Table 1.
Study, Country/Region | Health service setting |
Pre-pandemic |
Pandemic |
Number of screening mammograms or number of women having screening |
||
---|---|---|---|---|---|---|
Time period | Time period | Services suspension/lockdown | Pre-pandemic vs Pandemic (data are frequency (N) unless specified) | Relative change in outcome (unless specified) | ||
Al-Kuwari 2021, Qatar [11] | HCS | 01/01/2019 to 31/07/2019 | 01/01/2020 to 31/07/2020 | 11/03/2020–31/07/2020 | 4854 vs 2156 | ↓55.58% |
Amran 2021, US [13] | HCS | 01/04/2019 to 31/12/2019 | 01/04/2020 to 31/12/2020 | NR | 55,678 vs 27,522 | ↓49% |
Bakouny 2021, US [14] | HCS | Same months 2019: 02/03/2019 to 02/06/2019; Pre-peak: 01/12/2019 to 02/03/2020. |
Peak: 02/03/2020 to 02/06/2020; After-peak: 03/06/2020 to 03/09/2020. |
NR | Same months 2019 vs Peak: 24,660 vs 5305; Pre-peak vs Peak: 29,158 vs 5305; After-peak vs Peak: 24,788 vs 5305. |
Same months 2019 vs Peak: ↓77.67%; Pre-peak vs Peak: ↓81.49%; After-peak vs Peak: ↓78.06%. |
Bentley 2021, Canada [15] | BCSP | 01/01/2019 to 31/12/2019 | 01/01/2020 to 31/12/2020 | 18/03/2020–30/05/2020 | 265,479 vs 185,154 | ↓30.2% |
Bessa 2021, Brazil [16] | BCSP | 01/01/2019 to 31/12/2019 | 01/01/2020 to 31/12/2020 | 17/03/2020-NR | 1,948,471 vs 1,126,688 | ↓42.18% |
Brugel 2021, France [17] | HCS | 01/01/2019 to 31/05/2019 | 01/01/2020 to 31/05/2020 | 17/03/2020–11/05/2020 | Jan: 2541 vs 2607; Feb: 2128 vs 2203; Mar: 2316 vs 965; Apr: 2288 vs 0; May: 2089 vs 636. |
Jan: ↑2%; Feb: ↑3%; Mar: ↓58%; Apr: ↓100%; May: ↓70%. |
Chiarelli 2021a, Canada [19] | BCSP | 01/01/2019 to 29/02/2020 | Suspension: 01/03/2020 to 31/05/2020; Resumption: 01/06/2020 to 31/03/2021. |
23/03/2020–26/05/2020 | Pre vs Suspension vs Resumption: 822,862 vs 32,408 vs 394,559 |
Pre vs Suspension: ↓96.1%; Pre vs Resumption: ↓52.1%; Suspension vs Resumption: ↑1117.5%. |
Chou 2020, Taiwan [20] | ASI | Week 1, 2019 to Week 22, 2019 | Week 1, 2020 to Week 22, 2020 | NR | NR | ↓51%, p < 0.001 |
Collado-Mesa 2020, US [21] | HCS | 1/04/2018–2019 to 30/04/2018–2019 | 01/04/2020 to 30/04/2020 | 20/03/2020-Mid May to early June 2020 | 2722 vs 105 | ↓96% |
Dabkeviciene 2021, Lithuania [22] | ASI | 01/02/2019 to 31/12/2019 | 01/02/2020 to 31/12/2020 | 18/03/2020–17/06/2020; 04/11/2020–31/12/2020. | 9704 vs 3653 | ↓62% |
de Degani 2021, Argentina [23] | BCSP | 19/03/2019 to 19/09/2019 | 19/03/2020 to 19/09/2020 | 19/03/2020–19/09/2020 | 9918 vs 2098 | ↓78.85% (95% CI: 78.03–79.65%), p < 0.0001 |
DeGroff 2021, US [24] | BCSP | 01/01/2015–2019 to 30/06/2015–2019 | 01/01/2020 to 30/06/2020 | NR | Total: 1,112,126 vs 71,704. Apr: 19,366 vs 2607; Jun: 17,385 vs 10,626. |
Total: ↓94%. Apr: ↓97%, p < 0.001; Jun: ↓39%, p < 0.001. |
Fedewa 2021, Italy [25] | HCS | 01/07/2019 to 31/07/2019 | 01/07/2020 to 31/07/2020 | NR | 76,430 vs 74,340 | ↓2.7% |
