment p gDeployment

Workflows

Producers Statistical Reporting ToolsKnowledgeGeneration

SASGeneration

Data Layer6

Copyright © 2010, SAS Institute Inc. All rights reserved.

yDataGathering

SDTM, ADAM, SEND

SDTM data example 

Interventions EX – Exposure CM – Concomitant Medications SU – Substance Use

Events AE – Adverse Events DS – Disposition MH – Medical History

Findings LB – Laboratory Tests VS – Vital Signs

PE Ph i l E i ti PE – Physical Examinations EG – ECG Tests IE - Inclusion/Exclusion Exceptions SC Subject Characteristics SC - Subject Characteristics

Others – Special Purpose Domains DM – Demographics

7

Copyright © 2010, SAS Institute Inc. All rights reserved.

JMP® Clinical Processes on the shelf

JMP Clinical has all processes in place togo through a standard clinical reviewgo through a standard clinical reviewprocess.

Based on the availability of the different Based on the availability of the different data domains, you will be able tographically review : Interventions, Events, Findings, Special All Graphics linked to the data, with drill‐down 

ti d ti t filoptions and patient profiles

8

Copyright © 2010, SAS Institute Inc. All rights reserved.

Reports when a process is run

9

Copyright © 2010, SAS Institute Inc. All rights reserved.

Reports when a process is run

10

Copyright © 2010, SAS Institute Inc. All rights reserved.

Reports display when a process is run

11

Copyright © 2010, SAS Institute Inc. All rights reserved.

Reports when a process is run

12

Copyright © 2010, SAS Institute Inc. All rights reserved.

Reports when a process is run

13

Copyright © 2010, SAS Institute Inc. All rights reserved.

Reports when a process is run

14

Copyright © 2010, SAS Institute Inc. All rights reserved.

Reports when a process is run

15

Copyright © 2010, SAS Institute Inc. All rights reserved.

Fast Getting Started: Basic Safety WorkflowY i ht b d i i il i t hYou might be doing many similar experiments wherethe analytic methods used must be the same time after time. JMP Clinical has a remarkable flexibility how to proceedJMP Clinical has a remarkable flexibility how to proceed with your analysis. A  very simple and not doubt an extremely fast way how to proceed, is the Basic Safety WorkflowWorkflow. 

Flexibility of whichapplications to be run

One Single Dialog to run a complete set of clinical safety

16

Copyright © 2010, SAS Institute Inc. All rights reserved.

complete set of clinical safety reports

A complete set of reports that embrace the clinical safety review processclinical safety review process

17

Copyright © 2010, SAS Institute Inc. All rights reserved.

Benefits for producers and consumers

JMP Clinical streamlines the clinical reporting and reviewing process by:

Faster and easier safety review process by delivering unparalleled flexibility, point and click and drill down 

process by:

p y, pfunctionalities for exploring prominent results in more detail.

Lower cost‐to‐market via better decision making on safety outcomes: JMP Clinical reduces the false discovery rate, by mitigating the risk of over reporting adverse eventsmitigating the risk of over‐reporting adverse events.

Spending time more efficiently in the safety review process: more time spend by exploring patterns andprocess: more time spend by exploring patterns and predicting outcomes in clinical trials data – and less time programming or manipulating data tables. 

18

Copyright © 2010, SAS Institute Inc. All rights reserved.

JMP® Clinical Data Analysis WorkflowLive Demonstration

Copyright © 2010 SAS Institute Inc. All rights reserved.

The Study Design

The Clinical Study used is the following:  Nicardipine treatment of 906 subjects that had Subarachnoid

Hemorrhage.

All the patients were included in a randomized double‐blind placebo‐All the patients were included in a randomized double blind placebocontrolled study; 449 patients received Nicardipine while 457 receivedthe placebo.

i i h b l d i h d i f Patients in each group were balanced with regard to prognostic factorsfor overall outcome.

