ArticleBritish journal of cancer2018
Risk-adjusted colorectal cancer screening using the FIT and routine screening data: development of a risk prediction model.
Article in British journal of cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial Intelligence Techniques That May Be Applied to Primary Care Data to Facilitate Earlier Diagnosis of Cancer: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Diagnostic yield of a risk model versus faecal immunochemical test only: a randomised controlled trial in a colorectal cancer screening programme.British journal of cancer · 2023Trial
- The performance of FIT-based colorectal cancer screening: results from a population-based program.Scientific reports · 2026Article
- A Multi-Gene Signature Associated with 1-Year Survival in Patients with Stage I Liver Cancer: Integration of Preclinical and TCGA Data.Current issues in molecular biology · 2026Article
- Colorectal Cancer Screening Based on Fecal Immunochemical Test and Risk Assessment: A Population-based Study Including Two Million Participants in China.Journal of epidemiology · 2025Article
- Accuracy, Acceptability, and Application: Fecal Immunochemical Tests for Early Detection of Advanced Neoplasia in Colonoscopy-Based Surveillance.Digestive diseases and sciences · 2024Article
- Article
- Improved use of faecal immunochemical tests for haemoglobin in the Scottish bowel screening programme.Journal of medical screening · 2023Article
- Impact of time between faecal immunochemical tests in colorectal cancer screening on screening results: A natural experiment.International journal of cancer · 2023Article
- Colorectal Cancer Risk Assessment and Precision Approaches to Screening: Brave New World or Worlds Apart?Gastroenterology · 2023Review
- Machine Learning in Colorectal Cancer Risk Prediction from Routinely Collected Data: A Review.Diagnostics (Basel, Switzerland) · 2023Review
- Predictive Modeling of Colonoscopic Findings in a Fecal Immunochemical Test-Based Colorectal Cancer Screening Program.Digestive diseases and sciences · 2022Article
- A scoping review of risk-stratified bowel screening: current evidence, future directions.Cancer causes & control : CCC · 2022Article
- Risk-stratified selection to colonoscopy in FIT colorectal cancer screening: development and temporal validation of a prediction model.British journal of cancer · 2022Observational
- Colorectal Cancer Screening in China: Status, Challenges, and Prospects - China, 2022.China CDC weekly · 2022Article
- Risk-stratified strategies in population screening for colorectal cancer.International journal of cancer · 2022Review
- Future of Colorectal Cancer Screening: From One-Size-FITs-All to Tailor-Made.Frontiers in gastroenterology (Lausanne, Switzerland) · 2022Review
- Faecal immunochemical testing in bowel cancer screening: Estimating outcomes for different diagnostic policies.Journal of medical screening · 2021Article
- Individualized faecal immunochemical test cut-off based on age and sex in colorectal cancer screening.Preventive medicine reports · 2021Article
- Comparative yield and efficiency of strategies based on risk assessment and fecal immunochemical test in colorectal cancer screening: A cross-sectional population-based analysis.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe faecal immunochemical test (FIT) is replacing the guaiac faecal occult blood test in colorectal cancer screening. Increased uptake and FIT positivity will challenge colonoscopy services. We developed a risk prediction model combining routine screening data with FIT concentration to improve the accuracy of screening referrals.
methodsMultivariate analysis used complete cases of those with a positive FIT (⩾20 μg g
resultsDiscrimination improved from 0.628 with just FIT to 0.659 with the risk-adjusted model (P=0.01). Calibration using the Hosmer-Lemeshow test was 0.90 for the risk-adjusted model. The sensitivity improved from 30.78% to 33.15% at similar specificity (FIT threshold of 160 μg g
conclusionsCombining routinely available risk predictors with the FIT improves the clinical sensitivity of the FIT with an increase in the diagnostic yield of high-risk adenomas.
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