SynthesisThe American journal of gastroenterology2018
Risk Scores for Predicting Advanced Colorectal Neoplasia in the Average-risk Population: A Systematic Review and Meta-analysis.
Synthesis in The American journal of gastroenterology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 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
49 citing papers in PubMed, 2 syntheses or guidelines pooled it, 110 citations in OpenAlex.
- Impact of antiplatelet agents and anticoagulants on the performance of fecal immunochemical tests: a systematic review and meta-analysis.Surgical endoscopy · 2022Pooled it
- Risk Prediction Model for Esophageal Cancer Among General Population: A Systematic Review.Frontiers in public health · 2021Pooled it
- Effectiveness and cost-effectiveness of risk-adapted colorectal cancer screening: a randomized controlled trial and modeling analysis.Military Medical Research · 2025Trial
- Assessing the Feasibility and Acceptability of a Colorectal Cancer Risk Prediction Tool in Primary Care to Increase Screening Uptake in Singapore: A Multi-Methods Pilot Study.Journal of primary care & community healthTrial
- Association Between Colorectal Neoplasia and Subclinical Coronary Atherosclerosis in Asymptomatic Individuals.Journal of Korean medical science · 2026Article
- The performance of FIT-based colorectal cancer screening: results from a population-based program.Scientific reports · 2026Article
- Article
- Enhancing FIT-based colorectal cancer screening through risk prediction: a comparative evaluation of 17 models in a large Chinese cohort.Cancer biology & medicine · 2026Article
- Association between the red cell distribution Width - coefficient of variation with colon cancer and all-cause mortality: insights from the 1999-2018 NHANES.BMC gastroenterology · 2025Article
- Identification of an E2Fs-based gene signature for predicting prognosis and therapeutic response in colorectal cancer.Discover oncology · 2025Article
- Early Detection, Precision Treatment, Recurrence Monitoring: Liquid Biopsy Transforms Colorectal Cancer Therapy.Current cancer drug targets · 2025Review
- Development of a risk score for colorectal cancer screening.Gastroenterology and hepatology from bed to bench · 2025Article
- Stool-based methylated syndecan-2 testing has a high positive predictive value in an average/increased-risk population: a multicenter retrospective study.Gastroenterology report · 2025Article
- Review
- A self-reported symptom-based decision-making model helps to rule out outpatient cases at low risk for CRC before colonoscopy.Heliyon · 2024Article
- Effectiveness of colorectal cancer screening integrating non-genetic and genetic risk: a prospective study based on UK Biobank data.Cancer biology & medicine · 2024Article
- Predictive Score for Advanced Colorectal Neoplasia Based on Cardiovascular and Colorectal Cancer Risk Factors.Journal of clinical medicine · 2024Article
- Risk prediction of advanced colorectal neoplasia among diabetic patients: A derivation and validation study.JGH open : an open access journal of gastroenterology and hepatology · 2024Article
- Synthetic Derivatives of NaturalInternational journal of molecular sciences · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesA systematic review and meta-analysis was performed to summarize the available evidence on risk scores for predicting advanced colorectal neoplasia (advanced adenomas and cancer) in average-risk and asymptomatic populations undergoing screening colonoscopy.
methodsPubMed, EMBASE, and Web of Science databases were searched up to 28 March 2018. Studies that developed or validated a risk score to predict the risk of advanced colorectal neoplasia were included. Two reviewers independently extracted study characteristics including diagnostic performance indicators and assessed risk of bias and applicability in the included studies. Meta-analyses were conducted to determine the overall discrimination of risk scores evaluated by more than 1 study.
resultsA total of 22 studies including 17 original risk scores were identified. Risk scores included a median number of 5 risk factors. Factors most commonly included were age, sex, family history in first-degree relatives, body mass index and smoking. The area under the receiver operating characteristic curve of risk scores ranged from 0.62 to 0.77 in the individual studies and from 0.61 to 0.70 in the meta-analyses.
conclusionsAlthough the majority of available risk scores had relatively weak discriminatory power, they may be of some use for risk stratification in CRC screening. Rather than developing more risk scores based on environmental risk factors, future research should focus on exploring possibilities of enhancing predictive power by combining risk factor data with novel laboratory matters, such as polygenetic risk scores.
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.