A model-based analysis of the health impacts of COVID-19 disruptions to primary cervical screening by time since last screen for current and future disruptions

  1. Emily A Burger  Is a corresponding author
  2. Inge MCM de Kok
  3. James F O'Mahony
  4. Matejka Rebolj
  5. Erik EL Jansen
  6. Daniel D de Bondt
  7. James Killen
  8. Sharon J Hanley
  9. Alejandra Castanon
  10. Mary Caroline Regan
  11. Jane J Kim
  12. Karen Canfell
  13. Megan A Smith
  1. Center for Health Decision Science, Harvard T.H. Chan School of Public Health, United States
  2. Department of Health Management and Health Economics, University of Oslo, Norway
  3. Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Netherlands
  4. Centre for Health Policy & Management, School of Medicine, Trinity College Dublin, Ireland
  5. Faculty of Life Sciences & Medicine, School of Cancer & Pharmaceutical Sciences, King’s College London, United Kingdom
  6. Cancer Research Division, Cancer Council NSW, Australia
  7. Hokkaido University Center for Environmental and Health Sciences, Japan
  8. Daffodil Centre, University of Sydney, a joint venture with Cancer Council NSW, Australia
5 figures, 5 tables and 1 additional file

Figures

Scenario overview reflecting the heterogeneity in screening history (aligned so that 2020 was 1, 3, 5, or 10 years since their last screen) facing alternative COVID-19 delay disruptions for three birth cohorts of women.
Short-term impacts: relative rate ratio of cancer detected during the screening delay period for underscreeners compared with the same delay duration for guidelines-compliant screeners.
Long-term impacts: projected impact of COVID-19-related disruptions to primary cervical cancer screening on the lifetime risk of developing cervical cancer (averaged across the 1965/1975/1985 birth cohorts of women) by time since last screen for cytology-based screening (top panels) and human papillomavirus (HPV)-based screening (bottom panels) for three Cancer Intervention and Surveillance Modeling Network (CISNET-Cervical disease simulation models).
Long-term impacts: projected impact of COVID-19-related disruptions to primary cervical cancer screening on the incremental lifetime risk of developing cervical cancer (averaged across the 1965/1975/1985 birth cohorts of women) by time since last screen for cytology-based screening (top panels) and human papillomavirus (HPV)-based screening (bottom panels) for three Cancer Intervention and Surveillance Modeling Network (CISNET)-Cervical disease simulation models.
Appendix 1—figure 1
Schematic of short-term cancer burden calculations*.

Tables

Table 1
Long-term health impacts* of a 5-year temporary delay to screening compared with no delay, by screening history, that is, screening frequency.
Screening frequency
Annual3-yearly5-yearly10-yearly
Primary cytology-based screening
Harvard
Absolute change in lifetime risk0.008%0.022%0.031%0.044%
Excess cases over lifetime per 100,000 women8223144
MISCAN-Cervix
Absolute change in lifetime risk0.021%0.031%0.034%0.047%
Excess cases over lifetime per 100,000 women21313447
Policy1-Cervix
Absolute change in lifetime risk0.014%0.020%0.029%0.066%
Excess cases over lifetime per 100,000 women14202866
Primary HPV-based screening
Harvard
Absolute change in lifetime risk0.000%0.001%0.004%0.040%
Excess cases over lifetime per 100,000 women01440
MISCAN-Cervix
Absolute change in lifetime risk0.017%0.032%0.041%0.063%
Excess cases over lifetime per 100,000 women17324163
Policy1-Cervix
Absolute change in lifetime risk0.000%0.006%0.012%0.058%
Excess cases over lifetime per 100,000 women061258
  1. *

    Risks are rounded to nearest 0.001%.

  2. The women born in 1985 (aged 35 in 2020) received their last screen at age 25 and have not yet made the switch to primary human papillomavirus (HPV)-based screening. In the primary HPV-based analysis, these women would switch to primary HPV-based screening for their remaining lifetime either at 35 (under the no delay scenario) or aged >35 years (with a delay).

Appendix 1—table 1
Screening end age (lifetime number of screens) by birth cohort, screening frequency, and delay duration.
Annual3-yearly*5-yearly10-yearly
1965
(age 55 in 2020)
No delay65 (45)64 (15)65 (9)65 (5)
1-year delay65 (44)65 (15)61 (8)56 (4)
2-year delay65 (43)63 (14)62 (8)57 (4)
5-year delay65 (40)63 (13)65 (8)60 (4)
1975
(age 45 in 2020)
No delay65 (45)63 (15)65 (9)65 (5)
1-year delay65 (44)64 (15)61 (8)56 (4)
2-year delay65 (43)65 (15)62 (8)57 (4)
5-year delay65 (40)65 (14)65 (8)60 (4)
1985
(age 35 in 2020)
No delay65 (45)65 (15)65 (8)65 (5)
1-year delay65 (44)63 (14)61 (8)56 (4)
2-year delay65 (43)64 (14)62 (8)57 (4)
5-year delay65 (40)64 (13)65 (8)60 (4)
  1. *

    Guidelines-compliant screener with primary cytology-based screening.

  2. Guidelines-compliant screener with primary human papillomavirus (HPV) testing for women aged 30+ years.

Appendix 1—table 2
Example age at screen for the 1975 birth cohort without (highlighted in green) and with (highlighted in yellow) COVID-19-related delays by screening frequency.

Numbers under each delay are ages, bolded numbers are ages at which screening takes place, green highlight reflects no delay, and yellow highlights reflects a delay.

