ArticleDigestive diseases and sciences2017
Impact of Age on the Risk of Advanced Colorectal Neoplasia in a Young Population: An Analysis Using the Predicted Probability Model.
Article in Digestive diseases and sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.
- Risk Scores for Predicting Advanced Colorectal Neoplasia in the Average-risk Population: A Systematic Review and Meta-analysis.The American journal of gastroenterology · 2018Pooled it
- Risk Factors Associated With Young-Onset Colorectal Adenomas and Cancer: A Systematic Review and Meta-Analysis of Observational Research.Cancer control : journal of the Moffitt Cancer CenterPooled it
- Modified predictive model incorporating the waist-to-hip ratio for advanced colorectal neoplasia: A step toward precision screening.World journal of clinical oncology · 2025Article
- Birth Cohort Colorectal Cancer (CRC): Implications for Research and Practice.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2024Review
- Is early-onset cancer an emerging global epidemic? Current evidence and future implications.Nature reviews. Clinical oncology · 2022Review
- Risk Stratification for Early-Onset Colorectal Cancer Using a Combination of Genetic and Environmental Risk Scores: An International Multi-Center Study.Journal of the National Cancer Institute · 2022Article
- Review
- Risk prediction rule for advanced neoplasia on screening colonoscopy for average-risk individuals.World journal of gastroenterology · 2020Article
- A New Comprehensive Colorectal Cancer Risk Prediction Model Incorporating Family History, Personal Characteristics, and Environmental Factors.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020Article
- Head-to-Head Comparison of the Performance of 17 Risk Models for Predicting Presence of Advanced Neoplasms in Colorectal Cancer Screening.The American journal of gastroenterology · 2019Article
- Colorectal cancer screening from 45 years of age: Thesis, antithesis and synthesis.World journal of gastroenterology · 2019Review
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe incidence of colorectal cancer is decreasing in adults aged ≥50 years and increasing in those aged <50 years.
aimsWe aimed to establish risk stratification model for advanced colorectal neoplasia (ACRN) in persons aged <50 years.
methodsWe reviewed the records of participants who had undergone a colonoscopy as part of a health examination at two large medical examination centers in Korea. By using logistic regression analysis, we developed predicted probability models for ACRN in a population aged 30-49 years.
resultsOf 96,235 participants, 57,635 and 38,600 were included in the derivation and validation cohorts, respectively. The predicted probability model considered age, sex, body mass index, family history of colorectal cancer, and smoking habits, as follows: Y
conclusionIn a young population, a predicted probability model can assess the risk of ACRN more accurately than existing models, including the APCS, KCS, and Kaminski's scoring models.
Indexed as
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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.