ArticlePreventing chronic disease2018
Mortality Trends in Colorectal Cancer in China During 2000-2015: A Joinpoint Regression and Age-Period-Cohort Analysis.
Article in Preventing chronic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- The Epidemiology of colorectal cancer in Guangzhou, China: A cross-sectional and age-period-cohort study.PLOS global public health · 2026Article
- RAS mutations and colorectal cancer metabolism: a metabolomic analysis of tissue samples.BMC cancer · 2025Article
- Cancer mortality trends in China from 2013-2021 and projections to 2030.Cancer biology & medicine · 2025Article
- Examining the dietary contributions of lipids to pancreatic cancer burden (1990-2021): incidence trends and future projections.Lipids in health and disease · 2025Article
- Global burden and future trends of gastric cancer in women of reproductive age: estimates from the GBD 2021 Study, 1990-2050.Frontiers in oncology · 2025Article
- Intestinal microbiota as biomarkers for different colorectal lesions based on colorectal cancer screening participants in community.Frontiers in microbiology · 2025Article
- Urban vs. rural: colorectal cancer survival and prognostic disparities from 2000 to 2019.Frontiers in public health · 2024Article
- Distinct time trends in colorectal cancer incidence in countries with SDI levels from 1990 to 2019: an age-period-cohort analysis for the Global Burden of Disease 2019 study.Frontiers in public health · 2024Article
- Article
- Plasminogen activator, urokinase enhances the migration, invasion, and proliferation of colorectal cancer cells by activating the Src/ERK pathway.Journal of gastrointestinal oncology · 2022Article
- Colorectal cancer burden, trends and risk factors in China: A review and comparison with the United States.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2022Article
- Colorectal Cancer Incidence and Mortality Trends and Analysis of Risk Factors in China from 2005 to 2015.International journal of general medicine · 2021Article
- Chaperonin-Containing TCP1 Subunit 6A Is a Prognostic Potential Biomarker That Correlates With the Presence of Immune Infiltrates in Colorectal Cancer.Frontiers in genetics · 2021Article
- The Effect of Long-Term Traditional Chinese Medicine Treatment on Survival Time of Colorectal Cancer Based on propensity Score Matching: A Retrospective Cohort Study.Evidence-based complementary and alternative medicine : eCAM · 2020Article
- Burden of colorectal cancer in China, 1990Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2019Article
- MicroRNA-193a-3p suppresses the colorectal cancer cell proliferation and progression through downregulating the PLAU expression.Cancer management and research · 2019Article
- Population-Based Incidence, Mortality, And Survival For Gastrointestinal Cancers During 2006-2016 In Wuhan, Central China.Cancer management and research · 2019Article
- The Cancer Incidence and Trends From 2011 to 2018 in Ma'anshan, China: A Registry-Based Observational Study.Cancer control : journal of the Moffitt Cancer CenterObservational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAs lifestyles have increasingly become westernized in China, public health strategies have increasingly focused on cancer prevention. The objective of this study was to describe trends in colorectal cancer (CRC) mortality and the age, period, and cohort effects of CRC mortality in urban and rural China from 2000 to 2015.
methodsWe collected CRC mortality data from the China Health Statistics Yearbook. We used joinpoint regression analysis to estimate the slope of mortality trends. We then used the age-period-cohort (APC) model with intrinsic estimator to estimate the age, period, and cohort effects of CRC mortality.
resultsCRC mortality was higher in urban areas than in rural areas, and the average annual percentage change was also larger in urban areas (4.1%) than in rural areas (3.7%). CRC mortality risk was higher among older adults than among adults aged 20 to 24: the relative risk among adults aged 60 to 64 was 31.09 times higher in urban China and 11.46 times higher in rural China. CRC mortality risk increased with period: compared with period 2000, the relative risk was 1.01 in period 2005, 1.36 in period 2010, and 1.42 in period 2015 in urban China and 1.12 in period 2005, 1.24 in period 2010, and 1.69 in period 2015 in rural China. More recent cohorts had lower CRC mortality risk: compared with the cohort born during 1920-1924, the relative risk of cohort 1950-1954 was 0.70 in urban China and 0.69 in rural China.
conclusionMore interventions to reduce the burden of CRC should be conducted, and it is more necessary for older people and urban residents to adopt a healthy lifestyle in China.
Indexed as
Identifiers
What 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.