Evidence map›Paper›PMID 40102674›Full record

ArticleScientific reports2025

The global burden of breast cancer among women of reproductive age: a comprehensive analysis.

Yuzhou Cai, Fangyi Dai, Ying Ye, Jinxian Qian

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
–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

48 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Young Women Diagnosed With Breast Cancer: Why Is No One Telling Me to Get a Mammogram?Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2026
    Article
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  7. Health related quality of life of patients with breast cancer in Malaysia: evidence from EQ-5D-5L and EORTC QLQ-C30.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  8. Cardiac Modulation byCurrent issues in molecular biology · 2026
    Article
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  16. Evaluation of a National Breast Cancer Screening Program in a Middle-Income Country: The Case of Kazakhstan.International journal of environmental research and public health · 2026
    Article
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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

4 authors.

Yuzhou CaiDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Kunming Medical University, Yun nan, 650032, China.
Fangyi DaiDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Kunming Medical University, Yun nan, 650032, China.
Ying YeSchool of Basic Medical Sciences, Kunming Medical University, Yun nan, 650500, China.
Jinxian QianDepartment of Breast Surgery, The First Affiliated Hospital of Kunming Medical University, Yun nan, 650032, China. qianjx2000@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the most prevalent malignant disease among women and affects women of reproductive age (15-49 years) across the globe. This study examines patterns and trends in the epidemiology of breast cancer in women of reproductive age using global burden of disease data (1990-2021), with the objective of informing targeted public health strategies. Using data from the Global Burden of Disease Study (GBD 2021), this study analyzed the temporal trends, regional disparities, and health inequalities in the burden of breast cancer among women of reproductive age across 204 countries and territories from 1990 to 2021. The analysis employed methodologies including the age-period-cohort (APC) model, decomposition analysis, the slope index of inequality (SII), and the concentration index (CIX). Additionally, the Bayesian age-period-cohort (BAPC) predictive model was utilized to forecast the global burden of breast cancer among women of reproductive age from 2022 to 2040. From 1990 to 2021, the global burden of breast cancer among women of reproductive age showed a significant upward trend, with increases of 118.7%, 121.3%, and 66.8% in the number of new cases, prevalence, and disability-adjusted life years (DALYs) lost, respectively. The most pronounced increases were observed in regions with low and low-middle sociodemographic index (SDI). APC analysis revealed that the rising incidence and prevalence rates were driven by age and period effects, while the risk of breast cancer declined among more recent birth cohorts. Decomposition analysis indicated that population aging and growth were the primary contributors to the global rise in breast cancer burden. SII and CIX analyses demonstrated that absolute health inequalities in breast cancer burden intensified during this period, while relative inequalities showed a slight decline. According to the BAPC predictive model, by 2040, the number of new breast cancer cases among women of reproductive age is expected to increase by 47.8% compared to 2022, accompanied by continued rises in age-standardized incidence, prevalence, and mortality rates. Between 1990 and 2021, the global burden of breast cancer among women of reproductive age increased significantly, with notable health inequalities across regions and populations. By 2040, new cases are projected to rise by 47.8% from 2022, underscoring an urgent global challenge in breast cancer prevention and control.

Indexed as

Breast NeoplasmsGlobal Burden of DiseaseAdolescentAdultBayes TheoremDisability-Adjusted Life YearsFemaleGlobal HealthHumansMiddle AgedPrevalenceYoung AdultBreast cancerGlobal burden of diseaseHealth inequalitiesProjectionsTime trendsWomen of reproductive age

Identifiers

PMID40102674
PMCPMC11920069

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LicenceCC BY-NC-ND
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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.