Evidence mapPaperPMID 42245694Full record

ArticleFrontiers in oncology2026

Trends in breast cancer mortality and analysis of years of life lost among Chinese residents, 2013-2021.

Fulei Han, Yue Zhang, Shenghua Wang, Minjun Shen, Xiao Niu

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. 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

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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

5 authors.

Fulei Han *Qingdao Maternal & Child Health and Family Planning Service Center, Qingdao, China.
Yue Zhang *Qingdao Maternal & Child Health and Family Planning Service Center, Qingdao, China.
Shenghua WangQingdao Maternal & Child Health and Family Planning Service Center, Qingdao, China.
Minjun ShenQingdao Maternal & Child Health and Family Planning Service Center, Qingdao, China.
Xiao NiuShandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aims to analyze breast cancer mortality trends and quantify the burden of premature death among Chinese residents from 2013 to 2021 to inform national prevention strategies and resource allocation. Methods: Data were obtained from the Chinese Cause of Death Monitoring Dataset. Joinpoint regression models were employed to calculate the Annual Percentage Change (APC) and Average Annual Percentage Change (AAPC) to characterize temporal trends. Furthermore, the study utilized Potential Years of Life Lost (PYLL), Average Years of Life Lost (AYLL), and the Value of Years of Life Lost (VYLL) to evaluate the impact of premature mortality on public health and the economy. Results: From 2013 to 2021, the national age-standardized mortality rate initially rose and then declined, resulting in no statistically significant net change over the study period (AAPC = -0.03, 95% Conclusions: While national breast cancer mortality rates have stabilized, the burden is shifting toward rural regions. The persistence of high premature mortality in resource-limited areas highlights an urgent need for equitable resource allocation and targeted early screening programs to address these widening regional health disparities.

Indexed as

AYLLbreast cancermortality ratePYLLVYLL

Identifiers

PMID42245694
PMCPMC13230196

What Socratic holds

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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 Socratic graph.