Evidence map›Paper›PMID 40900439›Full record

ArticleInternational journal of cancer2026

Over one-third of cancer cases and two-fifths of cancer deaths in southern China are preventable: Insights from the latest representative population-based cancer registry data and risk factor survey.

Xiaolan Wen, Yu Liao, Jiayue Li, Qian Zhu, Xinmei Lin, Bingfeng Han, Li Li, Ru Chen, Ruilin Meng, Ni Xiao and 8 more

Abstract read
In one paragraph

Article in International journal of cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

18 authors.

Xiaolan WenNational Central Cancer Registry Office, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yu LiaoGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Jiayue LiNational Central Cancer Registry Office, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Qian ZhuNational Central Cancer Registry Office, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xinmei LinNational Central Cancer Registry Office, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Bingfeng HanNational Central Cancer Registry Office, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Li LiNational Central Cancer Registry Office, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ru ChenNational Central Cancer Registry Office, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ruilin MengGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Ni XiaoGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Xueyan ZhengGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Xiaojun XuGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Dejian ZhaoGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Yue GaoGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Liming PuGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Ye WangGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Wenqiang WeiNational Central Cancer Registry Office, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0003-2078-9056
Shaoming WangNational Central Cancer Registry Office, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0003-0420-2833

Funding

CAMS Innovation Fund for Medical Sciences 2021-I2M-1-023Capital's Funds for Health Improvement and Research 2024-2G-40213Guangdong Provincial Medical Science and Technology Research Fund B2024104Talent Incentive Program of Cancer Hospital, CAMS (Hope Star)Talent support project established by Guangdong Provincial Center for Disease Control and Prevention 2023D010
6 · The paper itself

Abstract

Assessing the impact of modifiable risk factors on cancer is crucial for prioritizing effective prevention interventions. This study aimed to quantify the cancer burden attributable to modifiable risk factors in Guangdong in 2019, thereby informing targeted prevention strategies tailored to the region. The population attributable fraction (PAF) was estimated by Levin's method, based on the 2010 prevalence of 15 risk factors and the latest representative relative risks. PAFs for specific age groups, sexes, risk factors, and cancer types were then combined to obtain overall PAF. Attributable cancer cases were calculated using cancer burden data in 2019 and PAF estimate. 34.4% of incident cancer and 44.5% of cancer deaths in Guangdong were attributable to 15 potentially modifiable risk factors, with higher PAF among males (44.3% for incidence and 52.0% for mortality) than females (22.9% for incidence cancer and 29.9% for mortality). Ten of the twenty-two cancers exhibited an attributable fraction exceeding 50%, with five cancers exceeding 70%, including cancers of cervix uteri, nasopharynx, oral cavity and pharynx, liver and larynx. Behavioral factors contributed the most to incident cancer burden, followed by infectious, dietary, and metabolic factors. Nearly one-third of incident cancer and two-fifths of cancer deaths in Guangdong were preventable through addressing modifiable risk factors. The findings emphasize the critical need for targeted prevention strategies, particularly focusing on smoking, alcohol consumption, and infection control, to significantly reduce cancer burden. This study underscores the importance of integrating risk factor mitigation into public health policies to advance cancer prevention efforts in the region.

Indexed as

NeoplasmsAdolescentAdultAgedAged, 80 and overChildChild, PreschoolChinaFemaleHumansIncidenceInfantInfant, NewbornMaleMiddle AgedRegistriescancerGuangdong, Chinapopulation attributable fraction (PAF)risk factor

Identifiers

PMID40900439
PMCPMC12712366

What OpenQuestion holds

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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.