Evidence map›Paper›PMID 26756460›Full record

ArticleAnnals of internal medicine2016

Radiation-Induced Breast Cancer Incidence and Mortality From Digital Mammography Screening: A Modeling Study.

Diana L Miglioretti, Jane Lange, Jeroen J van den Broek, Christoph I Lee, Nicolien T van Ravesteyn, Dominique Ritley, Karla Kerlikowske, Joshua J Fenton, Joy Melnikow, Harry J de Koning and 1 more

2 registry-linked trialsOpen access · bronzeAbstract read
In one paragraph

Article in Annals of internal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 68 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 2 pooled it
13.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05882019 naunknown statusnot on this mapstarted 2023, after this paper: background citation

Evaluation of the "Bexa™" Breast Examination (BBE) as an Effective Solution to Breast Cancer Early Detection

TypeinterventionalSponsorSure, Inc.Ran2023 to 2023Enrolled700ConditionsBreast CancerArmsBreast Exam with Bexa
NCT06643767 narecruitingnot on this mapstarted 2024, after this paper: background citation

Evaluation of the Bexa Breast Examination (BBE) as an Effective Solution to Breast Cancer Early Detection

TypeinterventionalSponsorSure, Inc.Ran2024 to 2025Enrolled500ConditionsBreast CancerArmsBexa and focus ultrasound
3 · Its place in the literature

Who cites it

68 citing papers in PubMed, 2 syntheses or guidelines pooled it, 166 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  8. Article
  9. BMagnetic resonance in medicine · 2025
    Article
  10. Local Diagnostic Reference Levels in Digital Breast Tomosynthesis.Journal of medical radiation sciences · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Mammographic screening: hero or villain.Revista da Associacao Medica Brasileira (1992) · 2025
    Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Article

8 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 2 countries.

Diana L Miglioretti
Jane Lange
Jeroen J van den Broek
Christoph I Lee
Nicolien T van Ravesteyn
Dominique Ritley
Karla Kerlikowske
Joshua J Fenton
Joy Melnikow
Harry J de Koning
Rebecca A Hubbard
Erasmus MC · NLUniversity of California, Davis · USUniversity of California, San Francisco · USFred Hutch Cancer Center · US

Funding

ARRA - ADOPT New Technologies for RDC/CDMSU01CA080098 · NCI · AMERICAN COLLEGE OF RADIOLOGY · PI SCHNALL, MITCHELL D. · 1999 to 2011
$182.7M
Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Laura Marcu · 2002 to 2026
$84.9M
Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Diana L Miglioretti · 2011 to 2026
$52.9M
BIOSTATISTICS DATA MANAGEMENT CENTER FOR ACROINU01CA079778 · NCI · BROWN UNIVERSITY · PI GATSONIS, CONSTANTINE A. · 1999 to 2011
$48.6M
Comparative Modeling: Informing Breast Cancer Control Practice & PolicyU01CA152958 · NCI · GEORGETOWN UNIVERSITY · PI BERRY, DONALD A, DE KONING, HARRY J · 2010 to 2015
$7.6M
Vermont Screening Process Documentation UnitU54CA163303 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SPRAGUE, BRIAN L · 2011 to 2017
$6.4M
Statistical Methods for Estimation of Benefits & Harms of Repeat Cancer ScreeningR03CA182986 · NCI · UNIVERSITY OF PENNSYLVANIA · PI HUBBARD, REBECCA · 2014 to 2015
$160k
Intramural NIH HHSNCI NIH HHS HHSN261201100031CNCI NIH HHS P01 CA154292NCI NIH HHS P30 CA093373NCI NIH HHS R03 CA182986NCI NIH HHS U01 CA079778NCI NIH HHS U01 CA080098NCI NIH HHS U01 CA152958NCI NIH HHS U54 CA163303
6 · The paper itself

Abstract

backgroundEstimates of risk for radiation-induced breast cancer from mammography screening have not considered variation in dose exposure or diagnostic work-up after abnormal screening results.

objectiveTo estimate distributions of radiation-induced breast cancer incidence and mortality from digital mammography screening while considering exposure from screening and diagnostic mammography and dose variation among women.

design2 simulation-modeling approaches.

settingU.S. population. PATIENTS: Women aged 40 to 74 years.

interventionAnnual or biennial digital mammography screening from age 40, 45, or 50 years until age 74 years. MEASUREMENTS: Lifetime breast cancer deaths averted (benefits) and radiation-induced breast cancer incidence and mortality (harms) per 100,000 women screened.

resultsAnnual screening of 100,000 women aged 40 to 74 years was projected to induce 125 breast cancer cases (95% CI, 88 to 178) leading to 16 deaths (CI, 11 to 23), relative to 968 breast cancer deaths averted by early detection from screening. Women exposed at the 95th percentile were projected to develop 246 cases of radiation-induced breast cancer leading to 32 deaths per 100,000 women. Women with large breasts requiring extra views for complete examination (8% of population) were projected to have greater radiation-induced breast cancer risk (266 cancer cases and 35 deaths per 100,000 women) than other women (113 cancer cases and 15 deaths per 100,000 women). Biennial screening starting at age 50 years reduced risk for radiation-induced cancer 5-fold. LIMITATION: Life-years lost from radiation-induced breast cancer could not be estimated.

conclusionRadiation-induced breast cancer incidence and mortality from digital mammography screening are affected by dose variability from screening, resultant diagnostic work-up, initiation age, and screening frequency. Women with large breasts may have a greater risk for radiation-induced breast cancer. PRIMARY FUNDING SOURCE: Agency for Healthcare Research and Quality, U.S. Preventive Services Task Force, National Cancer Institute.

Indexed as

AdultAgedBreastBreast NeoplasmsComputer SimulationEarly Detection of CancerFemaleHumansIncidenceMammographyMass ScreeningMiddle AgedNeoplasms, Radiation-InducedRadiation DosageRisk FactorsUnited States

Identifiers

PMID26756460
PMCPMC4878445
OpenAlexW2291904792

What OpenQuestion holds

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Registered trials

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.