Imperial College London
Alternate

Professor Sir Roy Anderson FRS, FMedSci

Faculty of Medicine, School of Public Health

Professor in Infectious Disease Epidemiology
 
 
 
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Contact

 

roy.anderson Website

 
 
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Assistant

 

Mrs Clare Mylchreest +44 (0)7766 331 301

 
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Location

 

LG35Norfolk PlaceSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Hadjichrysanthou:2018:10.1371/journal.pone.0190615,
author = {Hadjichrysanthou, C and Ower, AK and de, Wolf F and Anderson, RM},
doi = {10.1371/journal.pone.0190615},
journal = {PLOS ONE},
title = {The development of a stochastic mathematical model of Alzheimer's disease to help improve the design of clinical trials of potential treatments},
url = {http://dx.doi.org/10.1371/journal.pone.0190615},
volume = {13},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Alzheimer’sdisease(AD)is a neurodegenerative disordercharacterisedbya slowprogres-sivedeteriorationof cognitivecapacity.Drugsareurgentlyneededforthetreatmentof ADandunfortunatelyalmostallclinicaltrialsof ADdrugcandidateshavefailedor beendiscon-tinuedto date.Mathematical,computationalandstatisticaltoolscanbeemployedin theconstructionof clinicaltrialsimulatorsto assistin theimprovementof trialdesignandenhancethechancesof successof potentialnewtherapies.Basedontheanalysisof a setof clinicaldataprovidedbytheAlzheimer’sDiseaseNeuroimagingInitiative(ADNI)wedevelopeda simplestochasticmathematicalmodelto simulatethedevelopmentandpro-gressionof Alzheimer’sin a longitudinalcohortstudy.Weshowhowthismodellingframe-workcouldbeusedto assesstheeffectandthechancesof successof hypotheticaltreatmentsthatareadministeredat differentstagesanddelaydiseasedevelopment.Wedemonstratethatthedetectionof thetrueefficacyof anADtreatmentcanbeverychalleng-ing,evenif thetreatmentis highlyeffective.Animportantreasonbehindtheinabilitytodetectsignalsof efficacyin a clinicaltrialin thistherapyareacouldbethehighbetween-andwithin-individualvariabilityin themeasurement of diagnosticmarkersandendpoints,whichconsequentlyresultsin themisdiagnosisof anindividual’sdiseasestate.
AU  - Hadjichrysanthou,C
AU  - Ower,AK
AU  - de,Wolf F
AU  - Anderson,RM
DO  - 10.1371/journal.pone.0190615
PY  - 2018///
SN  - 1932-6203
TI  - The development of a stochastic mathematical model of Alzheimer's disease to help improve the design of clinical trials of potential treatments
T2  - PLOS ONE
UR  - http://dx.doi.org/10.1371/journal.pone.0190615
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000423514700007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/59791
VL  - 13
ER  -
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