ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2025
Mammographic Density in Relation to Breast Cancer Risk Factors among Chinese Women.
Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
backgroundIncreased mammographic density (MD) is a known breast cancer risk factor, but its influencing factors are unclear in Asian populations. This study examined the links between known breast cancer risk factors and quantitatively measured MD in 7,351 Chinese women with nonmalignant mammographic findings.
methodsVolparaDensity software quantified volumetric MD measures: total breast volume (TBV), absolute dense volume (ADV), percent dense volume (PDV = ADV/TBV), and nondense volume (NDV = TBV - ADV). Multivariable linear regression models assessed associations between these MD metrics and breast cancer risk factors.
resultsThe mean age of the population was 50.1 (SD = 8.3) years. The mean ADV, NDV, and PDV were 58.4 cm3 (SD = 32.1), 382.8 cm3 (SD = 202.0), and 14.8 % (SD = 7.1), respectively. PDV was inversely associated with age, weight, body mass index (BMI), parity, breastfeeding duration, and postmenopausal status but positively linked to height and age at menopause. NDV showed opposite associations. ADV had similar associations to PDV, except for height, weight, and BMI, which differed for women with the lowest NDV. PDV associations with age at menarche, age at first birth, and breastfeeding duration varied by BMI and menopausal status.
conclusionsMD may influence the relationships between reproductive factors and breast cancer risk, depending on MD measure, menopausal status, and BMI. IMPACT: This study examines how quantitative MD measures relate to known breast cancer risk factors in an East Asian population, factoring in menopausal status and BMI. The results underscore the complex role of MD and confounding factors in breast cancer risk, highlighting the need for tailored insights for future research and screening.
Indexed as
Identifiers
What OpenQuestion holds
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.