Gorin 2021, US [27] | ASI | 19/03/2019 to 09/05/2019 | 19/03/2020 to 09/05/2020 | 19/03/2020–09/05/2020 | 3339 vs 6 | ↓99.8% |
Kang 2021b, Korea [29] | HCS | 01/02/2019 to 31/07/2019 | 01/02/2020 to 31/07/2020 | NR | Total: 20,923 vs 11,982. Peak (Feb–Apr): 8837 vs 3697; After-peak (May–Jul): 12,086 vs 8285. |
Total: ↓42.7%. Peak (Feb-Apr): ↓58.2%; After-peak (May-Jul): ↓31.4%. |
Kidwai 2022, US [30] | ASI | 01/01/2019 to 31/12/2019 | 01/01/2020 to 31/12/2020 | NR | 435 vs 382 | ↓12% |
Labaki 2021, US [33] | HCS | Pre-peak: 01/12/2019 to 02/03/2020 | 1st peak: 02/03/2020 to 02/06/2020; Period between two peaks: 03/06/2020 to 03/09/2020; 2nd peak: 04/09/2020 to 05/12/2020. |
NR | Pre-peak vs 1st peak: 29,305 vs 5379; Pre-peak vs Period between two peaks: 29,305 vs 24,876; Pre-peak vs 2nd peak: 29,305 vs 33,282. |
Pre-peak vs 1st peak: ↓82%; Pre-peak vs Period between two peaks: ↓15%; Pre-peak vs 2nd peak: ↑14%. |
London 2022, US [34] | HCS | 01/01/2019 to 30/04/2020 | 01/01/2020 to 30/04/2021 | 01/03/2020–30/04/2020 | NR | Apr 1–15, 2020 (lowest): ↓89%; Jun 30- Jul 14, 2020 (recovery): ↑21%; Mar 2–16, 2021 (highest): ↑64%. |
Losurdo 2022, Italy [35] | BCSP | 01/01/2019 to 31/12/2019 | 01/01/2020 to 31/12/2020 | 09/03/2020-NR | NR | ↓37.6% |
Miller 2021, US [36] | ASI | Week 1, 2019 to Week 47, 2019 | Week 1, 2020 to Week 47, 2020 | Weeks 11–17 | 15,339 vs 13,841 | ↓9.8% |
Norbash 2020, US [37] | HCS | Week 1, 2019 to Week 21, 2019 | Week 1, 2020 to Week 21, 2020 | NR | Nadir: in weeks 15–16: 12,027 vs 152 | Weekly change range: Weeks 1–10: ↑3%–16%; Weeks 11–13: ↓10%–96%; Weeks 14–20: ↓95%–99% (Nadir: ↓99% in weeks 15–16); Week 21: ↓73%. |
Peng 2020, Taiwan [39] | BCSP | 01/01/2019 to 31/05/2019 | 01/01/2020 to 31/05/2020 | No suspension | Total: 496,207 vs 358,771 |
Total: ↓27.70%. Mar: ↓35% (p < 0.0001); Apr: ↓60% (p < 0.0001); May: ↓49% (p < 0.0001). |
Ribeiro 2022, Brazil [40] | HCS | 01/01/2019 to 31/12/2019 | 01/01/2020 to 31/12/2020 | No lockdown | Total: 3,810,427 vs 218,371. Percentage of screening mammography performed in women aged 50–69 years: 64.8% vs 64.4%. |
Total: ↓42.62%. Percentage of screening mammography performed women aged 50–69 years: ↓0.4%. |
Shen 2022, Taiwan [41] | BCSP | 01/01/2019 to 30/04/2019 | 01/01/2020 to 30/04/2020 | No suspension | Inreach (hospital): 150,903 vs 94,796; Outreach (mobile): 242,482 vs 211,730. |
Average monthly percentage change: Inreach (hospital): ↓41.43%; Outreach (mobile): ↓23.99%. |
Sprague 2021, US [42] | CIR | 01/01/2019 to 31/07/2019 | 01/01/2020 to 31/07/2020 | NR | 190,454 vs 126,040 | ↓33.8% (95% CI: 27.4–39.7%) |
Sutherland 2020, Australia [43] | BCSP | 01/03/2019 to 30/06/2019 | 01/03/2020 to 30/06/2020 | 24/03/2020–18/05/2020 | NR vs 58,478 | ↓51.5% |
