| Literature DB >> 34557821 |
Urška Ivanuš1,2,3, Tine Jerman1, Urška Gašper Oblak4, Leon Meglič2,5, Mojca Florjančič1, Margareta Strojan Fležar2, Tanja Premru Sršen2,5, Špela Smrkolj2,5, Maja Pakiž6,7, Maja Primic Žakelj1, Veronika Kloboves Prevodnik2,8, Ana Pogačnik1,8, Igor Josipović9, Tanja Mate10, Mojca Gobec10.
Abstract
BACKGROUND: The COVID-19 pandemic threatens the impact of cervical cancer screening and global cervical cancer elimination goals. As cervical cancer screening programmes were adjusting to the new situation, we evaluated the intensity, quality, and outcomes of cervical cancer screening in Slovenia in the first seven months of the pandemic.Entities:
Year: 2021 PMID: 34557821 PMCID: PMC8454727 DOI: 10.1016/j.lanepe.2021.100101
Source DB: PubMed Journal: Lancet Reg Health Eur ISSN: 2666-7762
Screening programme intensity measured as number, relative deficit, and excess (%) of screening and FU smears, HPV triage tests, and invasive diagnostics in two pandemic periods. Observed periods: the first COVID-19 epidemic with screening lockdown (March 12th to May 6th), the five-month period of post first COVID-19 epidemic (May 7th to September 30th) and a cumulative pandemic (March 12th to September 30th). The 2020 data was compared to the average (arithmetic mean) of a three-year period (2017–2019). Data source: National Cervical Cancer Screening Registry ZORA.
| First COVID-19 epidemic (March 12th–May 6th) | Post first COVID-19 epidemic (May 7th–September 30th) | Cumulative COVID-19 pandemic (March 12th–September 30th) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Average | Year | Deficit/Excess | Average | Year | Deficit/Excess | Average | Year | Deficit/Excess | |
| 2017–19 | 2020 | in year 2020 | 2017–19 | 2020 | in year 2020 | 2017–19 | 2020 | in year 2020 | |
| n | n | % (95% CI) | n | n | % (95% CI) | n | n | % (95% CI) | |
| 29.441 | 3.131 | −89·4 (−89·7, −89·0) | 64.049 | 71.312 | +11·3 (10·4, 12·3) | 93.491 | 74.443 | −20·4 (−21·0, −19·7) | |
| Screening smears (20–64) | 26.540 | 2.266 | −91·5 (−91·8, −91·1) | 56.793 | 61.608 | +8·5 (7·5, 9·5) | 83.334 | 63.874 | −23·4 (−24·0, −22·7) |
| 20–29 | 5.139 | 595 | −88·4 (−89·4, −87·5) | 11.943 | 12.580 | +5·3 (3·2, 7·6) | 17.082 | 13.175 | −22·9 (−24·3, −21·4) |
| 30–39 | 6.426 | 682 | −89·4 (−90·2, −88·6) | 14.023 | 14.561 | +3·8 (1·9, 5·8) | 20.449 | 15.243 | −25·5 (−26·8, −24·1) |
| 40–49 | 6.530 | 482 | −92·6 (−93·3, −92·0) | 13.731 | 15.265 | +11·2 (9·1, 13·3) | 20.262 | 15.747 | −22·3 (−23·7, −20·9) |
| 50–64 | 8.445 | 507 | −94·0 (−94·5, −93·5) | 17.096 | 19.202 | +12·3 (10·4, 14·2) | 25.541 | 19.709 | −22·8 (−24·0, −21·6) |
| FU smears (20–64) | 2.901 | 865 | −70·2 (−72·2, −68·2) | 7.256 | 9.704 | +33·7 (30·6, 37·0) | 10.157 | 10.569 | +4·1 (1·7, 6·3) |
| 20–29 | 597 | 192 | −67·8 (−72·3, −63·0) | 1.527 | 1.932 | +26·5 (19·8, 33·5) | 2.124 | 2.124 | 0·0 (−4·9, 5·1) |
| 30–39 | 740 | 243 | −67·2 (−71·6, −62·6) | 1.852 | 2.429 | +31·1 (25·2, 37·4) | 2.593 | 2.672 | +3·1 (−1·9, 8·1) |
| 40–49 | 806 | 240 | −70·2 (−74·0, −66·2) | 1.987 | 2.759 | +38·9 (32·8, 45·5) | 2.793 | 2.999 | +7·4 (2·9, 11·7) |
| 50–64 | 758 | 190 | −74·9 (−78·6, −71·2) | 1.890 | 2.584 | +36·7 (30·5, 43·3) | 2.648 | 2.774 | +4·8 (0·3, 9·4) |
| 1.859 | 590 | −68·3 (−70·9, −65·6) | 4.908 | 6.700 | +36·5 (32·6, 40·5) | 6.767 | 7.290 | +7·7 (4·8, 10·6) | |
| 20–29 | 426 | 131 | −69·2 (−74·6, −63·5) | 1.113 | 1.472 | +32·3 (24·4, 40·6) | 1.539 | 1.603 | +4·2 (−1·7, 10·0) |
| 30–39 | 556 | 166 | −70·1 (−74·8, −65·2) | 1.441 | 1.892 | +31·3 (24·3, 38·7) | 1.997 | 2.058 | +3·1 (−2·0, 8·3) |
