Literature DB >> 22801346

Describing the progression from Chlamydia trachomatis and Neisseria gonorrhoeae to pelvic inflammatory disease: systematic review of mathematical modeling studies.

Sereina A Herzog1, Janneke C M Heijne, Christian L Althaus, Nicola Low.   

Abstract

BACKGROUND: Chlamydia screening is recommended to prevent pelvic inflammatory disease (PID). A systematic review was conducted to determine how the natural history of Chlamydia trachomatis or Neisseria gonorrhoeae infection and progression to PID have been described in mathematical modeling studies.
METHODS: Four databases, from their earliest dates to October 2009, and reference lists of included studies were searched. Models were defined as dynamic if progression from infection to PID was time dependent and static otherwise. Descriptions of the natural history of infection and parameter values used for progression to PID were extracted from all studies. Details of how disease progression was implemented were extracted from reports of dynamic models.
RESULTS: Forty-five publications from 40 unique models were included. Nine models were classed as dynamic, including 4 Markov, 3 compartmental, and 2 individual-based models. There were 28 static decision analysis models. For 3 publications, the model type could not be determined. Among the dynamic models, there were explicit statements that C. trachomatis could progress to PID uniformly throughout the infection, in the first 6 months of infection, in the second half of infection, or that there is a most likely interval from the initial infection for the development of PID, which varies from 1 to 12 months. In static models, the average fraction of cases of chlamydia developing PID was 22%.
CONCLUSION: The reporting of key items in mathematical modeling studies about PID could be improved. The potential timings of progression to PID identified in this review can be investigated further to advance our understanding about how chlamydia screening interventions work to prevent PID.

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Year:  2012        PMID: 22801346     DOI: 10.1097/OLQ.0b013e31825159ff

Source DB:  PubMed          Journal:  Sex Transm Dis        ISSN: 0148-5717            Impact factor:   2.830


  13 in total

1.  Management of Pelvic Inflammatory Disease in Selected U.S. Sexually Transmitted Disease Clinics: Sexually Transmitted Disease Surveillance Network, January 2010-December 2011.

Authors:  Eloisa Llata; Kyle T Bernstein; Roxanne P Kerani; Preeti Pathela; Jane R Schwebke; Christina Schumacher; Mark Stenger; Hillard S Weinstock
Journal:  Sex Transm Dis       Date:  2015-08       Impact factor: 2.830

2.  Sample size considerations using mathematical models: an example with Chlamydia trachomatis infection and its sequelae pelvic inflammatory disease.

Authors:  Sereina A Herzog; Nicola Low; Andrea Berghold
Journal:  BMC Infect Dis       Date:  2015-06-19       Impact factor: 3.090

3.  Heterogeneity in risk of pelvic inflammatory diseases after chlamydia infection: a population-based study in Manitoba, Canada.

Authors:  Bethan Davies; Helen Ward; Stella Leung; Katy M E Turner; Geoff P Garnett; James F Blanchard; B Nancy Yu
Journal:  J Infect Dis       Date:  2014-12-01       Impact factor: 5.226

4.  The Netherlands Chlamydia cohort study (NECCST) protocol to assess the risk of late complications following Chlamydia trachomatis infection in women.

Authors:  B M Hoenderboom; A A M van Oeffelen; B H B van Benthem; J E A M van Bergen; N H T M Dukers-Muijrers; H M Götz; C J P A Hoebe; A A Hogewoning; F R M van der Klis; D van Baarle; J A Land; M A B van der Sande; M G van Veen; F de Vries; S A Morré; I V F van den Broek
Journal:  BMC Infect Dis       Date:  2017-04-11       Impact factor: 3.090

5.  Mathematical models used to inform study design or surveillance systems in infectious diseases: a systematic review.

Authors:  Sereina A Herzog; Stéphanie Blaizot; Niel Hens
Journal:  BMC Infect Dis       Date:  2017-12-18       Impact factor: 3.090

6.  Methods and quality of disease models incorporating more than two sexually transmitted infections: a protocol for a systematic review of the evidence.

Authors:  Fabian Sailer; Greta Rait; Alice Howe; John Saunders; Rachael Hunter
Journal:  BMJ Open       Date:  2018-05-05       Impact factor: 2.692

7.  Timing of progression from Chlamydia trachomatis infection to pelvic inflammatory disease: a mathematical modelling study.

Authors:  Sereina A Herzog; Christian L Althaus; Janneke Cm Heijne; Pippa Oakeshott; Sally Kerry; Phillip Hay; Nicola Low
Journal:  BMC Infect Dis       Date:  2012-08-11       Impact factor: 3.090

8.  Risk of pelvic inflammatory disease following Chlamydia trachomatis infection: analysis of prospective studies with a multistate model.

Authors:  Malcolm J Price; A E Ades; Daniela De Angelis; Nicky J Welton; John Macleod; Kate Soldan; Ian Simms; Katy Turner; Paddy J Horner
Journal:  Am J Epidemiol       Date:  2013-06-27       Impact factor: 4.897

Review 9.  How robust are the natural history parameters used in chlamydia transmission dynamic models? A systematic review.

Authors:  Bethan Davies; Sarah-Jane Anderson; Katy M E Turner; Helen Ward
Journal:  Theor Biol Med Model       Date:  2014-01-30       Impact factor: 2.432

10.  Association Between Reduced Risk of Intracerebral Hemorrhage and Pelvic Inflammatory Disease.

Authors:  Chun-Hung Tseng; Chih-Hsin Muo; Ming-Chia Lin; Chia-Hung Kao
Journal:  Medicine (Baltimore)       Date:  2016-02       Impact factor: 1.889

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