Evidence map›Paper›PMID 42423119›Full record

ReviewInternational journal of cancer2026

Colorectal Cancer Screening in Hereditary and Familial High-Risk Populations: Best Practices and Future Directions.

Ophir Gilad, Francesc Balaguer, Elizabeth E Half, Kevin J Monahan, Elena M Stoffel, Sonia S Kupfer

Abstract readReview
In one paragraph

Review in International journal of cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ophir GiladSection of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0003-1724-2164
Francesc BalaguerDepartment of Gastroenterology, Clínic Barcelona, Centro de Investigación Biomédica en Red en Enfermedades Hepáticas y Digestivas, Institut D'investigacions Biomèdiques August Pi i Sunyer, Universitat de Barcelona, Barcelona, Spain.
Elizabeth E HalfDepartment of Gastroenterology, Rambam Health Care Campus, and the Bruce and Ruth Rappaport Faculty of Medicine, Technion Institute of Technology, Haifa, Israel.
Kevin J MonahanThe St Mark's Centre for Familial Intestinal Cancer, The National Bowel Hospital, Central Middlesex Hospital Site, London, UK.
Elena M StoffelDivision of Gastroenterology and Hepatology, Department of Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Sonia S KupferSection of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Chicago, Chicago, Illinois, USA.

Funding

FITting noninvasive testing into Lynch syndrome colorectal cancer surveillance: a multicenter, prospective trialR01CA287257 · NCI · UNIVERSITY OF CHICAGO · PI Fay Kastrinos, Sonia Kupfer · 2024 to 2026
$3.4M
NCI NIH HHS R01 CA287257
6 · The paper itself

Abstract

Colorectal cancer (CRC) remains a leading cause of cancer-related morbidity and mortality worldwide yet is largely preventable through effective screening and surveillance. While most CRC cases are sporadic, a substantial proportion occur in individuals at increased risk due to hereditary cancer syndromes or family history who require tailored screening strategies different from population-based approaches with respect to age of initiation, surveillance intervals, and modality. This review summarizes current evidence on CRC risk across higher risk groups, including Lynch syndrome, polyposis syndromes, carriers of moderate-penetrance genes, and individuals with a family history of CRC. Efficacy of colonoscopic surveillance and the potential roles of emerging biomarker tests and artificial intelligence-assisted technologies for detection of colorectal neoplasia are discussed. Current CRC surveillance guidelines, quality metrics and adherence in higher risk groups are reviewed. As research in genomics, biomarkers, microbiome, and artificial intelligence evolves, personalized risk-based screening strategies hold promise for optimizing CRC prevention. High-quality, population-specific data will be essential to refine surveillance intensity, improve adherence, and reduce CRC burden in higher risk populations.

Indexed as

CRC screeningfamilial colorectal cancerhereditary cancer syndromes

Identifiers

PMID42423119
PMCPMC13487839

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.