Evidence map›Paper›PMID 36841490›Full record

ReviewGastroenterology2023

Colorectal Cancer Risk Assessment and Precision Approaches to Screening: Brave New World or Worlds Apart?

Fay Kastrinos, Sonia S Kupfer, Samir Gupta

Abstract readReview
In one paragraph

Review in Gastroenterology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 1 pooled it
–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

67 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. [Prevention and early detection of colorectal cancer].Innere Medizin (Heidelberg, Germany) · 2026
    Article
  6. Article
  7. Review
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  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Senescent fibroblasts drive CD8Journal of translational medicine · 2026
    Article
  15. A Practical Strategy of Informatics, Geospatial Mapping, Geodemographic Segmentation, and Regression Analyses to Address Nonadherence to Colorectal Cancer Screening.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

7 more citing papers are in PubMed but not listed here.

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

3 authors.

Fay KastrinosHerbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, New York; Division of Digestive and Liver Diseases, Columbia University Medical Center and Vagelos College of Physicians and Surgeons, New York, New York. Electronic address: fk18@columbia.edu.
Sonia S KupferUniversity of Chicago, Section of Gastroenterology, Hepatology and Nutrition, Chicago, Illinois.
Samir GuptaDivision of Gastroenterology, Department of Internal Medicine, University of California, San Diego, La Jolla, California; Veterans Affairs San Diego Healthcare System, San Diego, California.

Funding

The Organoid and Cell Culture CoreP30DK132710 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Robert F. Schwabe · 2022 to 2026
$7.2M
CRC-HUB-SPOKE: A ColoRectal Cancer screening Hub for Southern California community health centers.UH3CA233314 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GUPTA, SAMIR, HILL, LINDA L · 2020 to 2023
$4.9M
Post-polypectomy Surveillance for Reducing Colon Cancer Incidence and MortalityR37CA222866 · NCI · VETERANS MEDICAL RESEARCH FDN/SAN DIEGO · PI GUPTA, SAMIR · 2018 to 2023
$3.3M
Optimal Colorectal Cancer Surveillance Strategy for Lynch Syndrome by GenotypeR01CA257333 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HUR, CHIN, KASTRINOS, FAY · 2021 to 2025
$2.0M
Colonic responses to vitamin D and aspirin in African- and European-AmericansR01CA220329 · NCI · UNIVERSITY OF CHICAGO · PI KUPFER, SONIA · 2018 to 2022
$1.9M
CRC-HUB-SPOKE: A ColoRectal Cancer screening Hub for Southern California community health centers.UG3CA233314 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CASTANEDA, SHEILA FAYE, GUPTA, SAMIR · 2019 to 2019
$604k
NCI NIH HHS R01 CA220329NCI NIH HHS R01 CA257333NCI NIH HHS R37 CA222866NCI NIH HHS UG3 CA233314NCI NIH HHS UH3 CA233314NIDDK NIH HHS P30 DK132710
6 · The paper itself

Abstract

Current colorectal cancer (CRC) screening recommendations take a "one-size-fits-all" approach using age as the major criterion to initiate screening. Precision screening that incorporates factors beyond age to risk stratify individuals could improve on current approaches and optimally use available resources with benefits for patients, providers, and health care systems. Prediction models could identify high-risk groups who would benefit from more intensive screening, while low-risk groups could be recommended less intensive screening incorporating noninvasive screening modalities. In addition to age, prediction models incorporate well-established risk factors such as genetics (eg, family CRC history, germline, and polygenic risk scores), lifestyle (eg, smoking, alcohol, diet, and physical inactivity), sex, and race and ethnicity among others. Although several risk prediction models have been validated, few have been systematically studied for risk-adapted population CRC screening. In order to envisage clinical implementation of precision screening in the future, it will be critical to develop reliable and accurate prediction models that apply to all individuals in a population; prospectively study risk-adapted CRC screening on the population level; garner acceptance from patients and providers; and assess feasibility, resources, cost, and cost-effectiveness of these new paradigms. This review evaluates the current state of risk prediction modeling and provides a roadmap for future implementation of precision CRC screening.

Indexed as

Colorectal NeoplasmsEarly Detection of CancerColonoscopyHumansLife StyleMass ScreeningRisk AssessmentRisk FactorsColorectal Cancer Risk AssessmentColorectal Cancer Risk Prediction ModelsPolygenic Risk ScoresPrecision Colorectal Cancer Screening

Identifiers

PMID36841490
PMCPMC10370261

What OpenQuestion holds

Textmetadata
LicenceTDM
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.