| 40–49 | 506 | 164 | −67·6 (−72·6, −62·2) | 1.346 | 1.889 | +40·4 (33·0, 48·1) | 1.852 | 2.053 | +10·9 (5·4, 16·5) |
| 50–64 | 371 | 129 | −65·3 (−71·4, −58·7) | 1.008 | 1.447 | +43·6 (34·6, 52·7) | 1.379 | 1.576 | +14·3 (7·6, 21·0) |
| 1.126 | 685 | −39·2 (−44·0, −34·2) | 2.808 | 2.775 | −1·2 (−5·3, 3·1) | 3.934 | 3.460 | −12·1 (−15·3, −8·7) | |
| Diagnostics (20–64) | 840 | 443 | −47·3 (−52·5, −41·7) | 2.110 | 2.120 | +0·5 (−4·3, 5·5) | 2.950 | 2.563 | −13·1 (−16·9, −9·2) |
| 20–29 | 149 | 93 | −37·6 (−50·8, −22·7) | 398 | 402 | +1·1 (−9·8, 13·1) | 547 | 495 | −9·5 (−18·4, −0·1) |
| 30–39 | 190 | 120 | −37·0 (−48·9, −23·9) | 492 | 487 | −1·1 (−11·0, 9·4) | 683 | 607 | −11·1 (−19·0, −3·0) |
| 40–49 | 263 | 111 | −57·7 (−66·0, −48·9) | 610 | 638 | +4·6 (−4·6, 14·4) | 873 | 749 | −14·2 (−20·9, −7·0) |
| 50–64 | 238 | 119 | −50·1 (−59·2, −39·9) | 610 | 593 | −2·7 (−11·4, 6·3) | 848 | 712 | −16·0 (−22·8, −8·6) |
| Treatment (20–64) | 286 | 242 | −15·4 (−26·7, −2·4) | 698 | 655 | −6·2 (−14·3, 2·2) | 984 | 897 | −8·9 (−15·4, −1·7) |
| 20–29 | 58 | 54 | −6·9 (−33·0, 24·4) | 142 | 128 | −9·9 (−27·0, 9·7) | 200 | 182 | −9·0 (−23·0, 7·5) |
| 30–39 | 101 | 76 | −24·5 (−41·9, −3·8) | 249 | 212 | −15·0 (−27·2, −1·6) | 350 | 288 | −17·7 (−28·0, −6·4) |
| 40–49 | 74 | 71 | −4·1 (−27·6, 23·4) | 176 | 180 | +2·3 (−14·7, 20·7) | 250 | 251 | +0·4 (−13·3, 15·3) |
| 50–64 | 53 | 41 | −23·1 (−47·3, 6·4) | 131 | 135 | +3·1 (−15·9, 24·1) | 184 | 176 | −4·5 (−19·8, 12·6) |
| LLETZ (20–64) | 197 | 168 | −14·9 (−28·7, 0·7) | 473 | 498 | +5·3 (−5·3, 16·4) | 670 | 666 | −0·6 (−9·2, 8·3) |
| Cold knife conisation (20–64) | 61 | 47 | −23·4 (−44·6, 2·9) | 172 | 95 | −44·8 (−56·7, −31·9) | 233 | 142 | −39·1 (−49·7, −28·0) |
| Re–LLETZ/conisation (20–64) | 27 | 27 | −1·2 (−40·7, 47·9) | 53 | 62 | +16·3 (−15·0, 53·1) | 81 | 89 | +10·3 (−15·1, 39·4) |
Fig. 3Age-specific cumulative number of newly detected CIN2+ in Slovenia by weeks for the period from January 1st to September 30th 2020 (red) in comparison to three-year average during 2017–2019 (blue). Data at the beginning and the end of the first wave and the data at the beginning of the second wave of COVID-19 epidemics are shown; additionally, together with the largest deficit compared to the previous three-year average. Age groups: 20–29, 30–39, 40–49, 50–64. 65+, total 20–64). Data source: National Cervical Cancer Screening Registry ZORA. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Fig. 1Cumulative deficit and excess (%) of cervical tests and invasive procedures for women aged 20–64 from January 1st to September 30th 2020 by weeks compared to 3-year average in 2017–2019 (reference value 0). Screening (green) and follow-up (purple) cervical smears (cervical cytology), HPV triage tests (blue) and invasive diagnostic (brown) and treatment (red) procedures are shown. Vertical deviation from 0% represents cumulative relative (%) difference and point size represents absolute cumulative difference from January 1st 2020 compared to 3-year average. Data source: National Cervical Cancer Screening Registry ZORA. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Fig. 2Turnaround time to the results of laboratory investigation. Upper graph: gynaecologist turnaround time, middle graph: laboratory turnaround time, bottom graph: report turnaround time of cytology (left), HPV triage tests (middle) and invasive procedures (right) through weeks for the period from January 1st 2020 to September 30th 2020 (red) in comparison to a three-year average for 2017–2019 (blue). Data source: National Cervical Cancer Screening Registry ZORA. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)