Evidence map›Paper›PMID 34651101›Full record

ArticleJNCI cancer spectrum2021

Quantitative Mammographic Density Measurements and Molecular Subtypes in Chinese Women With Breast Cancer.

Yuan Tian, Jennifer L Guida, Hela Koka, Er-Ni Li, Bin Zhu, Hyuna Sung, Ariane Chan, Han Zhang, Eric Tang, Changyuan Guo and 6 more

Open access · goldAbstract read
In one paragraph

Article in JNCI cancer spectrum, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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
    Article
  3. Article
  4. 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

16 authors at 4 institutions in 2 countries.

Yuan TianNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jennifer L GuidaDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA.ORCID 0000-0001-5590-5286
Hela KokaDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA.
Er-Ni LiNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Bin ZhuDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA.
Hyuna SungDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA.ORCID 0000-0002-8021-5997
Ariane ChanScience and Technology, Volpara Health Technologies, Wellington, New Zealand.
Han ZhangDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA.
Eric TangDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA.
Changyuan GuoNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Joseph DengDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA.
Nan HuDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA.
Ning LuNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Gretchen L GierachDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA.ORCID 0000-0002-0165-5522
Jing LiNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xiaohong R YangDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA.ORCID 0000-0003-4451-8664
National Institutes of Health · USChinese Academy of Medical Sciences & Peking Union Medical College · CNAmerican Cancer Society · USUnited States Department of Health and Human Services · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Studies investigating associations between mammographic density (MD) and breast cancer subtypes have generated mixed results. We previously showed that having extremely dense breasts was associated with the human epidermal growth factor receptor-2 (HER2)-enriched subtype in Chinese breast cancer patients. Methods: In this study, we reevaluated the MD-subtype association in 1549 Chinese breast cancer patients, using VolparaDensity software to obtain quantitative MD measures. All statistical tests were 2-sided. Results: Compared with women with luminal A tumors, women with luminal B/HER2- (odds ratio [OR] = 1.20, 95% confidence interval [CI] = 1.04 to 1.38; Conclusion: Although biological mechanisms remain to be investigated, the associations for the HER2-enriched and luminal B subtypes with increasing MD may partially explain the higher prevalence of luminal B and HER2+ breast cancers previously reported in Asian women.

Indexed as

Breast DensityMammographyAdultAsian PeopleBody Mass IndexBreast NeoplasmsChinaConfidence IntervalsErb-b2 Receptor Tyrosine KinasesFemaleHumansImmunohistochemistryKi-67 AntigenMiddle AgedOdds RatioReceptors, EstrogenErb-b2 Receptor Tyrosine KinasesKi-67 AntigenReceptors, EstrogenReceptors, Progesterone

Identifiers

PMID34651101
PMCPMC7791622
OpenAlexW3119040964

What OpenQuestion holds

Textmetadata
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.