| Literature DB >> 33843997 |
Rachel B Issaka1,2,3, Preston Taylor, Anand Baxi3, John M Inadomi4, Scott D Ramsey2, Joshua Roth2.
Abstract
Importance: COVID-19 has decreased colorectal cancer screenings. Objective: To estimate the degree to which expanding fecal immunochemical test-based colorectal cancer screening participation during the COVID-19 pandemic is associated with clinical outcomes. Design, Setting, and Participants: A previously developed simulation model was adopted to estimate how much COVID-19 may have contributed to colorectal cancer outcomes. The model included the US population estimated to have completed colorectal cancer screening pre-COVID-19 according the American Cancer Society. The model was designed to estimate colorectal cancer outcomes between 2020 and 2023. This analysis was completed between July and December 2020. Exposures: Adults screened for colorectal cancer and colorectal cancer cases detected by stage. Main Outcomes and Measures: Estimates of colorectal cancer outcomes across 4 scenarios: (1) 9 months of 50% colorectal cancer screenings followed by 21 months of 75% colorectal cancer screenings; (2) 18 months of 50% screening followed by 12 months of 75% screening; (3) scenario 1 with increased use of fecal immunochemical tests; and (4) scenario 2 with increased use of fecal immunochemical tests.Entities:
Mesh:
Year: 2021 PMID: 33843997 PMCID: PMC8042520 DOI: 10.1001/jamanetworkopen.2021.6454
Source DB: PubMed Journal: JAMA Netw Open ISSN: 2574-3805
Figure 1. Schematic of Modeled COVID-19 Scenarios
Model Input Values and Data Sources
| Input | Baseline case value, % (95% CI) | Source |
|---|---|---|
| Screening test characteristics: colorectal cancer | ||
| Colonoscopy, sensitivity | 95.0 (90.0-100) | Vijan,[ |
| Colonoscopy, CRC prevalence | 0.8 (0.7-0.9) | Church,[ |
| FIT, sensitivity | 79 (69-85) | Lee,[ |
| FIT, classified positive | 7 (6.3-7.7) | Imperiale,[ |
| Diagnostic follow-up inputs | ||
| FIT, proportion adherent to diagnostic colonoscopy | 65.0 (52.0-78.0) | Chubak,[ |
| Stage distribution: screen-detected with FIT | ||
| Stage I proportion | 0.367 | Roth,[ |
| Stage II proportion | 0.347 | Roth,[ |
| Stage III proportion | 0.217 | Roth,[ |
| Stage IV proportion | 0.069 | Roth,[ |
| Stage distribution: screen detected colonoscopy | ||
| Stage I proportion | 0.34 | Knudsen,[ |
| Stage II proportion | 0.36 | Knudsen,[ |
| Stage III proportion | 0.19 | Knudsen,[ |
| Stage IV proportion | 0.11 | Knudsen,[ |
| Stage distribution: clinically detected colonoscopy | ||
| Stage I proportion | 0.18 | Knudsen,[ |
| Stage II proportion | 0.34 | Knudsen,[ |
| Stage III proportion | 0.23 | Knudsen,[ |
| Stage IV proportion | 0.25 | Knudsen,[ |
Abbreviation: FIT, fecal immunochemical test.
Results rounded to the first decimal place, except when not provided by the source study.
Figure 2. Baseline Screening Population
Colonoscopy and FIT Uptake Estimates by Scenario Over the 3-Year Model Period
| Scenario | Estimated cases, % | ||||
|---|---|---|---|---|---|
| Baseline | Scenario 1 | Scenario 2 | Scenario 3 | Scenario 4 | |
| Year 1 | |||||
| Colonoscopy | 85.0 | 42.0 | 42.0 | 42.0 | 42.0 |
| FIT | 15.0 | 8.0 | 8.0 | 17.0 | 17.0 |
| Not screened | 0 | 50.0 | 50.0 | 40.0 | 40.0 |
| Year 2 | |||||
| Colonoscopy | 85.0 | 58.0 | 42.0 | 58.0 | 42.0 |
| FIT | 15.0 | 8.0 | 8.0 | 22.0 | 27.0 |
| Not screened | 0 | 34.0 | 50.0 | 19.0 | 31.0 |
| Year 3 | |||||
| Colonoscopy | 85.0 | 64.0 | 64.0 | 64.0 | 64.0 |
| FIT | 15.0 | 8.0 | 8.0 | 21.0 | 21.0 |
| Not screened | 0 | 29.0 | 29.0 | 15.0 | 15.0 |
| Year 1-3 average | |||||
| Colonoscopy | 85.0 | 55.0 | 49.0 | 55.0 | 49.0 |
| FIT | 15.0 | 8.0 | 8.0 | 20.0 | 22.0 |
| Not screened | 0 | 38.0 | 43.0 | 25.0 | 29.0 |
Abbreviation: FIT, fecal immunochemical test.
Within each scenario, colorectal cancer screening changes from year 1 to year 3 based on the COVID-19 dispersion profile and uptake of colonoscopy or FIT.
Number of People Screened for Colorectal Cancer, New CRC Cases, and Early Stage CRC Cases Detected Across Modeled COVID-19 Scenarios
| No. (% difference) | |||||
|---|---|---|---|---|---|
| Baseline | Scenario 1 | Scenario 2 | Scenario 3 | Scenario 4 | |
| People who complete CRC screening, No. | 4 690 668 | 2 924 880 | 2 676 503 | 3 513 725 | 3 332 328 |
| Scenario vs baseline | 1 [Reference] | 1 765 788 (−37.6) | 2 014 165 (−42.9) | 1 176 943 (−25.1) | 1 358 340 (−29.0) |
| Scenario 3 vs 1 | NA | 1 [Reference] | NA | 588 845 (+20.1) | NA |
| Scenario 4 vs 2 | NA | NA | 1 [Reference] | NA | 655 825 (+24.5) |
| New CRC cases, No. | 34 323 | 23 141 | 21 429 | 25 977 | 24 144 |
| Screening detected CRC, No. (%) | 33 747 (98.3) | 21 359 (92.3) | 19 436 (90.7) | 19 274 (89.9) | 22 180 (91.9) |
| Symptom detected CRC, No. (%) | 576 (1.7) | 1782 (7.7) | 1993 (9.3) | 2155 (10.1) | 1964 (8.1) |
| Scenario vs baseline | 1 [Reference] | 11 182 (−32.6) | 12 894 (−37.6) | 8346 (−24.3) | 10 179 (−29.7) |
| Scenario 3 vs 1 | NA | 1 [Reference] | NA | 2836 (+12.3) | NA |
| Scenario 4 vs 2 | NA | NA | 1 [Reference] | NA | 2715 (+12.7) |
| Early stage CRC, No. (%) | 23 964 (69.8) | 15 898 (68.7) | 14 663 (68.4) | 17 851 (68.7) | 16 607 (68.8) |
Abbreviations: CRC, Colorectal Cancer; NA, not applicable.