Evidence map›Paper›PMID 35785526›Full record

ArticleCancer medicine2023

Changes in the disease burden of breast cancer along with attributable risk factors in China from 1990 to 2019 and its projections: An analysis of the global burden of disease study 2019.

Jie Li, Cui Chen, Jinjin Nie, Lili Wang, Zhen Zhang, Yuli Li

Abstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
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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

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

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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

6 authors.

Jie LiDongying People's Hospital, Dongying, People's Republic of China.
Cui ChenDongying People's Hospital, Dongying, People's Republic of China.
Jinjin NieDongying People's Hospital, Dongying, People's Republic of China.
Lili WangDongying Center for Disease Control and Prevention, Dongying, People's Republic of China.
Zhen ZhangDongying Center for Disease Control and Prevention, Dongying, People's Republic of China.
Yuli LiDongying People's Hospital, Dongying, People's Republic of China.ORCID 0000-0003-2966-1606

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the secular trends in breast cancer burden with attributable risk factors, and make projections over time, which would contribute to the control and prevention of breast cancer.

methodsWe extracted detailed data on breast cancer incident cases and age-standardized incidence rate (ASIR), deaths and age-standardized mortality rate (ASMR), disability-adjusted life-years (DALYs), and age-standardized DALYs rate (ASDR), as well as the attributable risk factors in China from the Global Burden of Diseases Study 2019. The estimated annual percentage change (EAPC) was calculated to quantify the changing trends. The national DALYs attributable to Socio-demographic Index (SDI) values were also presented. Projections to 2030 were estimated using the Bayesian age-period-cohort model.

resultsFrom 1990 to 2019, the number of breast cancer incident cases increased fourfold to 375,484, with deaths and DALYs over doubling to 96.306 and 2,957,454, respectively. The ASIR (EAPC = 2.84; 95% CI, 2.74-2.95) and ASMR (EAPC = 0.06; 95% CI, 0.00-0.12) increased, while the ASDR decreased with the EAPC of -0.13 (95% CI, -0.19 to -0.06) at the same period. The ASDR varied across provincial regions, which appeared to be in a wave-like upcurve with SDI values increasing. High body mass index became the first contribution to breast cancer DALYs for females in 2019, and alcohol use for males. Breast Cancer incident cases and deaths would increase to 587.7 and 125.6 thousand in 2030, of which there will be 577.1 and 122.7 thousand for females, and 10.6 and 2.9 thousand for males, respectively.

conclusionBreast cancer remains a major public health problem in China. The absolute burden has been increasing over time, and varied across sex and regions. To control the potential risk factors and develop specific strategies will help to reduce the disease burden.

Indexed as

Breast NeoplasmsBayes TheoremChinaCost of IllnessFemaleGlobal Burden of DiseaseGlobal HealthHumansMaleRisk Factorsbreast cancerdisease burdenrisk factorspatiotemporal trend

Identifiers

PMID35785526
PMCPMC9883426

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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.