Evidence map›Paper›PMID 42383253›Full record

ArticleInternational journal of breast cancer2026

High Mammographic Density in Younger Women and Its Implications for Breast Cancer Subtypes.

Sariningsih Hikmawati, Kardinah, Rizky Ifandriani Putri, Vincent Laiman, Intan Mupangat, Rozan Muhammad Irfan, Zannuba Arifah Noor, Putri Noviantika Laskarsantri, Laksmitha Saktiono Safitri, Artanto Wahyono and 2 more

Abstract read
In one paragraph

Article in International journal of breast cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Sariningsih HikmawatiDoctoral Program of Medical and Health Science, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia, ugm.ac.id.ORCID https://orcid.org/0009-0000-0493-7405
KardinahDepartment of Radiology, Dharmais Cancer Hospital, Jakarta, Indonesia, dharmais.co.id.ORCID https://orcid.org/0009-0006-6062-8088
Rizky Ifandriani PutriDepartment of Anatomical Pathology, Dharmais Cancer Hospital, Jakarta, Indonesia, dharmais.co.id.ORCID https://orcid.org/0009-0001-7665-4380
Vincent LaimanDepartment of Radiology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia, ugm.ac.id.ORCID https://orcid.org/0000-0001-5932-872X
Intan MupangatDepartment of Radiology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia, ugm.ac.id.ORCID https://orcid.org/0009-0009-0750-5742
Rozan Muhammad IrfanDepartment of Radiology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia, ugm.ac.id.
Zannuba Arifah NoorDepartment of Radiology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia, ugm.ac.id.ORCID https://orcid.org/0000-0002-4221-9583
Putri Noviantika LaskarsantriDepartment of Radiology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia, ugm.ac.id.ORCID https://orcid.org/0009-0000-9854-3959
Laksmitha Saktiono SafitriFaculty of Medicine, Universitas Muhammadiyah Malang, Malang, Indonesia, umm.ac.id.ORCID https://orcid.org/0009-0003-0472-9552
Artanto WahyonoDr Sardjito General Hospital, Yogyakarta, Indonesia.ORCID https://orcid.org/0000-0001-6870-4475
Didik Setyo HeriyantoDr Sardjito General Hospital, Yogyakarta, Indonesia.ORCID https://orcid.org/0000-0001-9728-5046
Lina ChoridahDepartment of Radiology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia, ugm.ac.id.ORCID https://orcid.org/0000-0002-0917-9372

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: High breast density is commonly observed in younger breast cancer patients (<45 years), and Asian women generally have dense breasts even beyond the age of 45 years. Its relationship with breast cancer subtypes and its profile remains unclear. This study is aimed at exploring the association between mammographic density and breast cancer molecular subtypes. Methods: A cross-sectional study evaluating mammographic density based on the 2013 BI-RADS classification among breast cancer patients at Dharmais Cancer Hospital between 2021 and 2023 was conducted. Clinicopathological variables-including histological subtype, tumor grade, ER, PR, HER2 status, Ki-67 index, and molecular subtypes by immunohistochemistry-were analyzed. Results: High breast density (BI-RADS C and D) was observed in 69% of patients, with Category C being the most common (57.1%). Invasive ductal carcinoma of no special type was the most prevalent and 47.2% of tumors were high grade. Most tumors were ER-negative (67.1%), PR-negative (59.6%), and HER2 0 (54.0%), with high Ki-67 index in 70.2% of cases. Age was associated with breast Density C and D and TNBC molecular subtype ( Conclusion: Younger breast cancer patients were associated with higher breast density and more aggressive tumor subtypes, which correlated with HER2 and Ki-67 expressions in breast cancer. These underscore the relevance of age-related biological factors in shaping breast cancer characteristics. However, among Indonesian women over 45 years old, the proportion of high breast density remains remarkably high (65.6%), suggesting that factors beyond age-such as genetic, hormonal, or lifestyle influences-may contribute to the persistence of dense breast tissue in this population.

Indexed as

age factorsbreast densityHER2Ki-67mammography

Identifiers

PMID42383253
PMCPMC13315124

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.