Evidence map›Paper›PMID 27978856›Full record

ArticleBreast cancer research : BCR2016

Involution of breast tissue and mammographic density.

Gertraud Maskarinec, Dan Ju, David Horio, Lenora W M Loo, Brenda Y Hernandez

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Reproductive Factors Related to Childbearing and a Novel Automated Mammographic Measure, V.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  6. Review
  7. Breast clinical target volume: HU-based glandular CTVs and ESTRO CTVs in modern and historical radiotherapy treatment planning.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2022
    Article
  8. Article
  9. Article
  10. 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

5 authors at 1 institution in 1 country.

Gertraud MaskarinecUniversity of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI, 96813, USA. gertraud@cc.hawaii.edu.ORCID 0000-0002-8129-958X
Dan JuUniversity of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI, 96813, USA.
David HorioUniversity of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI, 96813, USA.
Lenora W M LooUniversity of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI, 96813, USA.
Brenda Y HernandezUniversity of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI, 96813, USA.
University of Hawaiʻi at Mānoa · US

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Xin Chen · 1996 to 2026
$56.2M
Untangling Media Influences on Adolescent SmokingR21CA100250 · NCI · UNIVERSITY OF WISCONSIN MADISON · PI GUNTHER, ALBERT C · 2003 to 2004
$291k
NCI NIH HHS P30 CA071789NCI NIH HHS R21 CA100250
6 · The paper itself

Abstract

backgroundMammographic density decreases and involution of breast tissue increases with age; both are thought to be risk factors for breast cancer. The current study investigated the relationship between involution or hormone treatment (HT) and breast density among multiethnic patients with breast cancer in Hawaii.

methodsPatients with breast cancer cases were recruited from a nested case-control study within the Multiethnic Cohort. HT use was self-reported at cohort entry and at the time of the density study. Mammographic density and involution in adjacent non-tumor breast tissue were assessed using established methods. Linear regression was applied to evaluate the correlation between involution and four density measures and to compute adjusted means by involution status while adjusting for confounders.

resultsIn the 173 patients with breast cancer, mean percent breast density was 41.2% in mammograms taken approximately 1 year before diagnosis. The respective proportions of women with no, partial, and complete involution were 18.5, 51.4, and 30.1%, respectively and the adjusted density values for these categories were 32.5, 39.2, and 40.2% (p = 0.15). In contrast, the size of the dense area was significantly associated with involution (p = 0.001); the values ranged from 29.7 cm

conclusionsContrary to previous reports, greater lobular involution was not related to lower mammographic density but to higher dense area. Possibly, percent density during the involution process depends on the timing of mammographic density assessment, as epithelial tissue is first replaced with radiographically dense stromal tissue and only later with fat.

Indexed as

Breast DensityAgedBreast NeoplasmsCase-Control StudiesFemaleHumansImmunohistochemistryMammary Glands, HumanMammographyMiddle AgedRisk FactorsBreast tissueEthnicityImmunohistochemistryMarker expressionTissue microarray

Identifiers

PMID27978856
PMCPMC5159985
OpenAlexW2564566945

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.