Evidence map›Paper›PMID 40225779›Full record

ArticleChina CDC weekly2025

Detection and BI-RADS Classification of Breast Nodules in Urban Women - China, 2021.

Xiaoxi Liu, Yaxin Xing, Yining Zu, Heling Bao, Xue Ding, Yongchao Chen, Canqing Yu, Jun Lyu, Linhong Wang, Bo Wang and 3 more

Abstract read
In one paragraph

Article in China CDC weekly, 2025. 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

13 authors.

Xiaoxi Liu *Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China.
Yaxin Xing *Peking Union Medical College, Beijing, China.
Yining Zu *Meinian Institute of Health, Beijing, China.
Heling BaoInstitute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China.
Xue DingInstitute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China.
Yongchao ChenInstitute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China.
Canqing YuPeking University Health Science Center Meinian Public Health Institute, Beijing, China.
Jun LyuPeking University Health Science Center Meinian Public Health Institute, Beijing, China.
Linhong WangNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Bo WangMeinian Institute of Health, Beijing, China.
Sailimai ManMeinian Institute of Health, Beijing, China.
Liming LiPeking University Health Science Center Meinian Public Health Institute, Beijing, China.
Hui LiuInstitute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Female breast nodules represent the most frequently detected lesions during breast ultrasound screening. Notably, nodules classified as Breast Imaging Reporting and Data System (BI-RADS) 4 or 5 indicate an elevated risk of breast cancer. Nevertheless, the detection rate and BI-RADS classification of female breast nodules in China remain largely undocumented. What is added by this report?: In 2021, breast nodules were detected in 27.9% of urban women in China. Among women with breast nodules marked with BI-RADS classification information, 95.9% were categorized as BI-RADS 2-3, while 4.0% were classified as BI-RADS 4-5. Age, geographic location, per capita gross domestic product (GDP), body mass index (BMI), high triglyceride (TG), high low-density lipoprotein cholesterol (LDL-C), and diabetes were identified as risk factors for BI-RADS 4-5. What are the implications for public health practice?: This study highlights the importance of managing high-risk women with breast nodules through BI-RADS classification. Women with older age, high TG, high LDL-C, or diabetes demonstrate higher detection rates of BI-RADS 4-5, underscoring the need for targeted health interventions for high-risk populations while accounting for regional and socioeconomic disparities.

Indexed as

BI-RADSBreast nodulesChinaUrban women

Identifiers

PMID40225779
PMCPMC11982918

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.