No delay1-year delay2-year delay5-year delay
YearQ1Q3Q5Q10YearQ1Q3Q5Q10YearQ1Q3Q5Q10YearQ1Q3Q5Q10
199621212121199621212121199621212121199621212121
199722222222199722222222199722222222199722222222
199823232323199823232323199823232323199823232323
199924242424199924242424199924242424199924242424
200025252525200025252525200025252525200025252525
200126262626200126262626200126262626200126262626
200227272727200227272727200227272727200227272727
200328282828200328282828200328282828200328282828
200429292929200429292929200429292929200429292929
200530303030200530303030200530303030200530303030
200631313131200631313131200631313131200631313131
200732323232200732323232200732323232200732323232
200833333333200833333333200833333333200833333333
200934343434200934343434200934343434200934343434
201035353535201035353535201035353535201035353535
201136363636201136363636201136363636201136363636
201237373737201237373737201237373737201237373737
201338383838201338383838201338383838201338383838
201439393939201439393939201439393939201439393939
201540404040201540404040201540404040201540404040
201641414141201641414141201641414141201641414141
201742424242201742424242201742424242201742424242
201843434343201843434343201843434343201843434343
201944444444201944444444201944444444201944444444
202045454545202045454545202045454545202045454545
202146464646202146464646202146464646202146464646
202247474747202247474747202247474747202247474747
202348484848202348484848202348484848202348484848
202449494949202449494949202449494949202449494949
202550505050202550505050202550505050202550505050
202651515151202651515151202651515151202651515151
202752525252202752525252202752525252202752525252
202853535353202853535353202853535353202853535353
202954545454202954545454202954545454202954545454
203055555555203055555555203055555555203055555555
203156565656203156565656203156565656203156565656
203257575757203257575757203257575757203257575757
203358585858203358585858203358585858203358585858
203459595959203459595959203459595959203459595959
203560606060203560606060203560606060203560606060
203661616161203661616161203661616161203661616161
203762626262203762626262203762626262203762626262
203863636363203863636363203863636363203863636363
203964646464203964646464203964646464203964646464
204065656565204065656565204065656565204065656565
204166666666204166666666204166666666204166666666
Appendix 1—table 3
Relative rate ratios and accumulated incidence rates per 100,000 women for each screening frequency and delay scenario.
Screening frequency1-year delay2-year delay5-year delay
Policy1-Cervix
5-yearly screener (cytology)1.40 = 4.94/3.581.44 = 10.05/7.001.57 = 30.03/19.10
10-yearly screener (cytology)3.10 = 11.06/3.583.35 = 23.45/7.003.34 = 63.72/19.10
10-yearly screener (HPV)2.26 = 7.36/3.262.48 = 15.31/6.182.54 = 42.41/16.67
MISCAN-Cervix
5-yearly screener (cytology)2.78 = 3.00/1.082.28 = 6.41/2.811.99 = 22.09/11.08
10-yearly screener (cytology)6.97 = 7.54/1.085.73 = 16.11/2.814.15 = 45.97/11.08
10-yearly screener (HPV)3.91 = 6.08/1.553.67 = 13.08/3.562.97 = 38.84/13.09
Harvard
5-yearly screener (cytology)1.8 = 9.64/5.371.74 = 17.69/10.151.64 = 45.97/27.96
10-yearly screener (cytology)3.8 = 20.39/5.373.64 = 36.94/10.153.19 = 89.29/27.96
10-yearly screener (HPV)3.61 = 10.74/2.983.58 = 19.51/5.453.69 = 46.83/12.68
  1. Relative rate ratio is calculated as the accumulated incidence rate per 100,000 women during a delay period for a give screening history divided by the accumulated incidence rate per 100,000 women during the same delay period among guidelines-compliant screeners. Incidence rates are the average across the three birth cohorts. 3-yearly cytology screening is considered guidelines-compliant screening; 5-yearly human papillomavirus (HPV) screening is considered guidelines compliant.

Appendix 1—table 4
Percentage reduction in average (across the 1965, 1975, and 1985 birth cohorts) lifetime risk of cancer compared with no screening.
Screening frequency
Annual (%)3-yearly (%)5-yearly (%)10-yearly (%)
Primary cytology-based screening
Harvard
No delay88.479.971.456.3
1-year delay88.580.070.955.3
2-year delay88.479.570.554.9
5-year delay87.978.469.353.4
MISCAN-Cervix
No delay85.172.162.148.4
1-year delay85.071.760.244.7
2-year delay84.771.259.944.9
5year delay83.169.158.843.9
Policy1-Cervix
No delay87.786.584.575.9
1-year delay87.886.382.371.9
2-year delay87.785.882.571.9
5-year delay86.885.182.571.3
Primary HPV-based screening
Harvard
No delay92.689.386.777.8
1-year delay92.689.486.677.1
2-year delay92.689.486.676.7
5-year delay92.689.286.475.0
MISCAN-Cervix
No delay94.084.274.858.0
1-year delay93.983.872.353.5
2-year delay93.683.272.353.5
5-year delay92.381.070.851.8
Policy1-Cervix
No delay90.990.490.186.6
1-year delay90.990.488.782.7
2-year delay91.090.189.082.8
5-year delay91.090.089.282.6
  1. HPV, human papillomavirus.

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  1. Emily A Burger
  2. Inge MCM de Kok
  3. James F O'Mahony
  4. Matejka Rebolj
  5. Erik EL Jansen
  6. Daniel D de Bondt
  7. James Killen
  8. Sharon J Hanley
  9. Alejandra Castanon
  10. Mary Caroline Regan
  11. Jane J Kim
  12. Karen Canfell
  13. Megan A Smith
(2022)
A model-based analysis of the health impacts of COVID-19 disruptions to primary cervical screening by time since last screen for current and future disruptions
eLife 11:e81711.
https://doi.org/10.7554/eLife.81711