Evidence map›Paper›PMID 36877566›Full record

ArticleJMIR public health and surveillance2023

Projection of Premature Cancer Mortality in Hunan, China, Through 2030: Modeling Study.

Wenqiong Wu, Jing Wang, Xian-Zhen Liao, Kekui Xu, Yanhua Zou, Zhaohui Shi, Yingyun Hu, Haifan Xiao, Can Li, Shiyu Cao and 9 more

Full text read
In one paragraph

Article in JMIR public health and surveillance, 2023. 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

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

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

19 authors.

Wenqiong Wu *Department of Radiotherapy, Hunan Cancer Hospital, Changsha, China.ORCID 0000-0002-1578-9281
Jing Wang *Chengdu Center for Disease Control and Prevention, Chengdu, China.ORCID 0000-0002-4517-0594
Xian-Zhen LiaoDepartment of Cancer Prevention and Control, Hunan Cancer Hospital, Changsha, China.ORCID 0000-0002-6636-8647
Kekui XuDepartment of Cancer Prevention and Control, Hunan Cancer Hospital, Changsha, China.ORCID 0000-0002-2824-9460
Yanhua ZouDepartment of Cancer Prevention and Control, Hunan Cancer Hospital, Changsha, China.ORCID 0000-0002-1722-0742
Zhaohui ShiDepartment of Cancer Prevention and Control, Hunan Cancer Hospital, Changsha, China.ORCID 0000-0002-6204-6421
Yingyun HuDepartment of Cancer Prevention and Control, Hunan Cancer Hospital, Changsha, China.ORCID 0000-0002-2751-4250
Haifan XiaoDepartment of Cancer Prevention and Control, Hunan Cancer Hospital, Changsha, China.ORCID 0000-0002-3738-7224
Can LiDepartment of Cancer Prevention and Control, Hunan Cancer Hospital, Changsha, China.ORCID 0000-0002-5974-494X
Shiyu CaoDepartment of Cancer Prevention and Control, Hunan Cancer Hospital, Changsha, China.ORCID 0000-0002-8714-2559
Shiyu WangDepartment of Cancer Prevention and Control, Hunan Cancer Hospital, Changsha, China.ORCID 0000-0002-2171-3427
Jia GuoDepartment of Cancer Prevention and Control, Hunan Cancer Hospital, Changsha, China.ORCID 0000-0002-8935-1231
Zhicheng LuoDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-8182-0523
Mengjiao LiuDepartment of Cancer Prevention and Control, Hunan Cancer Hospital, Changsha, China.ORCID 0000-0002-8689-4599
Mengyao XuDepartment of Cancer Prevention and Control, Hunan Cancer Hospital, Changsha, China.ORCID 0000-0002-7417-3241
Donghui JinHunan Provincial Center for Disease Control and Prevention, Changsha, China.ORCID 0000-0003-3391-3124
Mengshi ChenDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-9100-0967
Zhongxi Fu *Hunan Provincial Center for Disease Control and Prevention, Changsha, China.ORCID 0000-0002-4965-908X
Shipeng Yan *Department of Cancer Prevention and Control, Hunan Cancer Hospital, Changsha, China.ORCID 0000-0002-0075-8941

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe United Nations Sustainable Development Goals for 2030 include reducing premature mortality from noncommunicable diseases by one-third. Although previous modeling studies have predicted premature mortality from noncommunicable diseases, the predictions for cancer and its subcategories are less well understood in China.

objectiveThe aim of this study was to project premature cancer mortality of 10 leading cancers in Hunan Province, China, based on various scenarios of risk factor control so as to establish the priority for future interventions.

methodsWe used data collected between 2009 and 2017 from the Hunan cancer registry annual report as empirical data for projections. The population-attributable fraction was used to disaggregate cancer deaths into parts attributable and unattributable to 10 risk factors: smoking, alcohol use, high BMI, diabetes, physical inactivity, low vegetable and fruit intake, high red meat intake, high salt intake, and high ambient fine particulate matter (PM2.5) levels. The unattributable deaths and the risk factors in the baseline scenario were projected using the proportional change model, assuming constant annual change rates through 2030. The comparative risk assessment theory was used in simulated scenarios to reflect how premature mortality would be affected if the targets for risk factor control were achieved by 2030.

resultsThe cancer burden in Hunan significantly increased during 2009-2017. If current trends for each risk factor continued to 2030, the total premature deaths from cancers in 2030 would increase to 97,787 in Hunan Province, and the premature mortality (9.74%) would be 44.47% higher than that in 2013 (6.74%). In the combined scenario where all risk factor control targets were achieved, 14.41% of premature cancer mortality among those aged 30-70 years would be avoided compared with the business-as-usual scenario in 2030. Reductions in the prevalence of diabetes, high BMI, ambient PM2.5 levels, and insufficient fruit intake played relatively important roles in decreasing cancer premature mortality. However, the one-third reduction goal would not be achieved for most cancers except gastric cancer.

conclusionsExisting targets on cancer-related risk factors may have important roles in cancer prevention and control. However, they are not sufficient to achieve the one-third reduction goal in premature cancer mortality in Hunan Province. More aggressive risk control targets should be adopted based on local conditions.

Indexed as

NeoplasmsNoncommunicable DiseasesChinaHumansMortality, PrematureRisk Factorscancerforecastingpremature mortalityrisk factorsSustainable Development Goals

Identifiers

PMID36877566
PMCPMC10028508

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read83
Read underepoch 390

Registered trials

None linked

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.