| Literature DB >> 30120770 |
Lauro Bucchi1, Flavia Baldacchini1, Silvia Mancini1, Alessandra Ravaioli1, Orietta Giuliani1, Rosa Vattiato1, Fabio Falcini1,2, Paolo Giorgi Rossi3, Cinzia Campari4, Debora Canuti5, Enza Di Felice6, Priscilla Sassoli de Bianchi6, Stefano Ferretti6, Nicoletta Bertozzi6, Annibale Biggeri7.
Abstract
The impact of the organised cervical cancer (CC) screening programmes implemented in Europe since the 1990s has been insufficiently evaluated. We investigated the changes in CC incidence following the introduction of a screening programme in the Emilia-Romagna Region (northern Italy). The study period was 1988-2013. The programme, targeting women aged 25-64 years (1,219,000 in 2018), started in 1998. The annual incidence rates that would be expected in 1998-2013 in the absence of screening were estimated, first, by analysing the annual rates in 1988-1997 with a log-linear model and, second, by analysing the annual rates in 1988-2013 with an age-period model in which the period effect was enforced to be linear. Cervical adenocarcinoma incidence trend over the entire period was used to validate both estimates. Observed annual rates were compared to the two series of expected ones with the incidence rate ratio (IRR). Incidence remained stable during 1988-1997, peaked in 1998 and then decreased until 2007, when it stabilised. The two series of expected rates were virtually coincident and their trends roughly paralleled the stable adenocarcinoma incidence trend. After 2007, the median IRR was 0.60 (95% confidence interval, 0.45-0.81) based on the log-linear model and 0.58 (95% confidence interval, 0.34-0.97) based on the age-period model. Thirty-six to seventy-five CC cases were prevented annually for an average annual frequency of 6.5 per 100,000 women in the target population. In summary, consistent circumstantial evidences were obtained that the organised screening programme brought about a 40% reduction in annual CC incidence after 10 years.Entities:
Keywords: age-period-cohort model; cervical cancer; effectiveness; incidence; log-linear model; rate; screening; trend
Mesh:
Year: 2018 PMID: 30120770 DOI: 10.1002/ijc.31806
Source DB: PubMed Journal: Int J Cancer ISSN: 0020-7136 Impact factor: 7.396