Evidence map›Paper›PMID 40260293›Full record

ReviewFrontiers in oncology2025

Relationship between breast tissue involution and breast cancer.

Wenjing Li, Xian Zhao, Qinyu Han, Chuanxin Ren, Shang Gao, Yingying Liu, Xiangqi Li

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

7 authors.

Wenjing LiDepartment of Breast Center, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong, China.
Xian ZhaoDepartment of Breast Center, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong, China.
Qinyu HanDepartment of Breast Center, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong, China.
Chuanxin RenDepartment of The First Clinical Medical School, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Shang GaoDepartment of Breast Center, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong, China.
Yingying LiuDepartment of Breast Center, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong, China.
Xiangqi LiDepartment of Breast Center, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast tissue involution is a process in which the epithelial tissue of the mammary gland gradually disappears with age. The relationship between breast tissue involvement and breast cancer (BC) has received increasing amounts of attention in recent years. Many scholars believe that breast tissue involution is a significant risk factor for BC. Breast imaging parameters, particularly mammographic density (MD), may indirectly reflect the degree of breast tissue involution, which may provide a solid basis for classifying priority screening groups for BC. This review explored the relationship between breast tissue involution and BC by providing an overview of breast tissue involution and elaborating on the association between MD and BC. Consistent with the results of other studies, women with complete breast tissue involution had a lower risk of BC, whereas women with a high MD had a relatively greater risk of BC.

Indexed as

breast cancerbreast densitybreast involutionmammary glandTDLU

Identifiers

PMID40260293
PMCPMC12009883

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.