Evidence map›Paper›PMID 24599445›Full record

ArticleInternational journal of cancer2014

Changes in mammographic density over time in breast cancer cases and women at high risk for breast cancer.

Meghan E Work, Laura L Reimers, Anne S Quante, Katherine D Crew, Amy Whiffen, Mary Beth Terry

Open access · hybridAbstract readComparative Study
In one paragraph

Article in International journal of cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
3.9field-weighted citation impact, top 7% 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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Long-term excess risk of breast cancer after a single breast density measurement.European journal of cancer (Oxford, England : 1990) · 2019
    Article
  17. Longitudinal Changes in Volumetric Breast Density in Healthy Women across the Menopausal Transition.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Article
  18. Article
  19. Breast Cancer Risk and Progressive Histology in Serial Benign Biopsies.Journal of the National Cancer Institute · 2017
    Article
  20. 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

6 authors at 3 institutions in 2 countries.

Meghan E WorkDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY.
Laura L Reimers
Anne S Quante
Katherine D Crew
Amy Whiffen
Mary Beth Terry
Columbia University · USNew York Hospital Queens · USNewYork–Presbyterian Hospital · US

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
BMP Inhibitors to Treat Fibrodysplasia Ossificans ProgressivaZIATR000008 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI SANDERSON, PHILIP · 2015 to 2021
$10.7M
METROPOLITAN NEW YORK REGISTRY OF BREAST CANCER FAMILIESU01CA069398 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI TERRY, MARY BETH · 1995 to 2010
$10.5M
CANCER EPIDEMIOLOGY/BIOSTATISTICS/ENVIRONMENTAL SCIENCEST32CA009529 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI NEUGUT, ALFRED I. · 1985 to 2012
$4.3M
CLINICAL AND TRANSLATIONAL SCIENCE AWARDTL1RR024158 · NCRR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2006 to 2011
$1.6M
NCATS NIH HHS TL1 TR00008NCI NIH HHS T32 CA009529NCI NIH HHS U01 CA069398NCRR NIH HHS TL1 RR024158NIEHS NIH HHS P30 ES009089
6 · The paper itself

Abstract

High mammographic breast density is one of the strongest intermediate markers of breast cancer risk, and decreases in density over time have been associated with decreases in breast cancer risk. Using repeated measures of mammographic density in a cohort of high-risk women, the Women at Risk (WAR) cohort at Columbia University Medical Center (N = 2670), we examined whether changes in prediagnostic mammographic density differed among 85 prospectively-ascertained breast cancer cases and 85 age-matched controls, using a nested case-control design. Median age at first mammogram was 51 years (range, 29-77 years), with a median of 4 years between first and second prediagnostic mammogram (range, 1-15 years). Using linear regression with change in percent density as the outcome, we found that in women who did not go on to be diagnosed with breast cancer, change in percent density decreased as time between first and second mammogram increased (β = -1.62% per year, p = 0.004). However, in women who did go on to be diagnosed with breast cancer, there was no overall change in percent density associated with time between first and second mammogram (β = 0.29% per year, p = 0.61); the change over time was statistically significantly different between cases versus controls (p <0.009). If replicated in larger cohorts, these results suggest that within-individual changes in mammographic density as measured by percent density may be a useful biomarker of breast cancer risk.

Indexed as

AdultAgedAged, 80 and overAge FactorsBreastBreast DensityBreast NeoplasmsCase-Control StudiesFemaleFollow-Up StudiesHumansMammary Glands, HumanMiddle AgedNeoplasm StagingPostmenopausePrognosisbreast cancercancer biomarkerhigh-risk cohortmammographic density

Identifiers

PMID24599445
PMCPMC4107003
OpenAlexW1617940311

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.