Evidence map›Paper›PMID 25948872›Full record

ArticleJournal of the National Cancer Institute2015

Benefits and harms of mammography screening after age 74 years: model estimates of overdiagnosis.

Nicolien T van Ravesteyn, Natasha K Stout, Clyde B Schechter, Eveline A M Heijnsdijk, Oguzhan Alagoz, Amy Trentham-Dietz, Jeanne S Mandelblatt, Harry J de Koning

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Surveillance mammography in older women-should we press on?Journal of the National Cancer Institute · 2026
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  18. Introduction to the Cancer Intervention and Surveillance Modeling Network (CISNET) Breast Cancer Models.Medical decision making : an international journal of the Society for Medical Decision Making · 2018
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  19. Modeling Ductal Carcinoma In Situ (DCIS): An Overview of CISNET Model Approaches.Medical decision making : an international journal of the Society for Medical Decision Making · 2018
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  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Nicolien T van RavesteynDepartment of Public Health, Erasmus MC, Rotterdam, the Netherlands (NTvR, EAMH, HJdK); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY (CBS); Department of Industrial and Systems Engineering (OA) and Carbone Cancer Center and Department of Population Health Sciences (ATD), University of Wisconsin-Madison, Madison, WI; Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Washington, DC (JSM). n.vanravesteyn@erasmusmc.nl.
Natasha K StoutDepartment of Public Health, Erasmus MC, Rotterdam, the Netherlands (NTvR, EAMH, HJdK); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY (CBS); Department of Industrial and Systems Engineering (OA) and Carbone Cancer Center and Department of Population Health Sciences (ATD), University of Wisconsin-Madison, Madison, WI; Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Washington, DC (JSM).
Clyde B SchechterDepartment of Public Health, Erasmus MC, Rotterdam, the Netherlands (NTvR, EAMH, HJdK); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY (CBS); Department of Industrial and Systems Engineering (OA) and Carbone Cancer Center and Department of Population Health Sciences (ATD), University of Wisconsin-Madison, Madison, WI; Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Washington, DC (JSM).
Eveline A M HeijnsdijkDepartment of Public Health, Erasmus MC, Rotterdam, the Netherlands (NTvR, EAMH, HJdK); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY (CBS); Department of Industrial and Systems Engineering (OA) and Carbone Cancer Center and Department of Population Health Sciences (ATD), University of Wisconsin-Madison, Madison, WI; Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Washington, DC (JSM).
Oguzhan AlagozDepartment of Public Health, Erasmus MC, Rotterdam, the Netherlands (NTvR, EAMH, HJdK); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY (CBS); Department of Industrial and Systems Engineering (OA) and Carbone Cancer Center and Department of Population Health Sciences (ATD), University of Wisconsin-Madison, Madison, WI; Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Washington, DC (JSM).
Amy Trentham-DietzDepartment of Public Health, Erasmus MC, Rotterdam, the Netherlands (NTvR, EAMH, HJdK); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY (CBS); Department of Industrial and Systems Engineering (OA) and Carbone Cancer Center and Department of Population Health Sciences (ATD), University of Wisconsin-Madison, Madison, WI; Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Washington, DC (JSM).
Jeanne S MandelblattDepartment of Public Health, Erasmus MC, Rotterdam, the Netherlands (NTvR, EAMH, HJdK); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY (CBS); Department of Industrial and Systems Engineering (OA) and Carbone Cancer Center and Department of Population Health Sciences (ATD), University of Wisconsin-Madison, Madison, WI; Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Washington, DC (JSM).
Harry J de KoningDepartment of Public Health, Erasmus MC, Rotterdam, the Netherlands (NTvR, EAMH, HJdK); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY (CBS); Department of Industrial and Systems Engineering (OA) and Carbone Cancer Center and Department of Population Health Sciences (ATD), University of Wisconsin-Madison, Madison, WI; Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Washington, DC (JSM).

