Evidence map›Paper›PMID 42299795›Full record

ArticleGlobal health, epidemiology and genomics2026

The Global Burden and Trends of Premenopausal Breast Cancer by Modifiable Lifestyle Factors From 1990 to 2021 With Prediction Until 2039.

Baokun Cao, Zhiqiang Xie, Yazhen Chen, Yanting Zhang, Yuxiang Lin, Yan Wang, Haomin Yang

Abstract read
In one paragraph

Article in Global health, epidemiology and genomics, 2026. 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

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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

7 authors.

Baokun CaoDepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, China, fjmu.edu.cn.
Zhiqiang XieDepartment of Clinical Laboratory, Fujian Medical University Union Hospital, Fuzhou, China, fjmu.edu.cn.
Yazhen ChenDepartment of Breast Surgery, Zhangzhou Affiliated Hospital of Fujian Medical University, 363000, Zhangzhou, Fujian, China, zzfh.com.
Yanting ZhangDepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, China, fjmu.edu.cn.
Yuxiang LinDepartment of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China, fjmu.edu.cn.
Yan WangFujian Key Laboratory of Developmental and Neural Biology, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian, 350117, China, fjnu.edu.cn.ORCID https://orcid.org/0000-0002-1333-6326
Haomin YangDepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, China, fjmu.edu.cn.ORCID https://orcid.org/0000-0002-2252-2606

Funding

Fujian Medical University ZLJH2026001
6 · The paper itself

Abstract

backgroundAlthough breast cancer incidence has continued to rise worldwide, the disease burden of premenopausal breast cancer remains unclear, particularly given that attributable risk factors may vary across age groups and socioeconomic contexts.

methodsRegional data on premenopausal breast cancer burden and related risk factors were derived from the updated Global Burden of Disease dataset for 1990-2021, with joinpoint regression applied to characterize time-dependent changes in disease burden by attributable factor. Disease burden up to 2039 was forecasted using a Bayesian age-period-cohort model, with further comparisons of risk-specific attributable burden.

resultsCountries with a high sociodemographic index (SDI) ranked highest for premenopausal breast cancer incidence (51.5 per 100,000 population), whereas countries with medium-low SDI showed the highest mortality and disability-adjusted life year (DALY) (7.0 per 100,000 population and 359.2 per 100,000 population, respectively). Disease burden has shown an upward trend in recent years, apart from high SDI areas, while this increase is expected to persist through 2039. Among the attributable risk factors assessed in the GBD framework, diet high in red meat accounted for the greatest share of attributable burden (11.2%), and the mortality and DALY attributed to red meat have both increased, with the largest increase occurring in low-middle SDI countries.

conclusionsThe global burden of premenopausal breast cancer is increasing, with diet high in red meat contributing the greatest proportion of attributable burden among the assessed risk factors. Differences in major attributable risk factors across countries with different SDI levels highlight the need for tailored interventions to reduce the increasing burden of premenopausal breast cancer.

Indexed as

Breast NeoplasmsGlobal Burden of DiseaseLife StylePremenopauseAdultBayes TheoremDisability-Adjusted Life YearsFemaleGlobal HealthHumansIncidenceMiddle AgedRisk Factorsburden of diseasepredictionspremenopausal breast cancerrisk factorstrends

Identifiers

PMID42299795
PMCPMC13270342

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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.