Evidence map›Paper›PMID 38545767›Full record

ArticleCancer medicine2024

The death burden of colorectal cancer attributable to modifiable risk factors, trend analysis from 1990 to 2019 and future predictions.

Ning Zhu, Yan Zhang, Mi Mi, Yuwei Ding, Shanshan Weng, Jia Zheng, Yang Tian, Ying Yuan

Abstract read
In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Hypertension-cancer recurrence crosstalk: implications for survivorship care.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
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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

8 authors.

Ning ZhuKey Laboratory of Cancer Prevention and Intervention, Ministry of Education, Department of Medical Oncology, Cancer Institute, The Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China.
Yan ZhangKey Laboratory of Cancer Prevention and Intervention, Ministry of Education, Department of Medical Oncology, Cancer Institute, The Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China.
Mi MiKey Laboratory of Cancer Prevention and Intervention, Ministry of Education, Department of Medical Oncology, Cancer Institute, The Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China.
Yuwei DingKey Laboratory of Cancer Prevention and Intervention, Ministry of Education, Department of Medical Oncology, Cancer Institute, The Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China.
Shanshan WengKey Laboratory of Cancer Prevention and Intervention, Ministry of Education, Department of Medical Oncology, Cancer Institute, The Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China.
Jia ZhengDepartment of Medical Geriatrics, The Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China.
Yang TianDepartment of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China.
Ying YuanKey Laboratory of Cancer Prevention and Intervention, Ministry of Education, Department of Medical Oncology, Cancer Institute, The Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China.ORCID 0000-0002-3922-9553

Funding

Leading Innovative and Entrepreneur Team Introduction Program of Zhejiang 2019R01007National Natural Science Foundation of China 81872481National Natural Science Foundation of China 82000619the Key R&D Program of Zhejiang Province 2021C03125
6 · The paper itself

Abstract

backgroundThe death burden attributable to modifiable risk factors is key to colorectal cancer (CRC) prevention. This study aimed to assess the prevalence and regional distribution of attributable CRC death burden worldwide from 1990 to 2019.

methodsWe extracted data from the Global Burden of Disease Study in 2019 and assessed the mortality, age-standardized death rate (ASDR), population attributable fractions, and time trend in CRC attributable to risk factors by geography, socio-demographic index (SDI) quintile, age, and sex.

resultsOver the past 30 years, from high to low SDI region, the number of deaths increased by 46.56%, 103.55%, 249.64%, 231.89%, 163.11%, and the average annual percentage change (AAPC) for ASDR were -1.06%, -0.01%, 1.32%, 1.19%, and 0.65%, respectively. ASDR in males was 1.88 times than in females in 2019; ASDR in males showed an increasing trend (AAPC 0.07%), whereas ASDR in females showed a decreasing trend (AAPC -0.69%) compared to figures in 1990. In 2019, from high to low SDI region, the 15-49 age group accounted for 3%, 6%, 10%, 11%, and 15% of the total population; dietary and metabolic factors contributed 43.4% and 20.8% to CRC-attributable death worldwide. From high to low SDI region, ASDRs caused by dietary and metabolic factors increased by -23.4%, -5.5%, 25.8%, 29.1%, 13.5%, and 1.4%, 33.3%, 100.8%, 128.4%, 77.7% respectively, compared to 1990.

conclusionsThe attributable CRC death burden gradually shifted from higher SDI to lower SDI regions. The limitation in males was more significant, and the gap is expected to be further expanded. In lower SDI regions, the death burden tended to affect younger people. The leading cause of CRC-attributable deaths was the inadequate control of dietary and metabolic risk factors.

Indexed as

Colorectal NeoplasmsFemaleGeographyGlobal HealthHumansMaleRisk Factorsage standardized death rateaverage annual percentage changecolorectal cancerGlobal Burden of Disease Studypopulation attributable fractionrisk factor

Identifiers

PMID38545767
PMCPMC10973881

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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.