Evidence map›Paper›PMID 40903768›Full record

ArticleMilitary Medical Research2025

Global patterns and trends in cancer-related premature death and their impact on life expectancy across 185 countries: a population-based analysis.

Ke-Xin Sun, Xin Liang, Qian Zhu, Hong-Liang Wu, Gong-Yi Zhang, Yi-Fei Yao, Xiang Li, Rong-Shou Zheng, Jing Zuo, Wen-Qiang Wei

Abstract read
In one paragraph

Article in Military Medical Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. 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

10 authors.

Ke-Xin Sun *National Central 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.
Xin LiangMedical 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.
Qian Zhu *National Central 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.
Hong-Liang WuDepartment of Anesthesiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Gong-Yi ZhangDepartment of Gynecologic 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.
Yi-Fei YaoNational Central 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 LiNational Central 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.
Rong-Shou ZhengNational Central 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. zhengrongshou@cicams.ac.cn.ORCID 0000-0003-4295-3398
Jing ZuoDepartment of Gynecologic 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. zuojing@cicams.ac.cn.
Wen-Qiang WeiNational Central 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe level of premature deaths (deaths among those aged 30-69 years) caused by cancer is an important indicator of evaluating the level of cancer prevention and control. However, the current burden and temporal trends in cancer-related premature deaths, and their impact on life expectancy at the global, regional, and national levels are not clear.

methodsCancer mortality data for 185 countries were obtained from the GLOBOCAN 2022 database. High-quality cancer mortality data and national population statistics for 47 countries were extracted from the United Nations and national cancer registry databases, covering the period 2003-2022. Countries were classified based on the human development index (HDI). The death probability, the year of life lost (YLL), and the potential gain in life expectancy (PGLE) attributable to premature deaths from site-specific and all-cancers combined were calculated.

resultsGlobally, the probability of premature cancer deaths was 6.49% (95% UI 6.49-6.50). The YLLs caused by cancer-related premature death were 163.86 million (95% UI 163.70-164.03), constituting 65.58% of the total cancer-related YLLs. The PGLEs were 1.16 years (95% UI 1.16-1.16). The premature death probability increased with higher HDI levels in men, but decreased in women. Cancer-related premature deaths as a proportion of total cancer deaths varied from 18.31% (95% UI 18.20-18.43) in Japan to 84.44% (95% UI 76.10-91.16) in São Tomé and Príncipe. Lung cancer was the leading cause of cancer-related premature deaths in men, and breast cancer ranked first in women. By eradicating premature deaths attributable to lung, liver, colorectal, and stomach cancer in men, and to breast, cervical, and lung cancer in women, 0.55 years (95% UI 0.55-0.55) and 0.49 years (95% UI 0.49-0.49) of PGLEs could be achieved, accounting for 48.67% and 42.24% of the total PGLEs, respectively. Cancer-related premature deaths decreased significantly in 38 countries during 2003-2022 (P < 0.05). The probability of premature cancer-related deaths decreased by more than 15.50% from 2015 to 2022 in 16 countries.

conclusionsCancer-related premature deaths declined in many countries, with 16 of them having achieved the expected reduction by 2022. The current burden of cancer-related premature deaths is profound but varies around the world. Eliminating premature deaths from major cancer types could substantially increase life expectancy, underscoring the importance of prevention and treatment efforts for these cancers.

Indexed as

Life ExpectancyMortality, PrematureNeoplasmsAdultAgedFemaleGlobal HealthHumansMaleMiddle AgedRegistriesCancerDeath probabilityPotential gain in life expectancy (PGLE)Premature deathYear of life lost (YLL)

Identifiers

PMID40903768
PMCPMC12406598

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.