Evidence map›Paper›PMID 28177856›Full record

ArticleJournal of women's health (2002)2017

Change in Breast Cancer Screening Intervals Since the 2009 USPSTF Guideline.

Karen J Wernli, Robert F Arao, Rebecca A Hubbard, Brian L Sprague, Jennifer Alford-Teaster, Jennifer S Haas, Louise Henderson, Deidre Hill, Christoph I Lee, Anna N A Tosteson and 1 more

Abstract read
In one paragraph

Article in Journal of women's health (2002), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

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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.

Karen J Wernli1 Group Health Research Institute , Seattle, Washington.
Robert F Arao1 Group Health Research Institute , Seattle, Washington.
Rebecca A Hubbard3 Department of Biostatistics and Epidemiology, University of Pennsylvania , Philadelphia, Pennsylvania.
Brian L Sprague4 Department of Surgery, Office of Health Promotion Research, and the University of Vermont Cancer Center, University of Vermont , Burlington, Vermont.
Jennifer Alford-Teaster5 The Dartmouth Institute for Health Policy and Clinical Practice , Geisel School of Medicine at Dartmouth, Lebanon , New Hampshire.
Jennifer S Haas7 Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts.
Louise Henderson9 Department of Radiology, University of North Carolina , Chapel Hill, North Carolina.
Deidre Hill10 University of New Mexico Cancer Center and School of Medicine, Albuquerque, New Mexico .
Christoph I Lee2 Department of Health Services, University of Washington School of Public Health , Seattle, Washington.
Anna N A Tosteson6 Departments of Biomedical Science and Epidemiology, Geisel School of Medicine at Dartmouth , Lebanon , New Hampshire.
Tracy Onega6 Departments of Biomedical Science and Epidemiology, Geisel School of Medicine at Dartmouth , Lebanon , New Hampshire.

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
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
Promoting personalized decisions for breast cancer screening for women AND theirU54CA163307 · NCI · DARTMOUTH COLLEGE · PI HAAS, JENNIFER S, ONEGA, TRACY · 2011 to 2017
$6.1M
NCI NIH HHS HHSN261201100031CNCI NIH HHS P01 CA154292NCI NIH HHS P30 CA023108NCI NIH HHS U54 CA163303NCI NIH HHS U54 CA163307
6 · The paper itself

Abstract

backgroundIn 2009, the U.S. Preventive Services Task Force (USPSTF) recommended biennial mammography for women aged 50-74 years and shared decision-making for women aged 40-49 years for breast cancer screening. We evaluated changes in mammography screening interval after the 2009 recommendations. MATERIALS AND

methodsWe conducted a prospective cohort study of women aged 40-74 years who received 821,052 screening mammograms between 2006 and 2012 using data from the Breast Cancer Surveillance Consortium. We compared changes in screening intervals and stratified intervals based on whether the mammogram at the end of the interval occurred before or after the 2009 recommendation. Differences in mean interval length by woman-level characteristics were compared using linear regression.

resultsThe mean interval (in months) minimally decreased after the 2009 USPSTF recommendations. Among women aged 40-49 years, the mean interval decreased from 17.2 months to 17.1 months (difference -0.16%, 95% confidence interval [CI] -0.30 to -0.01). Similar small reductions were seen for most age groups. The largest change in interval length in the post-USPSTF period was declines among women with a first-degree family history of breast cancer (difference -0.68%, 95% CI -0.82 to -0.54) or a 5-year breast cancer risk ≥2.5% (difference -0.58%, 95% CI -0.73 to -0.44).

conclusionsThe 2009 USPSTF recommendation did not lengthen the average mammography interval among women routinely participating in mammography screening. Future studies should evaluate whether breast cancer screening intervals lengthen toward biennial intervals following new national 2016 breast cancer screening recommendations, particularly among women less than 50 years of age.

Indexed as

Early Detection of CancerAdultAdvisory CommitteesAgedAge FactorsBreastBreast NeoplasmsFemaleHumansMammographyMass ScreeningMiddle AgedRisk FactorsTime Factorsbreast neoplasmsearly detection of cancermammographystandards

Identifiers

PMID28177856
PMCPMC5576213

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.