Nicardipine and the placebo were delivered continuously at 0.15 mg forNicardipine and the placebo were delivered continuously at 0.15 mg forup to 14 days and patients were followed for up to 120 days followingadministration of the drugs.

R lt f tt d di t th CDISC St d T b l ti M d l Results are formatted according to the CDISC Study Tabulation Model.

20

Copyright © 2010, SAS Institute Inc. All rights reserved.

JMP® Clinical Starter Menu

JMP Clinical comes with its JMP Clinical Starter. 

This dialog enablest i kl i d ll JMPyou to quickly view and access all JMP 

Clinical, workflows, and applications.

The order of this menu is importantThe order of this menu is important.It follows roughly the order described in the ICH‐E3 reviewer guidance

21

Copyright © 2010, SAS Institute Inc. All rights reserved.

JMP® Clinical Starter MenuJMP Clinical comes with its JMP Clinical Starter. 

This dialog enablesyou to quickly view and access all JMP Clinical, workflows, and applications.

The Applications are ordered in categories and subcategories for the ease of use

22

Copyright © 2010, SAS Institute Inc. All rights reserved.

JMP® Clinical Analysis WorkflowVisualize relationships between demographic characteristics and treatment groups

One would need to check for consistency in the demographics distributions to evaluate any significant deviation among age, sex ,race groups and sites within the different treatment groups

23

Copyright © 2010, SAS Institute Inc. All rights reserved.

JMP® Clinical Analysis WorkflowDemographic

Att ib tPatient profile

of a specific subjects

Attributes

Review StatusNotification

Medical History

24

Copyright © 2010, SAS Institute Inc. All rights reserved.

JMP® Clinical Analysis WorkflowPatient Narratives

25

Copyright © 2010, SAS Institute Inc. All rights reserved.

JMP® Clinical Analysis Workflow

The Process shows the distribution of theThe Process shows the distribution of the review status of subjects in a study. 

26

Copyright © 2010, SAS Institute Inc. All rights reserved.

JMP® Clinical Analysis Workflow

Visualize Relationships between Mortality Rate and treatment groups

It is Important to know if there are significant deviations in the mortality rate across treatment groups

27

Copyright © 2010, SAS Institute Inc. All rights reserved.

JMP® Clinical Analysis Workflow

Visualise significance analysis tests reports of Adverse EventsOnce adverse events have been detected, it is important to find out if those are significant by means of Fisher’s exact test or for more complex models, by Mixed Model Analysis. f p y y

12

14Bubble Plot of -log10(Raw p-value) by Risk Difference Sized by Count Ratio=NIC .15 over Placebo

8

10

-val

ue)

2

4

6-lo

g10(

Raw

p-

-2

0

2

-0.2 -0.15 -0.1 -0.05 0 0.05 0.1 0.15 0.2Ri k Diff

28

Copyright © 2010, SAS Institute Inc. All rights reserved.

Risk Difference

Risk in Placebo Risk in NIC .15

Circle Size

10

12

14Bubble Plot of -log10(Raw p-value) by Risk Difference Sized by Count Ratio=NIC .15 over Placebo

4

6

8

-log1

0(R

aw p

-val

ue)

Drill Down Options

-2

0

2

-0.2 -0.15 -0.1 -0.05 0 0.05 0.1 0.15 0.2Risk Difference

Drill Down OptionsFrom the incidenceScreen platform

Drill down to  Relative Risk  Venn Diagram

Risk Difference

Risk in Placebo Risk in NIC .15

Circle Size

Dot Plot PlotVenn Diagram

29

Copyright © 2010, SAS Institute Inc. All rights reserved.

JMP® Clinical Analysis WorkflowVisualise significant analysis test reports of lab measurements

Which Lab measurements are significantly different across treatment groups and have potentially higher risk to occur?

30

Copyright © 2010, SAS Institute Inc. All rights reserved.

JMP® Clinical Analysis WorkflowMonitor Animated Patients Laboratory Tests to detect Hy’s Law Profiles 

Quickly identify subjects with high risk of liver toxicity, meeting the criteria of Hy’s Law.

