Evidence map›Paper›PMID 24416503›Full record

ArticleFrontline gastroenterology2014

The molecular genetics of colorectal cancer.

Iain Ewing, Joanna J Hurley, Eleni Josephides, Andrew Millar

Abstract read
In one paragraph

Article in Frontline gastroenterology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

  1. Review
  2. Functional role of small extrachromosomal circular DNA in colorectal cancer.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Review
  4. Review
  5. Expression Analysis ofArchives of Razi Institute · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Genes · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Statistical Modeling of Relations Between PET/CT Parameters and CEA in Recurrent and Metastatic Colorectal Cancer.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2023
    Article

2 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

4 authors.

Iain EwingDepartment of Gastroenterology , North Middlesex University Hospital , London , UK.
Joanna J HurleyInstitute of Molecular Genetics, Cardiff University.
Eleni JosephidesDepartment of Gastroenterology , Queen's Hospital Romford , London , UK.
Andrew MillarDepartment of Gastroenterology , North Middlesex University Hospital , London , UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer is a common but heterogeneous disease, which arises through the accumulation of genetic mutations. Knowledge of the molecular basis of colorectal cancer has advanced at a rapid pace in recent years, reflecting progress made in the field of genomic medicine. Targeted therapies have come into mainstream use, and the exciting prospect of treatment regimens tailored to the mutation profile of individual tumours is beginning to emerge. In order to understand the development and application of the next generation of colorectal cancer treatments, it is important that gastroenterologists have a working knowledge of the pathological mechanisms that drive the disease. This review examines our current understanding of the molecular genetics of colorectal carcinogenesis.

Indexed as

Colonic NeoplasmsColonic PolypsColorectal AdenomasColorectal CancerColorectal Cancer Genes

Identifiers

PMID24416503
PMCPMC3880905

What OpenQuestion holds

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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.