Evidence map›Paper›PMID 40301980›Full record

ArticleJournal of translational medicine2025

Modifiable factors affects cancer-specific survival: findings from a large population-based prospective cohort study.

Xiong Chen, Dongxi Zhu, Chenchen Li, Yi Lin, Lin Lv, Feiling Ai, Zhijian Chen, Runnan Shen, Xuwen Shen, Guochang You and 3 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

13 authors.

Xiong Chen *Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, PR China.
Dongxi Zhu *Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, PR China.
Chenchen Li *Department of Medical Oncology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, PR China.
Yi Lin *Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, PR China.
Lin LvSchool of Medicine, Sun Yat-sen University, Guangzhou, PR China.
Feiling AiFaculty of Medicine, Ludwig Maximilian University of Munich, Munich, Germany.
Zhijian ChenDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, PR China.
Runnan ShenDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, PR China.
Xuwen ShenSchool of Medicine, Sun Yat-sen University, Guangzhou, PR China.
Guochang YouSchool of Medicine, Sun Yat-sen University, Guangzhou, PR China.
Zhige JiangSchool of Medicine, Sun Yat-sen University, Guangzhou, PR China.
Wenlong ZhongDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, PR China. zhongwlong3@mail.sysu.edu.cn.
Tianxin LinDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, PR China. lintx@mail.sysu.edu.cn.ORCID 0000-0003-3180-8697

Funding

National Natural Science Foundation of China 82202251
6 · The paper itself

Abstract

backgroundModifiable factors affect cancer's survival but literature did not differentiate prior to versus after cancer diagnosis. It is essential to provide references for the intervention prioritized at different stages.

methodsIn this prospective cohort study, we analyzed national data from the UK Biobank, including 121,399 participants, to assess the association of modifiable factors with cancer-specific survival (CSS) in two independent cohorts: a pre-cancer cohort (n = 78,027) and a post-cancer cohort (n = 43,372). Additionally, a weighted standardized score was derived to evaluate the joint effects across different domains. Interactions between the six domains and age at diagnosis, sex, and cancer site were evaluated using likelihood ratio tests. Subgroup analyses were then performed for factors showing significant effect modification. Population-attributable fractions (PAF) of different domains on 5-year cancer-specific death were calculated.

resultsOur study comprehensively presented the differential patterns of modifiable factors' impact on CSS among pre-cancer and post-cancer cohorts, sexes and different cancer sites. In the pre-cancer cohort, CSS were predominantly attributable to smoking/alcohol consumption (PAF 9·2%) and daily activity (PAF 10·6%). Men exhibited a higher risk than women for dietary habits (HR:1·25 versus 1·18), daily activity (HR:1·50 versus 1·29) and living environment (HR:1·13 versus 1·03). The impact of modifiable factors, including daily activity, smoking/alcohol consumption, and physical measures, on CSS varied across different cancer sites. In the post-cancer cohort, 18·6% of 5-year cancer-specific deaths were attributable to unfavourable mental health. In subgroup analysis, the risk of CSS in the domain of smoking/alcohol consumption was higher in men than that in women (HR: 1·58 versus 1·34). The impact of modifiable factors, including smoking/alcohol consumption, mental health and physical measures, on CSS varied across different cancer sites.

conclusionsOur findings suggested that targeted prevention and early intervention strategies should be implemented to reduce the risk of cancer-related deaths.

Indexed as

NeoplasmsAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsSurvival AnalysisUnited KingdomCancer-specific survivalModifiable factorPopulation-attributable fractions

Identifiers

PMID40301980
PMCPMC12042550

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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.