Evidence map›Paper›PMID 39990847›Full record

ArticleSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2024

[Factors Influencing Progression on the Ultrasound BI-RADS Categories: An Analysis Based on a Breast Cancer Screening Cohort].

Wanting Feng, Yilin Teng, Huifang Yang, Bin Xu, Jiayuan Li, Weidong Luo

Abstract readEnglish Abstract
In one paragraph

Article in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Wanting Feng/ ( 610041) Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
Yilin Teng/ ( 610041) Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
Huifang Yang/ ( 610041) Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
Bin Xu/ ( 610041) Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
Jiayuan Li/ ( 610041) Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
Weidong Luo/ ( 610041) Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Ultrasound categories of Breast Imaging Reporting and Data System (BI-RADS) are an important outcome used in the evaluation of the characteristics of breast lesions. In this study, we aim to explore the potential influencing factors that may cause the progression of BI-RADS categories. Methods: Based on the cervical cancer and breast cancer screening cohort in Shuangliu District, Chengdu from 2015 to 2021, we collected ultrasound and questionnaire results. Progression was defined as changing from BI-RADS category 1 or 2 to 3 or above, or from the initial screening result of BI-RADS 3 or above to a higher category in subsequent ultrasound screenings. The Cox proportional hazards regression model was used to explore potential influencing factors for BI-RADS classification progression. A restricted cubic spline was used to explore the nonlinear association between the variables and the risk of progression. Results: A total of 7069 participants were included in the analysis and followed up for 23580 person-years. Compared with other age groups, the proportion of participants of BI-RADS category 3 and above was highest in the 40-44 age group (24.83%). Cox regression analysis showed that postmenopausal women had a lower risk of BI-RADS progression than premenopausal women did (hazard ratio [HR]: 0.65, 95% confidence interval [CI]: 0.44-0.97). In postmenopausal women, late menopause (HR=1.16, 95% CI: 1.03-1.30) was identified as a risk factor for BI-RADS progression. Obesity in premenopausal women was negatively associated with the risk of progression (HR=0.43, 95% CI: 0.21-0.88). Conclusion: The risk factors for progression in ultrasound BI-RADS categories overlap with the risk factors for breast cancer. A risk score based on the high-risk factors for BI-RADS progression can be constructed to optimize screening programs for high-risk populations and improve the efficiency of breast cancer screening.

Indexed as

Breast NeoplasmsEarly Detection of CancerUltrasonography, MammaryAdultAgedCohort StudiesDisease ProgressionFemaleHumansMiddle AgedProportional Hazards ModelsRisk FactorsBI-RADS ultrasound categoriesBreast cancer screeningCohort study

Identifiers

PMID39990847
PMCPMC11839354

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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.