Trial reportDigestive diseases and sciences2015
Programmatic screening for colorectal cancer: the COLONPREV study.
Trial report in Digestive diseases and sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Effectiveness of sigmoidoscopy or colonoscopy screening on colorectal cancer incidence and mortality: a systematic review and meta-analysis of randomized controlled trial.Frontiers in oncology · 2024Pooled it
- Pooled it
- Systematic review of colorectal cancer screening guidelines for average-risk adults: Summarizing the current global recommendations.World journal of gastroenterology · 2018Pooled it
- Guideline
- Effectiveness of Colonoscopy Screening vs Sigmoidoscopy Screening in Colorectal Cancer.JAMA network open · 2024Trial
- Validation of Multi-Target Stool DNA Methylation Test for Colorectal Cancer Detection: A Preliminary Analysis.Biomedicines · 2026Article
- Why is early detection of colon cancer still not possible in 2023?World journal of gastroenterology · 2024Review
- Article
- Epigenome-Wide DNA Methylation Profiling of Normal Mucosa Reveals HLA-F Hypermethylation as a Biomarker Candidate for Serrated Polyposis Syndrome.The Journal of molecular diagnostics : JMD · 2022Article
- Strategies to Improve Persistent Adherence in Colorectal Cancer Screening.Gut and liver · 2020Review
- Colorectal cancer-screening program improves both short- and long-term outcomes: a single-center experience in Trieste.Updates in surgery · 2020Article
- Colorectal Cancer in the Young: Does Screening Make Sense?Current gastroenterology reports · 2019Review
- Colonoscopy-related complications in a nationwide immunochemical fecal occult blood test-based colorectal cancer screening program.Clinical epidemiology · 2018Article
- Colorectal cancer screening: An updated review of the available options.World journal of gastroenterology · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COLONPREV study is an ongoing multicenter, nationwide, randomized controlled trial aimed at evaluating the efficacy of once-only colonoscopy and biennial fecal immunochemical testing with respect to the reduction of CRC-related mortality at 10 years in average-risk colorectal cancer screening population. Following a pragmatic approach, this study may contribute to establishing the most cost-effective strategy in a programmatic, population-based setting. In this review, we report the results obtained at the first screening round, as well as others achieved in nested evaluations using the COLONPREV dataset with the aim of clarifying some controversial issues on the different strategies of colorectal cancer screening.
Indexed as
Identifiers
25492501What 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.