31

Copyright © 2010, SAS Institute Inc. All rights reserved.

JMP® Clinical Analysis WorkflowScreen for Hy’s Law Profiles 

Quickly identify subjects with high risk of liver toxicityQuickly identify subjects with high risk of liver toxicity, meeting the criteria of Hy’s Law and drill down to patient profiles

32

Copyright © 2010, SAS Institute Inc. All rights reserved.

JMP® Clinical Analysis WorkflowScreen for Hy’s Law Profiles 

Quickly identify subjects with high risk of liver toxicityQuickly identify subjects with high risk of liver toxicity, meeting the criteria of Hy’s Law and drill down to patient profiles

Link those subjects to 

patient profilepatient profile

33

Copyright © 2010, SAS Institute Inc. All rights reserved.

JMP® Clinical Patient Profiler

34

Copyright © 2010, SAS Institute Inc. All rights reserved.

JMP® Clinical Analysis WorkflowFind out relationships between different domain

JMP Clinical permits clustering of all adverse events, interventions and findings across safety domains. Reviewers can screen concomitant medications and medical history for drug‐drug and drug‐disease interactions, respectively, and fi d l i hifind out relationships. 

35

Copyright © 2010, SAS Institute Inc. All rights reserved.

JMP® Clinical Analysis Workflow

The Process creates various standard safety tabular reports in rtf pdf html orsafety tabular reports in rtf, pdf, html, or plain text format 

36

Copyright © 2010, SAS Institute Inc. All rights reserved.

JMP Clinical Disproportionality Analysis for Signal Detectionfor Signal Detection

The Disproportionality analysis in JMP Clinical includes the 4 industry standardClinical includes the 4 industry standard disproportionality analyses used for signal detection. PRR, ROR, MGPS and BCPNN

37

Copyright © 2010, SAS Institute Inc. All rights reserved.

JMP Clinical Disproportionality Analysis for Signal Detectionfor Signal Detection

Disproportionality analysis is associated to “Signal Detection” in Pharmacovigilance. 

Pharmacovigilance, abbreviated PV, is the pharmacological science to detect signal or adverse events (ae) once the drug i th k t ( t b i i ) i il t dis on the market (post‐submission), similar to drug‐aesurveillance. 

Th Di ti lit l i i JMP Cli i l i l d th 4 The Disproportionality analysis in JMP Clinical includes the 4 industry standard disproportionality analyses used for signal detection. 

38

Copyright © 2010, SAS Institute Inc. All rights reserved.

JMP Clinical Disproportionality Analysis for Signal Detectionfor Signal Detection

Overall Signal

Detection Summary 

for the 4 algorithms

39

Copyright © 2010, SAS Institute Inc. All rights reserved.

JMP Clinical Disproportionality Analysis for Signal Detectionfor Signal Detection

Tree Map view ofTree Map view of overall AE frequency and signal detection 

(hcategory (here an example of BCPNN)

40

Copyright © 2010, SAS Institute Inc. All rights reserved.

JMP Clinical Disproportionality Analysis for Signal Detectionfor Signal Detection

Views allowing to cluster either Drugs or AE with

Method = Fast Ward

-0.595

Dendrogram

Hierarchical Clustering

either Drugs or AE with similar behavior

Drug A

Drug C

Drug D

Drug F

Drug L

Drug N

-0.476-0.357-0.238-0.119

05.605411.21116.81622.422

Drug E

Drug G

Drug H

Drug I

Drug J

Drug K

28.027

Drug B

Drug M

Drug O

Drug P

Drug Q

41

Copyright © 2010, SAS Institute Inc. All rights reserved.

