Evidence map›Paper›PMID 26125419›Full record

ArticleMedical care2015

Racial differences in false-positive mammogram rates: results from the ACRIN Digital Mammographic Imaging Screening Trial (DMIST).

Anne Marie McCarthy, Philip Yamartino, Jianing Yang, Mirar Bristol, Emily F Conant, Katrina Armstrong

Abstract readComparative Study
In one paragraph

Article in Medical care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Health Care Segregation, Physician Recommendation, and Racial Disparities in BRCA1/2 Testing Among Women With Breast Cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2016
    Article
  5. Article
  6. Review
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

6 authors at 2 institutions in 1 country.

Anne Marie McCarthy*Massachusetts General Hospital Department of Medicine and Harvard Medical School, Boston, MA †Department of Medicine ‡Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Philip Yamartino
Jianing Yang
Mirar Bristol
Emily F Conant
Katrina Armstrong
Harvard University · USUniversity of Pennsylvania · US

Funding

ECOG-ACRIN NCORP Research Base - TMISTUG1CA189828 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer, MITCHELL D. SCHNALL · 2014 to 2026
$199.7M
Penn Center for Innovation in Personalized Breast ScreeningU54CA163313 · NCI · UNIVERSITY OF PENNSYLVANIA · PI ARMSTRONG, KATRINA, SCHNALL, MITCHELL D. · 2011 to 2017
$7.4M
NCI NIH HHS U54 CA163313NCI NIH HHS UG1 CA189828
6 · The paper itself

Abstract

backgroundMammography screening reduces breast cancer mortality, but false-positive tests are common. Few studies have assessed racial differences in false-positive rates.

objectivesWe compared false-positive mammography rates for black and white women, and the effect of patient and facility characteristics on false positives. RESEARCH DESIGN AND SUBJECTS: A prospective cohort study. From a sample of the American College of Radiology Imaging Network (ACRIN) Digital Mammographic Imaging Screening Trial (DMIST), we identified black/African American (N=3176) or white (N=26,446) women with no prior breast surgery or breast cancer. MEASURES: Race, demographics, and breast cancer risk factors were self-reported. Results of initial digital and film mammograms were assessed. False positives were defined as a positive mammogram (Breast Imaging Reporting and Data System category 0, 4, 5) with no cancer diagnosis within 15 months.

resultsThe false-positive rate for digital mammograms was 9.2% for black women compared with 7.8% for white women (P=0.009). After adjusting for age, black women had 17% increased odds of false-positive digital mammogram compared with whites (OR=1.17; 95% CI, 1.01-1.35; P=0.033). This association was attenuated after adjusting for patient factors, prior films, and study site (OR=1.04; 95% CI, 0.91-1.20; P=0.561). There was no difference in the occurrence of false positives by race for film mammography.

conclusionsBlack women had higher frequency of false-positive digital mammograms explained by lack of prior films and study site.The variation in the disparity between the established technique (film) and the new technology (digital) raises the possibility that racial differences in screening quality may be greatest for new technologies.

Indexed as

AdultBlack or African AmericanBreast NeoplasmsFalse Positive ReactionsFemaleHumansMammographyMass ScreeningMiddle AgedRadiographic Image Interpretation, Computer-AssistedWhite People

Identifiers

PMID26125419
PMCPMC4503517
OpenAlexW793287627

What OpenQuestion holds

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Registered trials

None linked

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.