Evidence map›Paper›PMID 24957223›Full record

ArticleJournal of the National Cancer Institute2014

Changes in breast cancer risk distribution among Vermont women using screening mammography.

Kenyon C Bolton, John L Mace, Pamela M Vacek, Sally D Herschorn, Ted A James, Jeffrey A Tice, Karla Kerlikowske, Berta M Geller, Donald L Weaver, Brian L Sprague

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 35% 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.

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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Risk-Stratified Breast Cancer Screening in Malaysia: Challenges and Opportunities.Asian Pacific journal of cancer prevention : APJCP · 2024
    Review
  3. Article
  4. Article
  5. Article
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

10 authors at 1 institution in 1 country.

Kenyon C BoltonAffiliations of authors: Office of Health Promotion Research (KCB, JLM, BMG, BLS), Department of Biostatistics (PMV), Vermont Cancer Center (PMV, SDH, TAJ, DLW, BLS), Department of Radiology (SDH), Department of Surgery (TAJ, BLS), Department of Family Medicine (BMG), and Department of Pathology (DLW), University of Vermont, Burlington, VT; Departments of Medicine and Epidemiology and Biostatistics (JAT, KK), and General Internal Medicine Section (KK), Department of Veterans Affairs, University of California, San Francisco, CA.
John L MaceAffiliations of authors: Office of Health Promotion Research (KCB, JLM, BMG, BLS), Department of Biostatistics (PMV), Vermont Cancer Center (PMV, SDH, TAJ, DLW, BLS), Department of Radiology (SDH), Department of Surgery (TAJ, BLS), Department of Family Medicine (BMG), and Department of Pathology (DLW), University of Vermont, Burlington, VT; Departments of Medicine and Epidemiology and Biostatistics (JAT, KK), and General Internal Medicine Section (KK), Department of Veterans Affairs, University of California, San Francisco, CA.
Pamela M VacekAffiliations of authors: Office of Health Promotion Research (KCB, JLM, BMG, BLS), Department of Biostatistics (PMV), Vermont Cancer Center (PMV, SDH, TAJ, DLW, BLS), Department of Radiology (SDH), Department of Surgery (TAJ, BLS), Department of Family Medicine (BMG), and Department of Pathology (DLW), University of Vermont, Burlington, VT; Departments of Medicine and Epidemiology and Biostatistics (JAT, KK), and General Internal Medicine Section (KK), Department of Veterans Affairs, University of California, San Francisco, CA.
Sally D HerschornAffiliations of authors: Office of Health Promotion Research (KCB, JLM, BMG, BLS), Department of Biostatistics (PMV), Vermont Cancer Center (PMV, SDH, TAJ, DLW, BLS), Department of Radiology (SDH), Department of Surgery (TAJ, BLS), Department of Family Medicine (BMG), and Department of Pathology (DLW), University of Vermont, Burlington, VT; Departments of Medicine and Epidemiology and Biostatistics (JAT, KK), and General Internal Medicine Section (KK), Department of Veterans Affairs, University of California, San Francisco, CA.
Ted A JamesAffiliations of authors: Office of Health Promotion Research (KCB, JLM, BMG, BLS), Department of Biostatistics (PMV), Vermont Cancer Center (PMV, SDH, TAJ, DLW, BLS), Department of Radiology (SDH), Department of Surgery (TAJ, BLS), Department of Family Medicine (BMG), and Department of Pathology (DLW), University of Vermont, Burlington, VT; Departments of Medicine and Epidemiology and Biostatistics (JAT, KK), and General Internal Medicine Section (KK), Department of Veterans Affairs, University of California, San Francisco, CA.
Jeffrey A TiceAffiliations of authors: Office of Health Promotion Research (KCB, JLM, BMG, BLS), Department of Biostatistics (PMV), Vermont Cancer Center (PMV, SDH, TAJ, DLW, BLS), Department of Radiology (SDH), Department of Surgery (TAJ, BLS), Department of Family Medicine (BMG), and Department of Pathology (DLW), University of Vermont, Burlington, VT; Departments of Medicine and Epidemiology and Biostatistics (JAT, KK), and General Internal Medicine Section (KK), Department of Veterans Affairs, University of California, San Francisco, CA.
Karla KerlikowskeAffiliations of authors: Office of Health Promotion Research (KCB, JLM, BMG, BLS), Department of Biostatistics (PMV), Vermont Cancer Center (PMV, SDH, TAJ, DLW, BLS), Department of Radiology (SDH), Department of Surgery (TAJ, BLS), Department of Family Medicine (BMG), and Department of Pathology (DLW), University of Vermont, Burlington, VT; Departments of Medicine and Epidemiology and Biostatistics (JAT, KK), and General Internal Medicine Section (KK), Department of Veterans Affairs, University of California, San Francisco, CA.
Berta M GellerAffiliations of authors: Office of Health Promotion Research (KCB, JLM, BMG, BLS), Department of Biostatistics (PMV), Vermont Cancer Center (PMV, SDH, TAJ, DLW, BLS), Department of Radiology (SDH), Department of Surgery (TAJ, BLS), Department of Family Medicine (BMG), and Department of Pathology (DLW), University of Vermont, Burlington, VT; Departments of Medicine and Epidemiology and Biostatistics (JAT, KK), and General Internal Medicine Section (KK), Department of Veterans Affairs, University of California, San Francisco, CA.
Donald L WeaverAffiliations of authors: Office of Health Promotion Research (KCB, JLM, BMG, BLS), Department of Biostatistics (PMV), Vermont Cancer Center (PMV, SDH, TAJ, DLW, BLS), Department of Radiology (SDH), Department of Surgery (TAJ, BLS), Department of Family Medicine (BMG), and Department of Pathology (DLW), University of Vermont, Burlington, VT; Departments of Medicine and Epidemiology and Biostatistics (JAT, KK), and General Internal Medicine Section (KK), Department of Veterans Affairs, University of California, San Francisco, CA.
Brian L SpragueAffiliations of authors: Office of Health Promotion Research (KCB, JLM, BMG, BLS), Department of Biostatistics (PMV), Vermont Cancer Center (PMV, SDH, TAJ, DLW, BLS), Department of Radiology (SDH), Department of Surgery (TAJ, BLS), Department of Family Medicine (BMG), and Department of Pathology (DLW), University of Vermont, Burlington, VT; Departments of Medicine and Epidemiology and Biostatistics (JAT, KK), and General Internal Medicine Section (KK), Department of Veterans Affairs, University of California, San Francisco, CA. brian.sprague@uvm.edu.
University of Vermont · US