Anor

ecta

l dis

orde

r

Asth

enia

Cel

lulit

is

Cer

ebra

l hae

mor

rhag

e

Cer

ebra

l inf

arct

ion

Che

st p

ain

Con

vuls

ion

Del

irium

Dys

pnoe

a

Epis

taxi

s

Extra

ocul

ar m

uscl

e pa

resi

s

Gas

troin

test

inal

nec

rosi

s

Hyp

erhi

dros

is

Hyp

erve

ntila

tion

Hyp

ocal

caem

ia

Hyp

opho

spha

taem

ia

Ileus

par

alyt

ic

Inap

prop

riate

ant

idiu

retic

hor

mon

e se

cret

ion

Intra

card

iac

thro

mbu

s

Myo

card

ial i

nfar

ctio

n

Myo

card

ial i

scha

emia

Otit

is m

edia

Ove

rdos

e

Palp

itatio

ns

Para

lysi

s

Pers

onal

ity d

isor

der

Plat

elet

des

truct

ion

incr

ease

d

Pneu

mot

hora

x

Sial

oade

nitis

Sinu

s he

adac

he

Supr

aven

tricu

lar e

xtra

syst

oles

Teno

syno

vitis

Trac

heob

ronc

hitis

Urin

ary

rete

ntio

n

Vom

iting

Arrh

ythm

ia

Atrio

vent

ricul

ar b

lock

firs

t deg

ree

Atrio

vent

ricul

ar b

lock

sec

ond

degr

ee

Blad

der p

ain

Coa

gulo

path

y

Diz

zine

ss e

xerti

onal

Elec

troca

rdio

gram

T w

ave

ampl

itude

dec

reas

ed

Epen

dym

itis

Extra

dura

l hae

mat

oma

Hae

mol

ysis

Hyp

ogly

caem

ia

Hyp

oxia

Inje

ctio

n si

te a

bsce

ss

Inte

ntio

n tre

mor

Isos

then

uria

Pleu

ral e

ffusi

on

Pyre

xia

Sinu

sitis

Vent

ricul

ar fi

brill

atio

n

Alka

losi

s

Blin

dnes

s

Hyp

erna

traem

ia

Hyp

okal

aem

iaH

ypov

olae

mia

Pneu

moc

epha

lus

Xant

hoch

rom

ia

Atel

ecta

sis

Inte

stin

al p

erfo

ratio

n

Dis

orie

ntat

ion

Subd

ural

hae

mat

oma

Vasc

ular

occ

lusi

on

With

draw

al a

rrhy

thm

iaAr

thra

lgia

Urin

ary

tract

infe

ctio

n

JMP Clinical Disproportionality Analysis for Signal Detectionfor Signal Detection

Views allowing to compare AE frequencyFrequency Count

BCPNN Lower Limit by Strata for HypernatraemiaFrequency Count

BCPNN Lower Limit by Strata for Hypernatraemia

compare AE frequency with Stratification variableDrug K

Drug M

q ySex = FemaleSex = Male

Drug K

Drug M

q ySex = FemaleSex = Male

Drug H

Drug I

Drug H

Drug I

Dru

g

Drug F

Drug G

Dru

g

Drug F

Drug G

Drug D

Drug E

Drug D

Drug E

Drug C

0.0 0.5 1.0 1.5BCPNN Lower Limit

Drug C

0.0 0.5 1.0 1.5BCPNN Lower Limit

42

Copyright © 2010, SAS Institute Inc. All rights reserved.

JMP Clinical Disproportionality Analysis for Signal Detectionfor Signal Detection

Geographical di t ib ti fdistribution of AE frequency

43

Copyright © 2010, SAS Institute Inc. All rights reserved.

Conclusion

JMP® Clinical is

Intuitive, Interactive, Comprehensive, Highly Visual.

JMP  Clinical is

Easy to use Platform embraced at all levels of safety reviewPlatform embraced at all levels of safety review process Facilitates interpretation, communication and reporting Helps users to improve the safety review process better, faster, cheaper 

44

Copyright © 2010, SAS Institute Inc. All rights reserved.

For more information, 

ask for a demo 

i it

htt // j / ft / li i l/

or visit

Copyright © 2010 SAS Institute Inc. All rights reserved.

http://www.jmp.com/software/clinical/