Overestimating resistance in field testing of malaria parasites: simple methods for estimating high EC50 values using a Bayesian approach

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 EC50 values for the most resistant isolates, and thus overestimation of the degree...

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Main Authors:	Stepniewska, Kasia, Chotivanich, Kesinee, Brockman, Alan, Day, Nicholas PJ, White, Nicholas J
Format:	Online
Language:	English
Published:	BioMed Central 2007
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1794247/

id	pubmed-1794247
recordtype	oai_dc
spelling	pubmed-17942472007-02-16 Overestimating resistance in field testing of malaria parasites: simple methods for estimating high EC50 values using a Bayesian approach Stepniewska, Kasia Chotivanich, Kesinee Brockman, Alan Day, Nicholas PJ White, Nicholas J Review 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 EC50 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 EC50 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. BioMed Central 2007-01-17 /pmc/articles/PMC1794247/ /pubmed/17229314 http://dx.doi.org/10.1186/1475-2875-6-4 Text en Copyright © 2007 Stepniewska et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Stepniewska, Kasia Chotivanich, Kesinee Brockman, Alan Day, Nicholas PJ White, Nicholas J
spellingShingle	Stepniewska, Kasia Chotivanich, Kesinee Brockman, Alan Day, Nicholas PJ White, Nicholas J Overestimating resistance in field testing of malaria parasites: simple methods for estimating high EC50 values using a Bayesian approach
author_facet	Stepniewska, Kasia Chotivanich, Kesinee Brockman, Alan Day, Nicholas PJ White, Nicholas J
author_sort	Stepniewska, Kasia
title	Overestimating resistance in field testing of malaria parasites: simple methods for estimating high EC50 values using a Bayesian approach
title_short	Overestimating resistance in field testing of malaria parasites: simple methods for estimating high EC50 values using a Bayesian approach
title_full	Overestimating resistance in field testing of malaria parasites: simple methods for estimating high EC50 values using a Bayesian approach
title_fullStr	Overestimating resistance in field testing of malaria parasites: simple methods for estimating high EC50 values using a Bayesian approach
title_full_unstemmed	Overestimating resistance in field testing of malaria parasites: simple methods for estimating high EC50 values using a Bayesian approach
title_sort	overestimating resistance in field testing of malaria parasites: simple methods for estimating high ec50 values using a bayesian approach
description	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 EC50 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 EC50 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.
publisher	BioMed Central
publishDate	2007
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1794247/
_version_	1611393990735691776

Overestimating resistance in field testing of malaria parasites: simple methods for estimating high EC50 values using a Bayesian approach

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