Evidence map›Paper›PMID 41870348›Full record

ArticleCancer biology & medicine2026

Lung cancer mortality trends in China from 2013 to 2021 and projections to 2030.

Xin Liang, Xiang Li, Yifei Yao, Xiaoqiu Dai

Abstract read
In one paragraph

Article in Cancer biology & medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

4 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.
Xiang Li *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.
Yifei YaoOffice 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.
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 was aimed at analyzing temporal trends in lung cancer mortality from 2013 to 2021, and projecting future trends until 2030.

methodsMortality data were extracted from the China Causes of Death Surveillance Dataset, which covers 2.37 billion person-years. Age-standardized mortality rates (ASMRs) were calculated with Segi's world standard population. Joinpoint regression was used to analyze temporal trends, and linear regression was applied to assess changes in mean age at death. A Bayesian age-period-cohort model was used to project mortality trends through 2030. Contributions of risk factors and demographic changes (population size and age structure) to mortality trends were decomposed with the population split method.

resultsFrom 2013 to 2021, the crude lung cancer mortality rate increased by 2.3% annually, whereas the ASMR remained stable overall but showed significant 2.9% annual declines during 2015 and 2021. The ASMRs in urban areas (-2.9% per year) and eastern regions (-1.5% per year) showed significant decreasing trends throughout the entire period. The mean age at death increased across all areas, and the largest increases were observed in rural areas. Deaths among people ≥65 years of age rose by 1.6%-5.6% during the entire period. Decomposition analysis indicated that the increased death counts were driven primarily by population aging (32%-43%) and population growth (8%-31%), whereas risk factors contributed negatively (-3% to -29%). Projections suggested that the number of lung cancer deaths will reach approximately 760,200 by 2030, with continued increases in the crude mortality rate but slight declines in the ASMR.

conclusionsThe lung cancer burden in China shows marked regional disparities and challenges due to population aging. To further decrease lung cancer deaths, optimized allocation of medical resources, strengthened prevention and control of lung cancer risk factors, and integration of effective policies will be required.

Indexed as

Lung NeoplasmsMortalityAdolescentAdultAgedAged, 80 and overBayes TheoremChinaFemaleHumansInfantMaleMiddle AgedRisk FactorsRural PopulationYoung Adult2030ChinaLung cancermortalitytrends

Identifiers

PMID41870348
PMCPMC13449714

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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.