SynthesisJournal of global health2023
National and subnational incidence, mortality and associated factors of colorectal cancer in China: A systematic analysis and modelling study.
Synthesis in Journal of global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 4 of them syntheses that pooled 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.
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
32 citing papers in PubMed, 4 syntheses or guidelines pooled it, 32 citations in OpenAlex.
- Diagnostic sensitivity and specificity of enhanced computed tomography in colorectal tumors: a meta-analysis and systematic review.Diagnostic and interventional radiology (Ankara, Turkey) · 2026Pooled it
- Dietary factors and colorectal cancer risk in Asian populations: a systematic review and meta-analysis of cohort studies.Cancer causes & control : CCC · 2025Pooled it
- Efficacy and safety of PD-1 and PD-L1 inhibitors in advanced colorectal cancer: a meta-analysis of randomized controlled trials.BMC gastroenterology · 2024Pooled it
- Global incidence and risk factors for glaucoma: A systematic review and meta-analysis of prospective studies.Journal of global health · 2024Pooled it
- Prognostic risk modeling based on integrated multi-omics analysis identifies CRY2 as a key regulator in tumor immunity and patient survival in colorectal cancer.Annals of medicine · 2026Article
- MicroRNA-941 Acts as a Novel Prognostic Predictor and Oncogenic Driver in Colorectal Cancer.Annals of gastroenterological surgery · 2026Article
- A predictive nomogram model for overall survival in obstructive colorectal cancer based on clinical and laboratory indicators.Journal of gastrointestinal oncology · 2026Article
- Review
- Bayesian model prediction of colorectal cancer incidence in Jiangsu Province, China, a cancer registry-based study.BMC public health · 2026Article
- Psychometric evaluation of the Chinese CancerSupportSourceHealth and quality of life outcomes · 2026Article
- Two-portWorld journal of gastrointestinal surgery · 2026Article
- Screening and validation of potential molecular markers for colorectal cancer: based on bioinformatics analysis and machine learning.Clinical and experimental medicine · 2026Article
- Integrating migration into cancer geography: spatial clustering of five digestive cancer burden in China.Frontiers in public health · 2026Article
- Association betweenFrontiers in oncology · 2026Article
- Various machine learning prediction models for short-term postoperative prognosis of colorectal cancer based on intraoperative hypothermia.American journal of cancer research · 2026Article
- Association of postoperative delayed bowel function recovery with weight and muscle loss at 6 months in colorectal cancer patients.Frontiers in nutrition · 2026Article
- Article
- Integrating nutritional and immune-inflammation-based index predicts disease-free survival of colorectal cancer patients undergoing radical surgery.Journal of gastrointestinal oncology · 2025Article
- Liquid-liquid phase separation of GPS2-LATS1 promotes colorectal cancer progression by reprogramming lipid metabolism.Oncogene · 2025Article
- The global, regional and national burden of three female pelvic cancers attributable to high BMI from 1990 to 2021: a systematic analysis for the Global Burden of Disease Study 2021 and projection to 2050.The British journal of nutrition · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 4 institutions in 3 countries.
Funding
Abstract
Background: Due to their known variation by geography and economic development, we aimed to evaluate the incidence and mortality of colorectal cancer (CRC) in China over the past decades and identify factors associated with CRC among the Chinese population to provide targeted information on disease prevention. Methods: We conducted a systemic review and meta-analysis of epidemiolocal studies on the incidence, mortality, and associated factors of CRC among the Chinese population, extracting and synthesising data from eligible studies retrieved from seven global and Chinese databases. We pooled age-standardised incidence rates (ASIRs) and mortality rates (ASMRs) for each province, subregion, and the whole of China, and applied a joinpoint regression model and annual per cent changes (APCs) to estimate the trends of CRC incidence and mortality. We conducted random-effects meta-analyses to assess the effect estimates of identified associated risk factors. Results: We included 493 articles; 271 provided data on CRC incidence or mortality, and 222 on associated risk factors. Overall, the ASIR of CRC in China increased from 2.75 to 19.39 (per 100 000 person-years) between 1972 and 2019 with a slowed-down growth rate (APC Conclusions: We found substantial variation of CRC burden across regions and provinces of China and identified several associated risk factors for CRC, which could help to guide the formulation of targeted disease prevention and control strategies. Registration: PROSPERO: CRD42022346558.
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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.