Evidence map›Paper›PMID 40437534›Full record

ArticleBMC medicine2025

Economic burden attributable to high BMI-caused cancers: a global level analysis between 2002 and 2021.

Jiacheng Zheng, Laiang Yao, Katie Lei, Wanying Huang, Yi Jie Zhou Luo, Priscilla Hui-Xuan Tran, Aaron Guan, Yueyi Qiu, Yusuff Adebayo Adebisi, Don Lucero-Prisno Eliseo and 4 more

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Article in BMC medicine, 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

14 authors.

Jiacheng ZhengBirmingham Business School, College of Social Science, University of Birmingham, Birmingham, UK.
Laiang YaoThe Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Katie LeiSchool of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, Scotland, UK.
Wanying HuangDepartment of Mathematics and Statistics, McGill University, Montreal, QC, Canada.
Yi Jie Zhou LuoSchulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada.
Priscilla Hui-Xuan TranDepartment of Biology, Faculty of Science, University of Western Ontario, London, ON, Canada.
Aaron GuanDepartment of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada.
Yueyi QiuDepartment of Psychology, Faculty of Science, University of Alberta, Edmonton, AB, Canada.
Yusuff Adebayo AdebisiNuffield Department of Population Health, University of Oxford, Oxford, UK.
Don Lucero-Prisno EliseoDepartment of Global Health and Development, London School of Hygiene and Tropical Medicine, London, UK.
Claire Chenwen ZhongThe Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China. chenwenzhong@cuhk.edu.hk.
Martin C S WongThe Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China. wong_martin@cuhk.edu.hk.
Junjie HuangThe Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China. junjie_huang@link.cuhk.edu.hk.
Global Health Focus Epidemiology Group (GHFEG)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity and overweight are prevailing concerns in modern society, but high BMI shows an established correlation with the risk of cancers that impacts not only medical issues but also economic performance. This study analyzes the economic loss due to high BMI-caused cancers (HBCCs).

methodsThis study used the comprehensive Global Burden of Disease (GBD) 2021 database and estimated the economic loss of HBCCs through the Value of Statistical Life approach (VSLA), incorporating a willingness-to-pay metric. Health burdens are expressed in age-standardized DALYs and death rates, and economic burdens are shown in dollars lost (2021 PPP) calculated from total DALYs. A joinpoint regression analysis was utilized to capture the temporal trends, cancer incidence, and economic losses attributed to high BMI across various countries and income levels. We calculated the average annual percentage change (AAPC) in total economic loss to evaluate the trend over the study period.

resultsThere is a growing trend in both economic loss and disease burden of HBCCs on a global level. Colon and rectum cancer (CRC) show the highest economic loss ($2593.159 million, UI: 1109.04-4119.61, to $7294.52 million, UI: 3134.75-11,511.13), with pancreatic (AAPC: 10.47*, CI: 8.01-13.51) and liver cancer (AAPC: 8.08*, CI: 5.77-10.35) being the fastest growing cause. The cancer burden for all measures positively correlates with the country's income level; high-income countries are the only group to experience a decreasing trend in the health burden, but they are still increasing in economic burden. Differences in loss of certain types of cancer and gender gap are observed in different income tiers.

conclusionsThese findings indicate a significant upward trend in economic loss, highlighting the urgency for strengthened policy measures. It is crucial for policymakers to implement effective risk reduction and resilience-building strategies to mitigate future economic loss and better protect vulnerable communities.

Indexed as

Body Mass IndexCost of IllnessNeoplasmsObesityFemaleGlobal Burden of DiseaseGlobal HealthHumansIncidenceMaleMiddle AgedDifferent income tiersEconomic burdenHigh BMI-caused cancersValue of Statistical Life Approach

Identifiers

PMID40437534
PMCPMC12121180

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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.