Evidence map›Paper›PMID 29651637›Full record

ReviewBreast cancer (Tokyo, Japan)2018

An overview of mammographic density and its association with breast cancer.

Shayan Shaghayeq Nazari, Pinku Mukherjee

2 registry-linked trialsOpen access · hybridAbstract readReview
In one paragraph

Review in Breast cancer (Tokyo, Japan), 2018. 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 149 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
149citing papers in PubMed, 5 pooled it
20.7field-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.

NCT03920098 unknown statusnot on this mapstarted 2019, after this paper: background citation

The Chilean Maternal and Infant Nutrition Cohort Study II

TypeobservationalSponsorInstituto de Nutrición y Tecnología de los AlimentosRan2019 to 2023Enrolled1,927ConditionsBreast Density, Body Composition, Nutritional Status, Mental Health IssueArmsNutrition and mental health during pregnancy
NCT07782814 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

An Investigation Into Dielectric Testing for the Evaluation and Characterisation of Breast Tissue Using a Novel Time-Domain Bioimpedance Tool

TypeobservationalSponsorZedsen LimitedRan2026 to 2028Enrolled220ConditionsBreast Cancer, Breast - FemaleArmsTD-BIS scanner
3 · Its place in the literature

Who cites it

149 citing papers in PubMed, 5 syntheses or guidelines pooled it, 294 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. A Randomized Phase IIb Study of Low-dose Tamoxifen in Chest-irradiated Cancer Survivors at Risk for Breast Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Trial
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Psychosocial Impact of Breast Density Notification Through Breast Cancer Screening: A Qualitative Interview Study.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Diagnostic sensitivity of mammography and magnetic resonance imaging for ductal carcinomaChinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2025
    Article

89 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

2 authors at 1 institution in 1 country.

Shayan Shaghayeq NazariDepartment of Biological Sciences, University of North Carolina at Charlotte, University City Blvd 9201, Charlotte, NC, 28223-0001, USA.
Pinku MukherjeeDepartment of Biological Sciences, University of North Carolina at Charlotte, University City Blvd 9201, Charlotte, NC, 28223-0001, USA. pmukherj@uncc.edu.
University of North Carolina at Charlotte · US

Funding

Predictive Cancer Diagnostics and Therapy ResponseR01CA135650 · NCI · MICHIGAN STATE UNIVERSITY · PI MEDAROVA, ZDRAVKA O, MOORE, ANNA · 2008 to 2018
$4.6M
NCI NIH HHS R01 CA135650
6 · The paper itself

Abstract

In 2017, breast cancer became the most commonly diagnosed cancer among women in the US. After lung cancer, breast cancer is the leading cause of cancer-related mortality in women. The breast consists of several components, including milk storage glands, milk ducts made of epithelial cells, adipose tissue, and stromal tissue. Mammographic density (MD) is based on the proportion of stromal, epithelial, and adipose tissue. Women with high MD have more stromal and epithelial cells and less fatty adipose tissue, and are more likely to develop breast cancer in their lifetime compared to women with low MD. Because of this correlation, high MD is an independent risk factor for breast cancer. Further, mammographic screening is less effective in detecting suspicious lesions in dense breast tissue, which can lead to late-stage diagnosis. Molecular differences between dense and non-dense breast tissues explain the underlying biological reasons for why women with dense breasts are at a higher risk for developing breast cancer. The goal of this review is to highlight the current molecular understanding of MD, its association with breast cancer risk, the demographics pertaining to MD, and the environmental factors that modulate MD. Finally, we will review the current legislation regarding the disclosure of MD on a traditional screening mammogram and the supplemental screening options available to women with dense breast tissue.

Indexed as

Breast DensityBiomarkers, TumorBreastBreast NeoplasmsEarly Detection of CancerEpithelial CellsExtracellular Matrix ProteinsFemaleFibroblastsHumansMammographyRisk FactorsBiomarkers, TumorExtracellular Matrix ProteinsBreast cancerDense breast tissueExtracellular matrix stiffnessMammographic densityMammography

Identifiers

PMID29651637
PMCPMC5906528
OpenAlexW2796827612

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.