Evidence map›Paper›PMID 40078186›Full record

ArticleFrontiers in oncology2025

Global, Regional, and National Disease Burden and Prediction Analysis of Colorectal Cancer Attributable to Tobacco, Alcohol, and Obesity From 1990 to 2030.

Yuqi Deng, Yajie Wang, Jinsai Yang, Xinyu Luo, Jieya Qiu, Rou Long, Chaohui Zhang, Jiale Li, Guiyang Tang, Lili Chen and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

11 authors.

Yuqi DengDepartment of Health, Inspection and Quarantine, School of Public Health, University of South China, Hengyang, China.
Yajie WangDepartment of Health, Inspection and Quarantine, School of Public Health, University of South China, Hengyang, China.
Jinsai YangComputer Institute, Hengyang Medical School, University of South China, Hunan, Hengyang, China.
Xinyu LuoThe Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Jieya QiuTransformation Research Lab, Hengyang Medical School, University of South China, Hunan, Hengyang, China.
Rou LongTransformation Research Lab, Hengyang Medical School, University of South China, Hunan, Hengyang, China.
Chaohui ZhangThe Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Jiale LiComputer Institute, Hengyang Medical School, University of South China, Hunan, Hengyang, China.
Guiyang TangTransformation Research Lab, Hengyang Medical School, University of South China, Hunan, Hengyang, China.
Lili ChenDepartment of Health, Inspection and Quarantine, School of Public Health, University of South China, Hengyang, China.
Jianhong ZuoDepartment of Health, Inspection and Quarantine, School of Public Health, University of South China, Hengyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Colorectal cancer (CRC) ranks among the highest in incidence and mortality rates globally. A significant portion of Colorectal cancer cases and deaths can be attributed to modifiable risk factors, with smoking, alcohol use, and high body mass index (BMI) being the three most prominent. However, the impact of these risk factors on Colorectal cancer across regions, genders, and age groups remains insufficiently characterized. Methods: Utilizing data from the Global Burden of Disease (GBD) study 2019, restrictive cubic splines (RCS) and quantile regression analyses are applied to explore the relationship between the Socio-Demographic Index (SDI) and ASMR or ASDR. Additionally, gender differences, changes across different SDI levels, and age group trends in smoking, alcohol use, and high BMI over the 30-year period are analyzed. The Bayesian age-period-cohort (BAPC) model is employed to predict mortality trends from 2020 to 2030, aiming to explore the epidemiological and sociodemographic transitions in the Colorectal cancer disease burden attributed to smoking, alcohol use, and high BMI. Results: In 2019, the number of colorectal cancer deaths globally attributable to risk factors as smoking, alcohol consumption, and obesity increased to 142,931, 52,495, and 85,882 cases respectively, collectively accounting for approximately one-third of all Colorectal cancer-related deaths. Notably, there is an upward trend in early-onset Colorectal cancer mortality associated with these factors. Discussion: To reduce the burden of Colorectal cancer, it is recommended to enhance health education, promote smoking cessation and alcohol moderation, and increase the coverage and participation in Colorectal cancer screening, which are crucial for lowering Colorectal cancer mortality rates. These findings are vital for the development of public health policies and intervention measures to reduce the global disease burden. They provide guidance for Colorectal cancer prevention across different regions, genders, and age groups worldwide.

Indexed as

alcohol useburden of diseasecolorectal cancerhigh body mass index (high BMI)smoking

Identifiers

PMID40078186
PMCPMC11896864

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.