Tracking type specific prevalence of human Papillomavirus in cervical pre-cancer: a novel sampling strategy

<p>Abstract</p> <p>Background</p> <p>Surveillance designed to detect changes in the type-specific distribution of HPV in cervical intraepithelial neoplasia grade 3 (CIN-3) is necessary to evaluate the effectiveness of the Australian vaccination programme on cancer causi...

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Main Authors: Waters Edward K, Kaldor John, Hamilton Andrew J, Smith Anthony MA, Philp David J, Donovan Basil, Regan David G
Format: Article
Language:English
Published: BMC 2012-06-01
Series:BMC Medical Research Methodology
Online Access:http://www.biomedcentral.com/1471-2288/12/77
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spelling doaj-96052271b44e4ef6b31ed8ff9381d4b72020-11-24T21:36:34ZengBMCBMC Medical Research Methodology1471-22882012-06-011217710.1186/1471-2288-12-77Tracking type specific prevalence of human Papillomavirus in cervical pre-cancer: a novel sampling strategyWaters Edward KKaldor JohnHamilton Andrew JSmith Anthony MAPhilp David JDonovan BasilRegan David G<p>Abstract</p> <p>Background</p> <p>Surveillance designed to detect changes in the type-specific distribution of HPV in cervical intraepithelial neoplasia grade 3 (CIN-3) is necessary to evaluate the effectiveness of the Australian vaccination programme on cancer causing HPV types. This paper develops a protocol that eliminates the need to calculate required sample size; sample size is difficult to calculate in advance because HPV’s true type-specific prevalence is imperfectly known.</p> <p>Method</p> <p>A truncated sequential sampling plan that collects a variable sample size was designed to detect changes in the type-specific distribution of HPV in CIN-3. Computer simulation to evaluate the accuracy of the plan at classifying the prevalence of an HPV type as low (< 5%), moderate (5-15%), or high (> 15%) and the average sample size collected was conducted and used to assess its appropriateness as a surveillance tool.</p> <p>Results</p> <p>The plan classified the proportion of CIN-3 lesions positive for an HPV type very accurately, with >90% of simulations correctly classifying a simulated data-set with known prevalence. Misclassifying an HPV type of high prevalence as being of low prevalence, arguably the most serious kind of potential error, occurred < 0.05 times per 100 simulations. A much lower sample size (21–22 versus 40–48) was required to classify samples of high rather than low or moderate prevalence.</p> <p>Conclusions</p> <p>Truncated sequential sampling enables the proportion of CIN-3 due to an HPV type to be accurately classified using small sample sizes. Truncated sequential sampling should be used for type-specific HPV surveillance in the vaccination era.</p> http://www.biomedcentral.com/1471-2288/12/77
collection DOAJ
language English
format Article
sources DOAJ
author Waters Edward K
Kaldor John
Hamilton Andrew J
Smith Anthony MA
Philp David J
Donovan Basil
Regan David G
spellingShingle Waters Edward K
Kaldor John
Hamilton Andrew J
Smith Anthony MA
Philp David J
Donovan Basil
Regan David G
Tracking type specific prevalence of human Papillomavirus in cervical pre-cancer: a novel sampling strategy
BMC Medical Research Methodology
author_facet Waters Edward K
Kaldor John
Hamilton Andrew J
Smith Anthony MA
Philp David J
Donovan Basil
Regan David G
author_sort Waters Edward K
title Tracking type specific prevalence of human Papillomavirus in cervical pre-cancer: a novel sampling strategy
title_short Tracking type specific prevalence of human Papillomavirus in cervical pre-cancer: a novel sampling strategy
title_full Tracking type specific prevalence of human Papillomavirus in cervical pre-cancer: a novel sampling strategy
title_fullStr Tracking type specific prevalence of human Papillomavirus in cervical pre-cancer: a novel sampling strategy
title_full_unstemmed Tracking type specific prevalence of human Papillomavirus in cervical pre-cancer: a novel sampling strategy
title_sort tracking type specific prevalence of human papillomavirus in cervical pre-cancer: a novel sampling strategy
publisher BMC
series BMC Medical Research Methodology
issn 1471-2288
publishDate 2012-06-01
description <p>Abstract</p> <p>Background</p> <p>Surveillance designed to detect changes in the type-specific distribution of HPV in cervical intraepithelial neoplasia grade 3 (CIN-3) is necessary to evaluate the effectiveness of the Australian vaccination programme on cancer causing HPV types. This paper develops a protocol that eliminates the need to calculate required sample size; sample size is difficult to calculate in advance because HPV’s true type-specific prevalence is imperfectly known.</p> <p>Method</p> <p>A truncated sequential sampling plan that collects a variable sample size was designed to detect changes in the type-specific distribution of HPV in CIN-3. Computer simulation to evaluate the accuracy of the plan at classifying the prevalence of an HPV type as low (< 5%), moderate (5-15%), or high (> 15%) and the average sample size collected was conducted and used to assess its appropriateness as a surveillance tool.</p> <p>Results</p> <p>The plan classified the proportion of CIN-3 lesions positive for an HPV type very accurately, with >90% of simulations correctly classifying a simulated data-set with known prevalence. Misclassifying an HPV type of high prevalence as being of low prevalence, arguably the most serious kind of potential error, occurred < 0.05 times per 100 simulations. A much lower sample size (21–22 versus 40–48) was required to classify samples of high rather than low or moderate prevalence.</p> <p>Conclusions</p> <p>Truncated sequential sampling enables the proportion of CIN-3 due to an HPV type to be accurately classified using small sample sizes. Truncated sequential sampling should be used for type-specific HPV surveillance in the vaccination era.</p>
url http://www.biomedcentral.com/1471-2288/12/77
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