Evidence map›Paper›PMID 42908789›Full record

ArticleFrontiers in oncology2026

Global, regional and national cancer burden and trends of middle-aged and older populations: a GBD 2021-based analysis, prediction and prevention.

Ruokai Sun, Feng Shi, Yinsi Tang, Huicong Song, Jiamin Song, Lirong Yan, Yang Chen, Hongfei Yan

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ruokai Sun *Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Feng Shi *Department of Health Management, Shengjing Hospital of China Medical University, Shenyang, China.
Yinsi TangDepartment of Gastroenterology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China.
Huicong SongDepartment of Oncology, The Affiliated Hospital of Chifeng University, Chifeng, Inner Mongolia, China.
Jiamin SongDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Lirong YanSichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Yang ChenDepartment of Medical Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Hongfei YanDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Middle-aged and older adults (MAOs; defined as individuals aged ≥40 years) account for the global cancer burden, contributing to 70-80% of cases. Characterizing cancer profiles in this demographic is essential for developing targeted prevention and treatment strategies to mitigate global impacts. Methods: Using Global Burden of Diseases (GBD) 2021 data, we analyzed incidence, prevalence, mortality and Disability-Adjusted Life Years (DALYs) for 31 cancers among MAOs (aged≥40) across 204 countries/21 regions(1990-2021). Trends were quantified via Joinpoint regression, and autoregressive integrated moving-average (ARIMA) models projected the burden through 2035. Risk attribution utilized population attributable fractions across Socio-demographic Index (SDI) quintiles. An order-independent Shapley decomposition attributed projected cancer incidence changes during 2021-2035 to population growth, aging, and age-specific incidence rate shifts. Results: In 2021, MAOs accounted for 48,804,114 incident cases and 9,434,210 deaths. Females exhibited a 1.14-fold higher age-standardized incidence rate (ASIR) than males, yet males had a higher age-standardized mortality rate (ASMR). Projections suggested a continued rise in cancer burden through 2035. Peak incidence occurred in ages 60-69 and the highest mortality in ages 70-79. Breast cancer was the main cancer in females; tracheal/bronchus/lung cancer in males. Tracheal/bronchus/lung cancer dominated mortality across all groups except middle-aged women (breast cancer). High-SDI regions bore the greatest burden, characterized by tracheal/bronchus/lung and colorectal cancers, while low-SDI regions shifted toward breast, cervical and stomach cancer. Risk factor analysis from 2010-2021 revealed rising metabolic risks, with high body mass index (BMI) and fasting plasma glucose-attributable DALYs increasing by 12.39% and 11.36% respectively, especially in high-SDI regions. Conversely, while most behavioral risks declined, smoking remained the leading risk factor, contributing over 60% to lung cancer DALYs. In low-SDI regions, behavioral drivers such as unsafe sex (accounting for >90% of cervical cancer risk) and air pollution remained the dominant persistent risks. Discussion: This study, the first focusing on MAOs' global cancer burden, reveals heterogeneous patterns by age, gender, and SDI. Lung cancer was the leading cause of death (smoking as main risk). Metabolic risks rose in high-SDI regions, behavioral risks in low-SDI regions. In conclusion, MAOs' cancer burden will rise through 2035; region-specific precision strategies are essential.

Indexed as

cancer burdencancer trendsglobal burden of diseases (GBD)middle-aged and older adultsrisk factors

Identifiers

PMID42908789
PMCPMC13683138

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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.