SynthesisBMC cancer2022
A risk scoring system to predict the individual incidence of early-onset colorectal cancer.
Synthesis in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.
- Prediction model developed on the basis of meta-analysis in the field of medicine: a systematic survey and methodological summaries.BMC medical research methodology · 2025Pooled it
- Delphi Initiative for Early-Onset Colorectal Cancer (DIRECt) International Management Guidelines.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2023Guideline
- Closing the Diagnostic Gap in Early-Onset Colorectal Cancer: Red-Flag Symptoms, Screening, and Inherited Risk.Cancers · 2026Review
- Review
- Distance to Care, Regional Context, and Survival in Early-Onset Colorectal Cancer.Journal of surgical oncology · 2026Article
- Differential Plasma Expression of sTNF-R, TNF-α, PDGF-AA, IL-17A, and IL-1β Across the Colorectal Neoplasia Spectrum.Biomolecules · 2026Article
- Beyond colonoscopy, faecal DNA mutation screening provides a potential and viable path to early colorectal cancer detection.Scientific reports · 2025Article
- Validation and Refinement of Scores to Predict Stroke Risk: Prospective Cohort Study.JMIR public health and surveillance · 2025Article
- Article
- A qualitative study of a new metric for estimating early-onset colorectal cancer risk in male veterans: "Colon Age".BMC primary care · 2025Article
- Disulfidptosis-related immune patterns predict prognosis and characterize the tumor microenvironment in oral squamous cell carcinoma.BMC oral health · 2025Article
- Is early-onset colorectal cancer an evolving pandemic? Real-world data from a tertiary cancer center.The oncologist · 2024Article
- Article
- Orbital Apex Metastases From Primary Colorectal Adenocarcinoma: A Rare Cause for Unilateral Vision Loss.Cureus · 2024Article
- Development and validation of a prediction model for early screening of people at high risk for colorectal cancer.World journal of gastroenterology · 2024Article
- Multiethnic Trends in Early Onset Colorectal Cancer.Cancers · 2024Article
- Risk Prediction Modeling for Colorectal Adenomas: An Avenue Toward Prevention of Early Onset Colorectal Cancer.Gastro hep advances · 2024Review
- Distinct clinical characteristics in stage III rectal cancer among different age groups and treatment outcomes after neoadjuvant chemoradiotherapy.Therapeutic advances in medical oncology · 2024Article
- Bibliometric analysis of global research on physical activity and sedentary behavior in the context of cancer.Frontiers in oncology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe incidence of early-onset colorectal cancer (EOCRC) is increasing at an alarming rate and further studies are needed to identify risk factors and to develop prevention strategies.
methodsRisk factors significantly associated with EOCRC were identified using meta-analysis. An individual risk appraisal model was constructed using the Rothman-Keller model. Next, a group of random data sets was generated using the binomial distribution function method, to determine nodes of risk assessment levels and to identify low, medium, and high risk populations.
resultsA total of 32,843 EOCRC patients were identified in this study, and nine significant risk factors were identified using meta-analysis, including male sex, Caucasian ethnicity, sedentary lifestyle, inflammatory bowel disease, and high intake of red meat and processed meat. After simulating the risk assessment data of 10,000 subjects, scores of 0 to 0.0018, 0.0018 to 0.0036, and 0.0036 or more were respectively considered as low-, moderate-, and high-risk populations for the EOCRC population based on risk trends from the Rothman-Keller model.
conclusionThis model can be used for screening of young adults to predict high risk of EOCRC and will contribute to the primary prevention strategies and the reduction of risk of developing EOCRC.
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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.