2004
DOI: 10.1038/sj.bjc.6602002
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The predicted effect of changes in cervical screening practice in the UK: results from a modelling study

Abstract: announced that its screening interval would be reduced to 3 years in women aged 25 -49 and fixed at 5 years in those aged 50 -64, and that women under 25 years will no longer be invited for screening. In order to assess these and possible further changes to cervical screening practice in the UK, we constructed a mathematical model of cervical HPV infection, cervical intraepithelial neoplasia and invasive cervical cancer, and of UK age-specific screening coverage rates, screening intervals and treatment efficac… Show more

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Cited by 85 publications
(67 citation statements)
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“…Cost-effectiveness studies and modelling studies show that cervical screening may become much more efficient in terms of decreasing numbers of false-negative and false-positive smears, if a test is used with a substantial higher sensitivity and long-term NPV than conventional cytology (Canfell et al, 2004). Negative test results in combined screening predicted that the future risk for lesions XCIN3 was very low.…”
Section: Discussionmentioning
confidence: 99%
“…Cost-effectiveness studies and modelling studies show that cervical screening may become much more efficient in terms of decreasing numbers of false-negative and false-positive smears, if a test is used with a substantial higher sensitivity and long-term NPV than conventional cytology (Canfell et al, 2004). Negative test results in combined screening predicted that the future risk for lesions XCIN3 was very low.…”
Section: Discussionmentioning
confidence: 99%
“…[12][13][14][15][16] The presented model is largely similar in structure but differs from previous models in the description of regression of CIN lesions. Instead of confining to simultaneous hrHPV clearance and lesion regression, the model allows for a serial regression process where hrHPV clearance precedes lesion regression.…”
Section: Discussionmentioning
confidence: 99%
“…[12][13][14][15][16] Simulation enables us to combine the results of several studies, compare a large number of scenarios and provides an assessment of the costs and effectiveness in preventing cancer. A simulation model requires the specification of an underlying natural history model that describes health trajectories of women in an unscreened population.…”
mentioning
confidence: 99%
“…HPV-DNA testing before age 30 is not an FDA approved strategy and the benefits and costs of conventional cytology screening before age 30 are also unclear. 25,34,36,37 Globally, policies on when to start and stop screening, and screening intervals, vary considerably. 62,63 Implementation of screening policies based on evidence from cost-effectiveness studies remains not widely used, but the increasing quality and consistency of modeling studies is likely to eventually have impact on screening policies.…”
Section: Discussionmentioning
confidence: 99%
“…However, most modeling studies have consistently found similar reductions of the cumulative lifetime risk of invasive cervical cancer as a result of cytology and HPV DNA screening. 6,11,12,19,[23][24][25] State transition models are used in more than 85% of all costeffectiveness analyses and several cervical cancer state transition models have been reported previously. 26,27 The long-term effects and cost of cytology and HPV screening cannot be captured in clinical trials, where all studies have used surrogate endpoints, such as CIN grade 2 or 3 (CIN2-3).…”
mentioning
confidence: 99%