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Risk of Pelvic Inflammatory Disease Following Chlamydia trachomatis Infection: Analysis of Prospective Studies With a Multistate Model

Our objective in this study was to estimate the probability that a Chlamydia trachomatis (CT) infection will cause an episode of clinical pelvic inflammatory disease (PID) and the reduction in such episodes among women with CT that could be achieved by annual screening. We reappraised evidence from...

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Autores principales: Price, Malcolm J., Ades, A. E., De Angelis, Daniela, Welton, Nicky J., Macleod, John, Soldan, Kate, Simms, Ian, Turner, Katy, Horner, Paddy J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3727337/
https://www.ncbi.nlm.nih.gov/pubmed/23813703
http://dx.doi.org/10.1093/aje/kws583
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author Price, Malcolm J.
Ades, A. E.
De Angelis, Daniela
Welton, Nicky J.
Macleod, John
Soldan, Kate
Simms, Ian
Turner, Katy
Horner, Paddy J.
author_facet Price, Malcolm J.
Ades, A. E.
De Angelis, Daniela
Welton, Nicky J.
Macleod, John
Soldan, Kate
Simms, Ian
Turner, Katy
Horner, Paddy J.
author_sort Price, Malcolm J.
collection PubMed
description Our objective in this study was to estimate the probability that a Chlamydia trachomatis (CT) infection will cause an episode of clinical pelvic inflammatory disease (PID) and the reduction in such episodes among women with CT that could be achieved by annual screening. We reappraised evidence from randomized controlled trials of screening and controlled observational studies that followed untreated CT-infected and -uninfected women to measure the development of PID. Data from these studies were synthesized using a continuous-time Markov model which takes into account the competing risk of spontaneous clearance of CT. Using a 2-step piecewise homogenous Markov model that accounts for the distinction between prevalent and incident infections, we investigated the possibility that the rate of PID due to CT is greater during the period immediately following infection. The available data were compatible with both the homogenous and piecewise homogenous models. Given a homogenous model, the probability that a CT episode will cause clinical PID was 0.16 (95% credible interval (CrI): 0.06, 0.25), and annual screening would prevent 61% (95% CrI: 55, 67) of CT-related PID in women who became infected with CT. Assuming a piecewise homogenous model with a higher rate during the first 60 days, corresponding results were 0.16 (95% CrI: 0.07, 0.26) and 55% (95% CrI: 32, 72), respectively.
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spelling pubmed-37273372013-07-30 Risk of Pelvic Inflammatory Disease Following Chlamydia trachomatis Infection: Analysis of Prospective Studies With a Multistate Model Price, Malcolm J. Ades, A. E. De Angelis, Daniela Welton, Nicky J. Macleod, John Soldan, Kate Simms, Ian Turner, Katy Horner, Paddy J. Am J Epidemiol Practice of Epidemiology Our objective in this study was to estimate the probability that a Chlamydia trachomatis (CT) infection will cause an episode of clinical pelvic inflammatory disease (PID) and the reduction in such episodes among women with CT that could be achieved by annual screening. We reappraised evidence from randomized controlled trials of screening and controlled observational studies that followed untreated CT-infected and -uninfected women to measure the development of PID. Data from these studies were synthesized using a continuous-time Markov model which takes into account the competing risk of spontaneous clearance of CT. Using a 2-step piecewise homogenous Markov model that accounts for the distinction between prevalent and incident infections, we investigated the possibility that the rate of PID due to CT is greater during the period immediately following infection. The available data were compatible with both the homogenous and piecewise homogenous models. Given a homogenous model, the probability that a CT episode will cause clinical PID was 0.16 (95% credible interval (CrI): 0.06, 0.25), and annual screening would prevent 61% (95% CrI: 55, 67) of CT-related PID in women who became infected with CT. Assuming a piecewise homogenous model with a higher rate during the first 60 days, corresponding results were 0.16 (95% CrI: 0.07, 0.26) and 55% (95% CrI: 32, 72), respectively. Oxford University Press 2013-08-01 2013-06-27 /pmc/articles/PMC3727337/ /pubmed/23813703 http://dx.doi.org/10.1093/aje/kws583 Text en © The Author 2013. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Practice of Epidemiology
Price, Malcolm J.
Ades, A. E.
De Angelis, Daniela
Welton, Nicky J.
Macleod, John
Soldan, Kate
Simms, Ian
Turner, Katy
Horner, Paddy J.
Risk of Pelvic Inflammatory Disease Following Chlamydia trachomatis Infection: Analysis of Prospective Studies With a Multistate Model
title Risk of Pelvic Inflammatory Disease Following Chlamydia trachomatis Infection: Analysis of Prospective Studies With a Multistate Model
title_full Risk of Pelvic Inflammatory Disease Following Chlamydia trachomatis Infection: Analysis of Prospective Studies With a Multistate Model
title_fullStr Risk of Pelvic Inflammatory Disease Following Chlamydia trachomatis Infection: Analysis of Prospective Studies With a Multistate Model
title_full_unstemmed Risk of Pelvic Inflammatory Disease Following Chlamydia trachomatis Infection: Analysis of Prospective Studies With a Multistate Model
title_short Risk of Pelvic Inflammatory Disease Following Chlamydia trachomatis Infection: Analysis of Prospective Studies With a Multistate Model
title_sort risk of pelvic inflammatory disease following chlamydia trachomatis infection: analysis of prospective studies with a multistate model
topic Practice of Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3727337/
https://www.ncbi.nlm.nih.gov/pubmed/23813703
http://dx.doi.org/10.1093/aje/kws583
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