Tang 2022, US [44] | HCS | 17/03/2019 to 17/05/2019 | 17/03/2020 to 17/05/2020 | 17/03/2020–17/05/2020 | 180,724 vs 1681 | ↓99.1% |
Tsai 2020, Taiwan [45] | BCSP | 01/01/2019 to 30/04/2019 | 01/01/2020 to 30/04/2020 | No suspension | 396,371 vs 308,463 | ↓22.2%, p < 0.001 |
Velazquez 2021, US [46] | ASI | 01/01/2019 to 31/12/2019 | 01/01/2020 to 31/12/2020 | 16/03/2020–16/05/2020 | 5662 vs 3385 | ↓40% |
Walker 2021a, Canada [47] | BCSP | 01/03/2019 to 31/12/2019 | 01/03/2020 to 31/12/2020 | Mid 03/2020-End 05/2020 | 605,889 vs 284,242 | ↓53.1% |
Study, Country/Region | Health service setting | Pre-pandemic | Pandemic | Screening rate or use rate of mammograms | ||
Time period | Time period | Services suspension/lockdown | Pre-pandemic vs Pandemic (data are in proportion (%) unless specified) | Relative change in outcome (unless specified) | ||
Chen 2021, US [18] | HIC | 01/01/2019 to 31/07/2019 | 01/01/2020 to 31/07/2020 | NR | 4133 vs 2971 screens per 100,000 enrolees | ↓28.1% |
Fedewa 2021, US [25] | HCS | 01/07/2019 to 31/07/2019 | 01/07/2020 to 31/07/2020 | NR | 53.9% vs 49.6% | Rate ratio: 0.92 (95% CI: 0.92–0.93) |
Jidkova 2022, Belgium [28] | BCSP | 01/01/2019 to 31/12/2019 | 01/01/2020 to 31/12/2020 | 23/03/2020–28/06/2020 | NR | Absolute change: Entire year: ↓1.0% (95% CI: 0.8%–1.3%); Before shutdown (01/01–21/03): ↓1.4% (95% CI: 1.0%–1.9%); Reopen (05/07–31/12): ↓1.0% (95% CI: 1.3%–2.0%). |
Kim 2022, US [31] | HCS | 01/01/2020 to 03/03/2020 | Stat-at-home: 04/03/2020 to 08/05/2020; Reopen: 09/05/2020 to 08/07/2020. |
04/03/2020–08/05/2020 | Odds Ratio (95% CI)d: Stay-at-home vs Pre: 0.34 (0.31–0.37); Reopen vs Pre: 0.49 (0.45–0.53); Reopen vs Stat-at-home: 1.44 (1.31–1.58). |
Stay-at-home vs Pre: ↓66%, p < 0.001; Reopen vs Pre: ↓51%, p < 0.001; Reopen vs Stat-at-home: ↑44%, p < 0.001. |
Koczkodaj 2021, Poland [32] | BCSP | 01/01/2019 to 30/09/2019 | 01/01/2020 to 30/09/2020 | NR | 38.15% vs 35.92% | Absolute change: ↓2.2% |
Whaley 2020, US [48] | HIC | 01/03/2019 to 30/04/2019 | 01/03/2020 to 30/04/2020. | NR | Mar: 358.4 per 10,000 women vs NR; Apr: 378.5 per 10,000 women vs NR. |
Mar: ↓41.6%c; Apr: ↓90.4%c. |
BCSP= Breast cancer (or cancer) screening program, HCS=Healthcare (or community-based) system/network/database, ASI = A single institution or department, CIR=Cancer or imaging registry, HIC=Health insurance claims, NR=Not reported, CI=Confidence interval.
Italics: computed data (see Appendix C).
Screening modality includes both mammography and magnetic resonance imaging.
Screening modality includes both mammography and ultrasound.
Controls for the age categories, state, year, and month.
Adjusted for age, race/ethnicity, enrolment in the patient portal (MyChart), COVID-19 risk score, and provider specialty.