Evidence map›Paper›PMID 37422280›Full record

ArticleJournal of advanced research2024

Temporal trends of breast cancer burden in the Western Pacific Region from 1990 to 2044: Implications from the Global Burden of Disease Study 2019.

Bing Wu, Ye Li, Baoguo Shi, Xiyu Zhang, Yongqiang Lai, Fuqiang Cui, Xiaodan Bai, Wenjing Xiang, Guihong Geng, Bei Liu and 7 more

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Article in Journal of advanced research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 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

59 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trends in Female Breast Cancer Incidence among Japanese, Korean, and US Populations: An Age-Period-Cohort Analysis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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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

17 authors.

Bing WuResearch Center of Health Policy and Management, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China.
Ye LiResearch Center of Health Policy and Management, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China. Electronic address: liye8459@163.com.
Baoguo ShiDepartment of Economics, School of Economics, Minzu University of China, Beijing, China. Electronic address: bgshi2008@hotmail.com.
Xiyu ZhangResearch Center of Health Policy and Management, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China; Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China.
Yongqiang LaiResearch Center of Health Policy and Management, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China.
Fuqiang CuiDepartment of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China.
Xiaodan BaiDepartment of Economics, School of Economics, Minzu University of China, Beijing, China.
Wenjing XiangDepartment of Economics, School of Economics, Minzu University of China, Beijing, China.
Guihong GengDepartment of Economics, School of Economics, Minzu University of China, Beijing, China.
Bei LiuDepartment of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China.
Mingli JiaoResearch Center of Health Policy and Management, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China.
Qunhong WuDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China.
Huiying YangThe Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Chenxi ZhangResearch Center of Health Policy and Management, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China.
Xinwei LiuResearch Center of Health Policy and Management, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China.
Yulu TianResearch Center of Health Policy and Management, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China.
Hongyu LiResearch Center of Health Policy and Management, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBreast cancer (BC) is a malignant disease that occurs worldwide and poses serious health burden.

objectivesTo assess the prevalence of BC burden in the Western Pacific region (WPR) from 1990 to 2019, and to predict trends from 2020 to 2044. To analyze the driving factors and put forward the region-oriented improvement.

methodsBased on the Global Burden of Disease Study 2019, BC cases, deaths, disability-adjusted life years (DALYs) cases, age-standardized incidence rate (ASIR), age-standardized death rate (ASDR), and age-standardized DALYs rate in WPR from 1990 to 2019 was obtained and analysed. Age-period-cohort (APC) model was used to analyze age, period, and cohort effects in BC, and Bayesian APC (BAPC) was used to predict trends over the next 25 years.

resultsIn conclusion, BC incidence and deaths in the WPR have increased rapidly over the past 30 years and are expected to continue to increase between 2020 and 2044. Among behavioral and metabolic factors, high body-mass index was the main risk factor for BC mortality in middle-income countries, whereas alcohol use was the main risk factor in Japan. Age is a key factor in the development of BC, with 40 years being the critical point. Incidence trends coincide with the course of economic development.

conclusionsThe BC burden remains an essential public health issue in the WPR and will increase substantially in the future. More efforts should be made in middle-income countries to prompt the health behavior and minimize the burden of BC because these nations accounts for the majority of BC burden in the WPR.

Indexed as

Breast NeoplasmsGlobal Burden of DiseaseAdultAgedAged, 80 and overBayes TheoremDisability-Adjusted Life YearsFemaleHumansIncidenceMiddle AgedPrevalenceQuality-Adjusted Life YearsRisk FactorsAge-period-cohortBreast cancerGlobal burden of diseaseWestern Pacific Region

Identifiers

PMID37422280
PMCPMC11082062

What OpenQuestion holds

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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.