Evidence map›Paper›PMID 40739951›Full record

ArticleCancer biology & medicine2025

Cancer mortality trends in China from 2013-2021 and projections to 2030.

Xin Liang, Yifei Yao, Xiang Li, Ting Gao, Xiaoqiu Dai

Abstract read
In one paragraph

Article in Cancer biology & medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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.

Xin Liang *Medical Statistics Office, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Yifei Yao *Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Xiang LiOffice for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Ting GaoDisease and Infection Control Office, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Xiaoqiu DaiEditorial Office of Chinese Journal of Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.ORCID 0000-0001-5867-417X

Funding

CAMS Innovation Fund for Medical Sciences 2021-I2M-1-011Capital's Funds for Health Improvement and Research CFH2024-2G-40214
6 · The paper itself

Abstract

objectiveThis study aimed to analyze the temporal trends in cancer mortality in China from 2013-2021 and project the future trends through 2030.

methodsThis study was based on the China Causes of Death Surveillance Dataset, which covers 2.37 billion person-years. Age-standardized mortality rates (ASMRs) were calculated using Segi's world standard population and the trends were evaluated

resultsThe combined ASMRs for all cancers decreased annually by 2.3%, driven by significant declines in esophageal (4.8%), stomach (4.5%), and liver cancers (2.7%). In contrast, the pancreatic and prostate cancer ASMRs increased by 2.0% and 3.4% annually, respectively. Urban areas demonstrated a more rapid decline in the combined ASMRs for all cancers [average annual percent change (AAPC) = -3.0% in urban areas

conclusionsThe cancer burden in China is facing the dual challenges of population aging and urban-rural disparities. It is necessary to prioritize rural screening, control risk factors, such as smoking and diet, and integrate more efficacious cancer prevention and control programmes into the policy to reduce mortality in the future.

Indexed as

NeoplasmsAdolescentAdultAgedAged, 80 and overBayes TheoremCause of DeathChildChild, PreschoolChinaFemaleHumansInfantInfant, NewbornMaleMiddle Aged2030Cancer mortalityChinaprojectionstrends

Identifiers

PMID40739951
PMCPMC12533753

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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.