Evidence map›Paper›PMID 31254158›Full record

ArticleBreast cancer research and treatment2019

Associations between mammographic density and tumor characteristics in Chinese women with breast cancer.

Erni Li, Jennifer L Guida, Yuan Tian, Hyuna Sung, Hela Koka, Mengjie Li, Ariane Chan, Han Zhang, Eric Tang, Changyuan Guo and 6 more

Open access · greenAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
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  5. Study on ABUS Applicability for Rural Women With Low Health Resources in China-Large-Scale Population, Non-Opportunistic Screening.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2025
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  8. MR-based radiomics predictive modelling of EGFR mutation and HER2 overexpression in metastatic brain adenocarcinoma: a two-centre study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Article
  9. Article
  10. Article
  11. Article
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  15. The epidemiologic factors associated with breast density: A review.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2022
    Review
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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

16 authors at 3 institutions in 2 countries.

Erni Li *National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Jennifer L Guida *Division of Cancer Epidemiology & Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA.
Yuan TianNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Hyuna SungDivision of Cancer Epidemiology & Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA.
Hela KokaDivision of Cancer Epidemiology & Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA.
Mengjie LiDivision of Cancer Epidemiology & Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA.
Ariane ChanVolpara Health Technologies Ltd, Wellington, New Zealand.
Han ZhangDivision of Cancer Epidemiology & Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA.
Eric TangDivision of Cancer Epidemiology & Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA.
Changyuan GuoNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Joseph DengDivision of Cancer Epidemiology & Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA.
Nan HuDivision of Cancer Epidemiology & Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA.
Ning LuNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Gretchen L GierachDivision of Cancer Epidemiology & Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA.
Jing LiNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. dr.lijing@163.com.
Xiaohong R YangDivision of Cancer Epidemiology & Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA. royang@mail.nih.gov.ORCID http://orcid.org/0000-0003-4451-8664
United States Department of Health and Human Services · USChinese Academy of Medical Sciences & Peking Union Medical College · CNAmerican Cancer Society · US

Funding

Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

purposeMammographic density (MD) is a strong risk factor for breast cancer, yet its relationship with tumor characteristics is not well established, particularly in Asian populations.

methodsMD was assessed from a total of 2001 Chinese breast cancer patients using Breast Imaging Reporting and Data System (BI-RADS) categories. Molecular subtypes were defined using immunohistochemical status on ER, PR, HER2, and Ki-67, as well as tumor grade. Multinomial logistic regression was used to test associations between MD and molecular subtype (luminal A = reference) adjusting for age, body mass index (BMI), menopausal status, parity, and nodal status.

resultsThe mean age at diagnosis was 51.7 years (SD = 10.7) and the average BMI was 24.7 kg/m

conclusionsAmong Chinese women with normal BMI, higher breast density was associated with HER2-enriched tumors. The results may partially explain the higher proportion of HER2+ tumors previously reported in Asian women.

Indexed as

Breast DensityAdultAgedBiomarkers, TumorBreast NeoplasmsChinaFemaleHumansImmunohistochemistryMammographyMiddle AgedNeoplasm GradingNeoplasm MetastasisNeoplasm StagingOdds RatioRisk FactorsBiomarkers, TumorBI-RADSBreast cancerMammographic densityTumor subtype

Identifiers

PMID31254158
PMCPMC7304859
OpenAlexW2954917423

What OpenQuestion holds

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LicenceTDM
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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.