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      Tailoring breast cancer screening intervals by breast density and risk for women 50 and older: Collaborative modeling of screening outcomes

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          Abstract

          Background

          Biennial screening is generally recommended for average-risk women aged 50–74 years, but tailored screening may provide greater benefits.

          Objective

          To estimate outcomes for varying screening intervals after age 50 based on breast density and risk.

          Design

          Collaborative simulation modeling using national incidence, breast density, and screening performance data.

          Setting

          U.S. population.

          Patients

          Women ages ≥50 with combinations of breast density and relative risk (RR: 1.0, 1.3, 2.0, 4.0).

          Interventions

          Annual, biennial, or triennial digital mammography screening from age 50 to 74 (versus no screening) and age 65 to 74 (versus biennial 50–64).

          Measurements

          Lifetime breast cancer deaths, life expectancy and quality-adjusted life years (QALYs), false-positives, benign biopsies, overdiagnoses, cost-effectiveness and ratio of false-positives to breast cancer deaths averted.

          Results

          Screening benefits and overdiagnosis increase with breast density and risk. False-positives and benign biopsies decrease with increasing risk. Among women with fatty or scattered fibroglandular breast density and RR=1.0–1.3, breast cancer deaths averted were similar for triennial versus biennial screening for both age groups (medians: age 50–74, 3.4–5.1 vs. 4.1–6.5; age 65–74, 1.5–2.1 vs. 1.8–2.6). Breast cancer deaths averted increased with annual versus biennial screening for ages 50–74 years with all levels of breast density and RR=4.0, and ages 65–74 years with heterogeneously or extremely dense breasts and RR=4.0, but harms were almost 2-fold higher. Triennial screening for average-risk and annual screening for highest-risk subgroups cost <$100,000 per QALY gained.

          Limitations

          Models did not consider ages <50, RR< 1, or other imaging modalities.

          Conclusions

          Average-risk/low-breast density women undergoing triennial screening and higher-risk/high-breast density women receiving annual screening will maintain a similar or better balance of benefits and harms compared to biennial screening of average-risk women.

          Primary Funding Source

          National Cancer Institute

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          Author and article information

          Journal
          0372351
          596
          Ann Intern Med
          Ann. Intern. Med.
          Annals of internal medicine
          0003-4819
          1539-3704
          11 November 2016
          23 August 2016
          15 November 2016
          15 May 2017
          : 165
          : 10
          : 700-712
          Affiliations
          [1 ]Carbone Cancer Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA
          [2 ]Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
          [3 ]Department of Medicine and Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
          [4 ]Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
          [5 ]Department of Public Health Sciences, UC Davis School of Medicine, Davis, California, USA and Group Health Research Institute, Seattle, WA, USA and Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
          [6 ]Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
          [7 ]Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA
          [8 ]Department of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands
          [9 ]Department of Surgery and University of Vermont Cancer Center, College of Medicine, University of Vermont, Burlington, Vermont, USA
          [10 ]Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC, USA
          [11 ]Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA
          [12 ]Norris Cotton Cancer Center and The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA
          Author notes
          Corresponding author: Amy Trentham-Dietz, PhD, University of Wisconsin-Madison Carbone Cancer Center, 610 Walnut St., WARF Room 307, Madison, WI 53726; Tel 608-265-4175; trentham@ 123456wisc.edu

          Amy Trentham-Dietz and Karla Kerlikowske are co-first authors.

          Anna N. A. Tosteson and Jeanne S. Mandelblatt and are co-senior authors.

          Amy Trentham-Dietz, Karla Kerlikowske, Jeanne S. Mandelblatt, Natasha K. Stout, and Anna N. A. Tosteson were the writing committee.

          Author Mailing addresses:

          Amy Trentham-Dietz, PhD, MS, Department of Population Health Sciences and Carbone Cancer Center, School of Medicine & Public Health, University of Wisconsin-Madison, 610 Walnut St., WARF Room 307, Madison, WI 53726

          Karla Kerlikowske, MD, MS, 4150 Clement Street, VAMC (111A1), San Francisco, CA 94121

          Natasha K. Stout, PhD, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Landmark Center, 401 Park Drive, Suite 401, Boston, MA 02215

          Diana L. Miglioretti, PhD, Department of Public Health Sciences, UC Davis School of Medicine, One Shields Ave., Med Sci 1C, Room 145, Davis, CA 95616

          Clyde B. Schechter, MA, MD, Dept. of Family & Social Medicine, Albert Einstein College of Medicine, 1300 Morris Park Ave, Block Bldg. 406, Bronx, NY 10461

          Mehmet Ali Ergun, MSc, Department of Industrial and Systems Engineering, University of Wisconsin-Madison, 1513 University Avenue, Madison, WI, 53706

          Jeroen J. van den Broek, MS, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000 CA, Rottterdam, the Netherlands

          Oguzhan Alagoz, PhD, Department of Industrial & Systems Engineering, University of Wisconsin-Madison, 1513 University Avenue, Madison, WI 53706

          Brian Sprague, PhD, Office of Health Promotion Research, 1 S Prospect St, Burlington, VT 05401

          Nicolien van Ravesteyn, PhD, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000 CA, Rottterdam, the Netherlands

          Aimee M. Near, MPH, Lombardi Comprehensive Cancer Center, Georgetown University, 3300 Whitehaven Street NW, suite 4100, Washington, DC 20007

          Ronald E. Gangnon, PhD, Department of Population Health Sciences, 610 Walnut St, Madison, WI 53726

          John M. Hampton, MS, University of Wisconsin Carbone Cancer Center, 610 Walnut St., WARF Room 307, Madison, WI 53726

          Yaojen Chang, Dr.PH, MS, MPH, Lombardi Comprehensive Cancer Center, Georgetown University, 3300 Whitehaven Street NW, suite 4100, Washington, DC 20007

          Harry de Koning, MD, PhD, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000 CA, Rottterdam, the Netherlands

          Jeanne Mandelblatt, MD, MPH, Lombardi Comprehensive Cancer Center, 3300 Whitehaven Street, NW, Suite 4100, Washington, DC 20007

          Anna N. A. Tosteson, ScD, Geisel School of Medicine at Dartmouth, One Medical Center Drive (HB7505), Lebanon, NH 03756

          Article
          PMC5125086 PMC5125086 5125086 nihpa829265
          10.7326/M16-0476
          5125086
          27548583
          c478895a-a2f0-4888-9a8d-b5945a462521
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