Funding

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
Vermont Screening Process Documentation UnitU54CA163303 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SPRAGUE, BRIAN L · 2011 to 2017
$6.4M
NCI NIH HHS P01 CA154292NCI NIH HHS U54 CA163303
6 · The paper itself

Abstract

backgroundScreening mammography utilization in Vermont has declined since 2009 during a time of changing screening guidelines and increased interest in personalized screening regimens. This study evaluates whether the breast cancer risk distribution of the state's screened population changed during the observed decline.

methodsWe examined the breast cancer risk distribution among screened women between 2001 and 2012 using data from the Vermont Breast Cancer Surveillance System. We estimated each screened woman's 5-year risk of breast cancer using the Breast Cancer Surveillance Consortium risk calculator. Annual screening counts by risk group were normalized and age-adjusted to the Vermont female population by direct standardization.

resultsThe normalized rate of low-risk (5-year breast cancer risk of <1%) women screened increased 8.3% per year (95% confidence interval [CI] = 4.8 to 11.9) between 2003 and 2008 and then declined by -5.4% per year (95% CI = -8.1 to -2.6) until 2012. When stratified by age group, the rate of low-risk women screened declined -4.4% per year (95% CI = -8.8 to 0.1; not statistically significant) for ages 40 to 49 years and declined a statistically significant -7.1% per year (95% CI = -12.1 to -2.0) for ages 50 to 74 years during 2008 to 2012. These declines represented the bulk of overall decreases in screening after 2008, with rates for women categorized in higher risk levels generally exhibiting small annual changes.

conclusionsThe observed decline in women screened in Vermont in recent years is largely attributable to reductions in screening visits by women who are at low risk of developing breast cancer.

Indexed as

AdultAgedAge DistributionBreast NeoplasmsEarly Detection of CancerFemaleHumansMaleMammographyMass ScreeningMiddle AgedPractice Guidelines as TopicRisk AssessmentUnited StatesVermont

Identifiers

PMID24957223
PMCPMC4375382
OpenAlexW2001223962

What OpenQuestion holds

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Registered trials

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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.