Effect of time to diagnostic testing for breast, cervical, and colorectal cancer screening abnormalities on screening efficacy: A modeling study

Carolyn M. Rutter*, Jane J. Kim, Reinier G.S. Meester, Brian L. Sprague, Emily A. Burger, Ann G. Zauber, Mehmet Ali Ergun, Nicole G. Campos, Chyke A. Doubeni, Amy Trentham-Dietz, Stephen Sy, Oguzhan Alagoz, Natasha Stout, Iris Lansdorp-Vogelaar, Douglas A. Corley, Anna N.A. Tosteson

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

36 Scopus citations


Background: Patients who receive an abnormal cancer screening result require follow-up for diagnostic testing, but the time to follow-up varies across patients and practices. Methods: We used a simulation study to estimate the change in lifetime screening benefits when time to follow-up for breast, cervical, and colorectal cancers was increased. Estimates were based on four independently developed microsimulation models that each simulated the life course of adults eligible for breast (women ages 50–74 years), cervical (women ages 21–65 years), or colorectal (adults ages 50–75 years) cancer screening. We assumed screening based on biennial mammography for breast cancer, triennial Papanicolaou testing for cervical cancer, and annual fecal immunochemical testing for colorectal cancer. For each cancer type, we simulated diagnostic testing immediately and at 3, 6, and 12 months after an abnormal screening exam. Results: We found declines in screening benefit with longer times to diagnostic testing, particularly for breast cancer screening. Compared to immediate diagnostic testing, testing at 3 months resulted in reduced screening benefit, with fewer undiscounted life years gained per 1,000 screened (breast: 17.3%, cervical: 0.8%, colorectal: 2.0% and 2.7%, from two colorectal cancer models), fewer cancers prevented (cervical: 1.4% fewer, colorectal: 0.5% and 1.7% fewer, respectively), and, for breast and colorectal cancer, a less favorable stage distribution. Conclusions: Longer times to diagnostic testing after an abnormal screening test can decrease screening effectiveness, but the impact varies substantially by cancer type. Impact: Understanding the impact of time to diagnostic testing on screening effectiveness can help inform quality improvement efforts. Cancer Epidemiol Biomarkers Prev; 27(2); 158–64. 2017 AACR.

Original languageEnglish (US)
Pages (from-to)158-164
Number of pages7
JournalCancer Epidemiology Biomarkers and Prevention
Issue number2
StatePublished - Feb 1 2018
Externally publishedYes

ASJC Scopus subject areas

  • General Medicine


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