Funding

Statistical Coordinating Center for the Breast Cancer Surveillance ConsortiumU01CA086076 · NCI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI MIGLIORETTI, DIANA L · 2000 to 2011
$8.5M
Comparative Modeling: Informing Breast Cancer Control Practice & PolicyU01CA152958 · NCI · GEORGETOWN UNIVERSITY · PI BERRY, DONALD A, DE KONING, HARRY J · 2010 to 2015
$7.6M
IMPROVING THE QUALITY OF MAMMOGRAPHIC INTERPRETATIONU01CA063731 · NCI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI BUIST, DIANA SM · 1994 to 2011
$6.7M
VERMONT BREAST CANCER SURVEILLANCE SYSTEMU01CA070013 · NCI · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI GELLER, BERTA M · 1995 to 2011
$6.7M
UTILITY AND OUTCOMES FROM MAMMOGRAPHY IN NORTH CAROLINAU01CA070040 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI YANKASKAS, BONNIE C · 1995 to 2011
$6.4M
San Francisco Mammography Registry-A Research SourceU01CA063740 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KERLIKOWSKE, KARLA M · 1994 to 2011
$6.2M
STRATEGIC STUDIES IN BREAST CANCER SURVEILLANCEU01CA086082 · NCI · DARTMOUTH COLLEGE · PI ONEGA, TRACY · 2000 to 2011
$4.9M
REFERRAL PATTERNS AND COST ANALYSIS OF SCREENING MAMMOGRAPHY--FOLLOW-UP/BIOPSYU01CA063736 · NCI · COOPER INSTITUTE · PI CUTTER, GARY · 1994 to 2004
$2.7M
NEW MEXICO MAMMOGRAPHY PROJECTU01CA069976 · NCI · UNIVERSITY OF NEW MEXICO · PI ROSENBERG, ROBERT D · 1995 to 2005
$2.7M
OUTCOMES ACROSS THE SPECTRUM OF BREAST CANCER CAREU01CA088283 · NCI · GEORGETOWN UNIVERSITY · PI MANDELBLATT, JEANNE · 2000 to 2010
$2.6M
NCI NIH HHS U01 CA152958NCI NIH HHS U01CA63731NCI NIH HHS U01CA63736NCI NIH HHS U01CA63740NCI NIH HHS U01CA69976NCI NIH HHS U01CA70013NCI NIH HHS U01CA70040NCI NIH HHS U01CA86076NCI NIH HHS U01CA86082NCI NIH HHS U01 CA88283PHS HHS HHSN261201100031C
6 · The paper itself

Abstract

backgroundThe aim of this study was to quantify the benefits and harms of mammography screening after age 74 years, focusing on the amount of overdiagnosis of invasive breast cancer and ductal carcinoma in situ (DCIS).

methodsThree well-established microsimulation models were used to simulate a cohort of American women born in 1960. All women received biennial screening starting at age 50 years with cessation ages varying from 74 up to 96 years. We estimated the number of life-years gained (LYG), quality-adjusted life-years, breast cancer deaths averted, false-positives, and overdiagnosed women per 1000 screens.

resultsThe models predicted that there were 7.8 to 11.4 LYG per 1000 screens at age 74 years (range across models), decreasing to 4.8 to 7.8 LYG per 1000 screens at age 80 years, and 1.4 to 2.4 LYG per 1000 screens at age 90 years. When adjusted for quality-of-life decrements, the LYG decreased by 5% to 13% at age 74 years and 11% to 22% at age 80 years. At age 90 to 92 years, all LYG were counterbalanced by a loss in quality-of-life, mainly because of the increasing number of overdiagnosed breast cancers per 1000 screens: 1.2 to 5.0 at age 74 years, 1.8 to 6.0 at age 80 years, and 3.7 to 7.5 at age 90 years. The age at which harms began to outweigh benefits shifted to a younger age when larger or longer utility losses because of a breast cancer diagnosis were assumed.

conclusionThe balance between screening benefits and harms becomes less favorable after age 74 years. At age 90 years, harms outweigh benefits, largely as a consequence of overdiagnosis. This age was the same across the three models, despite important model differences in assumptions on DCIS.

Indexed as

AgingModels, StatisticalAgedAge DistributionBreast NeoplasmsCarcinoma, Intraductal, NoninfiltratingEarly Detection of CancerFalse Positive ReactionsFemaleHumansMammographyMass ScreeningMiddle AgedQuality-Adjusted Life YearsSEER ProgramUnited States

Identifiers

PMID25948872
PMCPMC4822526

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.