ArticleJournal of gastrointestinal cancer2026
Colorectal Cancer in China, 1990 to 2023: Trends, Modifiable Risks, and Prevention Priorities Based on Global Burden of Disease 2023 Estimates.
Article in Journal of gastrointestinal cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- A scoping review of virtual reality technology utilization in patients with colorectal cancer.BMC nursing · 2026Article
- The Global Landscape of Colorectal cancer Incidence and Mortality in 2022 and Projections to 2045: New Estimates From GLOBOCAN 2022.Journal of gastrointestinal cancer · 2026Article
- Pancreatic cancer burden in China from 1990 to 2023: an analysis based on the global burden of disease study 2023.Frontiers in endocrinology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundWe analyzed China's colorectal cancer (CRC) burden from 1990 to 2023, focusing on incidence, mortality, disability-adjusted life years (DALYs), prevalence, and risk-attributable burden, to assess temporal trends and evaluate future prevention needs.
methodsUsing Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2023 estimates, we summarized all-age numbers and age-standardized rates (ASR) by sex. Joinpoint log-linear models calculated the average annual percent change (AAPC), and risk-attributable deaths and DALYs were profiled for 2023. And we conducted a brief sensitivity comparison of trends for 2010-2019 and 2019-2023 for both sexes combined. All results are model-based estimates and are reported with uncertainty intervals (UIs).
resultsIn 2023, China was estimated to have 611,364 incident CRC cases (95% UI 493,490-771,955), 258,088 deaths (225,359-305,788), 3,375,669 prevalent cases (2,710,191-4,159,613), and 6,279,382 DALYs (5,563,225-7,428,441). Over 1990-2023, ASIR and ASPR increased, while ASMR and ASDR declined. Males consistently had higher rates than females, and burden rose steeply with age. AAPCs showed an increase in incidence across the 15-49, 50-74, and ≥ 75 years age groups, particularly in those aged 75 years and older. Mortality and DALY rates declined at younger ages and were stable at ≥ 75. In 2023, the risk-attributable CRC burden was concentrated in dietary risks and metabolic and behavioural risks, including high fasting plasma glucose, smoking, alcohol use, and low physical activity. The brief pre- and post-2019 comparison suggested broadly similar directions with wide uncertainty.
conclusionsGBD 2023 estimates indicate that CRC remains a growing challenge in China, with rising ASIR and ASPR despite declining ASMR and ASDR. Prevention and screening planning should prioritise modifiable risks and strengthen service resilience, while interpreting model-based estimates in light of their uncertainty.
Indexed as
Identifiers
41557031What OpenQuestion holds
Registered trials
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.