Overestimating resistance in field testing of malaria parasites: simple methods for estimating high EC<sub>50 </sub>values using a Bayesian approach

<p>Abstract</p> <p>Conventional methods of assessing in-vitro antimalarial drug-concentration effect relationships in field testing of fresh isolates assess each parasite isolate individually. This leads to systematic overestimation of EC<sub>50 </sub>values for the mos...

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Main Authors: Brockman Alan, Chotivanich Kesinee, Stepniewska Kasia, Day Nicholas PJ, White Nicholas J
Format: Article
Language:English
Published: BMC 2007-01-01
Series:Malaria Journal
Online Access:http://www.malariajournal.com/content/6/1/4
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spelling doaj-b6df19e3749e43599f986904ae02102d2020-11-24T21:19:07ZengBMCMalaria Journal1475-28752007-01-0161410.1186/1475-2875-6-4Overestimating resistance in field testing of malaria parasites: simple methods for estimating high EC<sub>50 </sub>values using a Bayesian approachBrockman AlanChotivanich KesineeStepniewska KasiaDay Nicholas PJWhite Nicholas J<p>Abstract</p> <p>Conventional methods of assessing in-vitro antimalarial drug-concentration effect relationships in field testing of fresh isolates assess each parasite isolate individually. This leads to systematic overestimation of EC<sub>50 </sub>values for the most resistant isolates, and thus overestimation of the degree of resistance. In antimalarial drug-susceptibility studies conducted on the north-western border of Thailand the overestimation of EC<sub>50 </sub>for the most resistant isolate ranged from 15% for artesunate to 43% for mefloquine. If isolates cannot be stored for re-testing, more accurate estimations of the degree of resistance can be obtained using a Bayesian approach to data analysis which is described here.</p> http://www.malariajournal.com/content/6/1/4
collection DOAJ
language English
format Article
sources DOAJ
author Brockman Alan
Chotivanich Kesinee
Stepniewska Kasia
Day Nicholas PJ
White Nicholas J
spellingShingle Brockman Alan
Chotivanich Kesinee
Stepniewska Kasia
Day Nicholas PJ
White Nicholas J
Overestimating resistance in field testing of malaria parasites: simple methods for estimating high EC<sub>50 </sub>values using a Bayesian approach
Malaria Journal
author_facet Brockman Alan
Chotivanich Kesinee
Stepniewska Kasia
Day Nicholas PJ
White Nicholas J
author_sort Brockman Alan
title Overestimating resistance in field testing of malaria parasites: simple methods for estimating high EC<sub>50 </sub>values using a Bayesian approach
title_short Overestimating resistance in field testing of malaria parasites: simple methods for estimating high EC<sub>50 </sub>values using a Bayesian approach
title_full Overestimating resistance in field testing of malaria parasites: simple methods for estimating high EC<sub>50 </sub>values using a Bayesian approach
title_fullStr Overestimating resistance in field testing of malaria parasites: simple methods for estimating high EC<sub>50 </sub>values using a Bayesian approach
title_full_unstemmed Overestimating resistance in field testing of malaria parasites: simple methods for estimating high EC<sub>50 </sub>values using a Bayesian approach
title_sort overestimating resistance in field testing of malaria parasites: simple methods for estimating high ec<sub>50 </sub>values using a bayesian approach
publisher BMC
series Malaria Journal
issn 1475-2875
publishDate 2007-01-01
description <p>Abstract</p> <p>Conventional methods of assessing in-vitro antimalarial drug-concentration effect relationships in field testing of fresh isolates assess each parasite isolate individually. This leads to systematic overestimation of EC<sub>50 </sub>values for the most resistant isolates, and thus overestimation of the degree of resistance. In antimalarial drug-susceptibility studies conducted on the north-western border of Thailand the overestimation of EC<sub>50 </sub>for the most resistant isolate ranged from 15% for artesunate to 43% for mefloquine. If isolates cannot be stored for re-testing, more accurate estimations of the degree of resistance can be obtained using a Bayesian approach to data analysis which is described here.</p>
url http://www.malariajournal.com/content/6/1/4
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