Evidence map›Paper›PMID 39930395›Full record

ArticleBMC cancer2025

Global burden of colorectal cancer attributable to metabolic risks from 1990 to 2021, with predictions to 2046.

Xiaoyue Zhang, Ziqing Xu, Lin Shang, Qian Yang, Hua Ye, Haiyan Liu, Yuanlin Zou, Yin Lu, Zhong Zheng, Meng Li and 2 more

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Observational
  2. Review
  3. Are Colon Polyp Characteristics Really Different Between Men and Women?JGH open : an open access journal of gastroenterology and hepatology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. 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

12 authors.

Xiaoyue ZhangDepartment of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450052, China.
Ziqing XuCollege of Public Health, Zhengzhou University, Zhengzhou, Henan Province, 450001, China.
Lin ShangDepartment of Science and Technology of Henan Province, Zhengzhou, Henan Province, 450008, China.
Qian YangPrenatal Diagnosis Center, The Third Affiliated Hospital of Zhengzhou University/Maternal and Child Health Hospital of Henan Province, Zhengzhou, Henan Province, 450052, China.
Hua YeCollege of Public Health, Zhengzhou University, Zhengzhou, Henan Province, 450001, China.
Haiyan LiuCollege of Public Health, Zhengzhou University, Zhengzhou, Henan Province, 450001, China.
Yuanlin ZouCollege of Public Health, Zhengzhou University, Zhengzhou, Henan Province, 450001, China.
Yin LuCollege of Public Health, Zhengzhou University, Zhengzhou, Henan Province, 450001, China.
Zhong ZhengCollege of Public Health, Zhengzhou University, Zhengzhou, Henan Province, 450001, China.
Meng LiCollege of Public Health, Zhengzhou University, Zhengzhou, Henan Province, 450001, China.
Peng WangCollege of Public Health, Zhengzhou University, Zhengzhou, Henan Province, 450001, China. wangpeng1658@hotmail.com.
Jicun ZhuDepartment of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450052, China. jicunzhu1101@163.com.

Funding

the Medical Science and Technology Research Project of Henan Province LHGJ20240257the Project of Tackling Key Problems in Science and Technology of Henan Province 242102311140
6 · The paper itself

Abstract

backgroundMetabolic risks are significant factors associated with colorectal cancer. This study aimed to assess global, regional and national burden for CRC attributable to metabolic risks from 1990 to 2021 and to predict mortality by 2046.

methodsData from the Global Burden of Disease Study 2021 were used to quantify deaths, disability-adjusted life years (DALYs), and age-standardized rates of CRC due to metabolic risk factors, disaggregated by sex, age, region, country/territory, and sociodemographic index (SDI). The average annual percentage change (AAPC) was used to analyze temporal trends from 1990 to 2021. Metabolic risks include high fasting plasma glucose (FPG) and high body mass index (BMI). Future mortality trends up to 2046 were forecast using age-period-cohort models.

resultsGlobally, CRC deaths attributable to metabolic risks increased 2.47-fold, rising from 73,443 in 1990 to 181,689 in 2021. The global age-standardized mortality rates (ASMRs) and age-standardized rates of DALYs (ASDRs) of CRC attributable to high FPG and ASDRs attributable to high BMI increased from 1990 to 2021. The ASMRs and ASDRs of males was higher than that of females, with increasing trends. Central Europe had the highest ASMRs and ASDRs of CRC attributable to metabolic risks in 2021. Most regions and countries showed increasing trends in ASMR and ASDR for CRC due to metabolic risks, with Andean Latin America, Southeast Asia, and Cabo Verde increasing the most. High-SDI regions had the largest burden of CRC attributable to metabolic risks, while burden of other SDI regions have been significantly increased. A positive association was observed between SDI and age-standardized rates (ASMR: R

conclusionColorectal cancer deaths and DALYs attributable to metabolic risk factors remain high, particularly in males and high-SDI regions. Further researches into the metabolic mechanisms of CRC and effective treatment strategies are needed.

Indexed as

Colorectal NeoplasmsGlobal Burden of DiseaseAdultAgedAged, 80 and overBlood GlucoseBody Mass IndexDisability-Adjusted Life YearsFemaleGlobal HealthHumansMaleMiddle AgedRisk FactorsBlood GlucoseAAPCBMIBurdenColorectal cancerFasting plasma glucosePrediction

Identifiers

PMID39930395
PMCPMC11809015

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.