Evidence map›Paper›PMID 33660417›Full record

ArticleCancer communications (London, England)2021

Predictions of mortality related to four major cancers in China, 2020 to 2030.

Ning Li, Peng Wu, Yubing Shen, Cuihong Yang, Luwen Zhang, Yali Chen, Zixing Wang, Jingmei Jiang

Open access · goldAbstract read
In one paragraph

Article in Cancer communications (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 6% of its field
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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Ning LiDepartment of Epidemiology and Biostatistics, Institute of Basic Medicine Sciences, Chinese Academy of Medical Sciences/School of Basic Medicine, Peking Union Medical College, Beijing, 100005, P. R. China.ORCID 0000-0002-2688-4866
Peng WuDepartment of Epidemiology and Biostatistics, Institute of Basic Medicine Sciences, Chinese Academy of Medical Sciences/School of Basic Medicine, Peking Union Medical College, Beijing, 100005, P. R. China.
Yubing ShenDepartment of Epidemiology and Biostatistics, Institute of Basic Medicine Sciences, Chinese Academy of Medical Sciences/School of Basic Medicine, Peking Union Medical College, Beijing, 100005, P. R. China.
Cuihong YangDepartment of Epidemiology and Biostatistics, Institute of Basic Medicine Sciences, Chinese Academy of Medical Sciences/School of Basic Medicine, Peking Union Medical College, Beijing, 100005, P. R. China.
Luwen ZhangDepartment of Epidemiology and Biostatistics, Institute of Basic Medicine Sciences, Chinese Academy of Medical Sciences/School of Basic Medicine, Peking Union Medical College, Beijing, 100005, P. R. China.
Yali ChenDepartment of Epidemiology and Biostatistics, Institute of Basic Medicine Sciences, Chinese Academy of Medical Sciences/School of Basic Medicine, Peking Union Medical College, Beijing, 100005, P. R. China.
Zixing WangDepartment of Epidemiology and Biostatistics, Institute of Basic Medicine Sciences, Chinese Academy of Medical Sciences/School of Basic Medicine, Peking Union Medical College, Beijing, 100005, P. R. China.
Jingmei JiangDepartment of Epidemiology and Biostatistics, Institute of Basic Medicine Sciences, Chinese Academy of Medical Sciences/School of Basic Medicine, Peking Union Medical College, Beijing, 100005, P. R. China.ORCID 0000-0002-7787-7607
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences 2017-I2M-1-009Peking Union Medical College Innovation Fund for Graduate Students 2018-1002-01-21
6 · The paper itself

Abstract

backgroundCancer has become a global health problem, and assessments of cancer mortality are important for effective public health policy-making and adequate resource allocation. In this study, we aimed to predict the mortality rates and numbers of deaths related to four common cancers (lung, liver, stomach, and esophagus) in China from 2020 to 2030 and to estimate the corresponding cancer burden caused by population aging and tobacco smoking.

methodsCancer mortality data (2004-2017) were extracted from China's death surveillance datasets, and China's population figures (2020-2030) were obtained from the United Nations population projections. Smoking prevalence data were retrieved from a World Health Organization global report, and relative risks of smoking and cancers were derived from large-scale Asian studies. We predicted the deaths related to the four major cancers and age-standardized mortality rates using joinpoint regression and linear regression models. The tobacco smoking-related burden of these four major cancers was estimated using the population attributable fraction.

resultsUnlike lung cancer mortality which was predicted to continue to increase, the age-standardized mortality rates for digestive cancers (liver, stomach, and esophageal cancers) are predicted to decline over the next decade. The number of deaths caused by the four major cancers is predicted to increase from 1,490,304 in 2020 to 1,823,960 in 2030. The age-specific mortality rates of the four major cancers are predicted to increase with age after 40-45 years, peaking in the age groups of 80-84 and ≥85 years. In 2030, the combined number of deaths from the four examined cancers among adults aged ≥65 years is predicted to be 1,167,153, accounting for 64% of all deaths from these cancers. Tobacco smoking is predicted to contribute to nearly 29% of deaths from these cancers, corresponding to 527,577 deaths.

conclusionsThe overall trend in the combined total mortality from four major cancers is predicted to decline over the next decade; however, the corresponding death toll is expected to surge, in the context of China's population aging and high smoking prevalence. These estimates provide data-driven evidence for China to implement effective cancer control measures in the future.

Indexed as

Esophageal NeoplasmsLung NeoplasmsAdultAged, 80 and overChinaHumansMiddle AgedSmokingcancer mortalityChinaesophageal cancerliver cancerlung cancerpopulation agingpredictionsmokingstomach cancer

Identifiers

PMID33660417
PMCPMC8118592
OpenAlexW3135032275

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.