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Projected future impact of HPV vaccination and primary HPV screening on cervical cancer rates from 2017-2035: Example from AustraliaMichaela T Hall et al. PLoS One. 2018.
. 2018 Feb 14;13(2):e0185332. doi: 10.1371/journal.pone.0185332. eCollection 2018. AffiliationsItem in Clipboard
AbstractBackground: Many countries are transitioning from cytology-based to longer-interval HPV screening. Trials comparing HPV-based screening to cytology report an increase in CIN2/3 detection at the first screen, and longer-term reductions in CIN3+; however, population level year-to-year transitional impacts are poorly understood. We undertook a comprehensive evaluation of switching to longer-interval primary HPV screening in the context of HPV vaccination. We used Australia as an example setting, since Australia will make this transition in December 2017.
Methods: Using a model of HPV vaccination, transmission, natural history and cervical screening, Policy1-Cervix, we simulated the planned transition from recommending cytology every two years for sexually-active women aged 18-20 to 69, to recommending HPV screening every five years for women aged 25-74 years. We estimated rates of CIN2/3, cervical cancer incidence, and mortality for each year from 2005 to 2035, considering ranges for HPV test accuracy and screening compliance in the context of HPV vaccination (current coverage ~82% in females; ~76% in males).
Findings: Transient increases are predicted to occur in rates of CIN2/3 detection and invasive cervical cancer in the first two to three years following the screening transition (of 16-24% and 11-14% in respectively, compared to 2017 rates). However, by 2035, CIN2/3 and invasive cervical cancer rates are predicted to fall by 40-44% and 42-51%, respectively, compared to 2017 rates. Cervical cancer mortality rates are predicted to remain unchanged until ~2020, then decline by 34-45% by 2035. Over the period 2018-2035, switching to primary HPV screening in Australia is expected to avert 2,006 cases of invasive cervical cancer and save 587 lives.
Conclusions: Transient increases in detected CIN2/3 and invasive cancer, which may be detectable at the population level, are predicted following a change to primary HPV screening. This is due to improved test sensitivity bringing forward diagnoses, resulting in longer term reductions in both cervical cancer incidence and mortality. Fluctuations in health outcomes due to the transition to a longer screening interval are predicted to occur for 10-15 years, but cervical cancer rates will be significantly reduced thereafter due to the impact of HPV vaccination and HPV screening. In order to maintain confidence in primary HPV screening through the transitional phase, it is important to widely communicate that an initial increase in CIN2/3 and perhaps even invasive cervical cancer is expected after a national transition to primary HPV screening, that this phenomenon is due to increased prevalent disease detection, and that this effect represents a marker of screening success.
Conflict of interest statementCompeting Interests: Karen Canfell and Marion Saville are both co-PI’s of an investigator-initiated trial of cytology and primary HPV screening in Australia (‘Compass’) (ACTRN12613001207707 and NCT02328872), which is conducted and funded by the Victorian Cytology Service (VCS) Inc Ltd., a government-funded health promotion charity. The VCS Inc Ltd. have received equipment and a funding contribution for the Compass trial from Roche Molecular Systems and Ventana Inc USA. KC and Marion Saville are CI’s on Compass in New Zealand, (‘Compass NZ’) (ACTRN12614000714684) which is conducted and funded by Diagnostic Medlab, now Auckland District Health Board. DML received an equipment and a funding contribution for the Compass trial from Roche Molecular Systems. However neither KC, nor her institution on her behalf (Cancer Council NSW) receive direct or indirect funding from industry for Compass Australia or NZ or any other project. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
FiguresFig 1. Primary HPV testing with partial…
Fig 1. Primary HPV testing with partial genotyping and cytology triage management flow chart.
Fig 1. Primary HPV testing with partial genotyping and cytology triage management flow chart.Fig 2. Predicted age standardised rates (ASR)…
Fig 2. Predicted age standardised rates (ASR) for: (a) CIN2/3 per 1,000 women, (b) cervical…
Fig 2. Predicted age standardised rates (ASR) for: (a) CIN2/3 per 1,000 women, (b) cervical cancer diagnosis per 100,000 women and (c) cervical cancer mortality per 100,000 women; base case scenario shown.*Ages considered are 0–84 years; age standardised rates are standardised to the Australian Bureau of Statistics 2001 ‘Series B’ population estimates.
Fig 3. Predicted age standardised rates (ASR)…
Fig 3. Predicted age standardised rates (ASR) for: (a) CIN2/3 per 1,000 women and (b)…
Fig 3. Predicted age standardised rates (ASR) for: (a) CIN2/3 per 1,000 women and (b) 1,000 women screened, (c) cervical cancer diagnosis per 100,000 women and (d) cervical cancer mortality per 100,000 women; base-case and counterfactual scenarios 1–3 are shown.*Ages considered are 0–84 years; age standardised rates are standardised to the Australian Bureau of Statistics 2001 ‘Series B’ population estimates.
Fig 4. (a) ASR per 1,000 women…
Fig 4. (a) ASR per 1,000 women and (b) case numbers of histologically detected high…
Fig 4. (a) ASR per 1,000 women and (b) case numbers of histologically detected high grade cervical abnormalities by age group, presented with (c) ASR and (d) case numbers of histologically detected high grade cervical abnormalities by HPV type; base case scenario shown.*Ages considered are 0–84 years; age standardised rates are standardised using the Australian 2001 Standard Population; case numbers are calculated using the Australian Bureau of Statistics ‘Series B’ population estimates.
Fig 5. (a) (c) (e) Age standardised…
Fig 5. (a) (c) (e) Age standardised rates and (b) (d) (f) case numbers of…
Fig 5. (a) (c) (e) Age standardised rates and (b) (d) (f) case numbers of cervical cancer incidence by age group, HPV type and stage at diagnosis; base case scenario shown.*Ages considered are 0–84 years; age standardised rates are standardised using the Australian 2001 Standard Population; case numbers are calculated using the Australian Bureau of Statistics ‘Series B’ population estimates.
Fig 6. Modelled cumulative lifetime risk of…
Fig 6. Modelled cumulative lifetime risk of cervical cancer mortality by birth year of base…
Fig 6. Modelled cumulative lifetime risk of cervical cancer mortality by birth year of base case scenario presented with timing of milestones in cervical cancer prevention initiatives.* Cumulative lifetime risk is calculated to age 84 years.
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