Evidence map›Paper›PMID 24212777›Full record

ArticleCancers2011

Predictive and prognostic factors in colorectal cancer: a personalized approach.

Myutan Kulendran, John F Stebbing, Christopher G Marks, Timothy A Rockall

Abstract read
In one paragraph

Article in Cancers, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Nutrients · 2019
    Article
  9. Article
  10. Comparison of Basic and Ensemble Data Mining Methods in Predicting 5-Year Survival of Colorectal Cancer Patients.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2017
    Article
  11. Article
  12. Article
  13. Article
  14. Apoptotic pathways as a therapeutic target for colorectal cancer treatment.World journal of gastrointestinal oncology · 2016
    Review
  15. Clinical significance of serum ADP-ribosylation and NAD glycohydrolase activity in patients with colorectal cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Article
  16. Article
  17. Zinc-finger protein X-linked is a novel predictor of prognosis in patients with colorectal cancer.International journal of clinical and experimental pathology · 2014
    Article
  18. Human Leukocyte antigen-G (HLA-G) and gastrointestinal malignancy.Gastroenterology and hepatology from bed to bench · 2014
    Article
  19. Mechanistic aspects of COX-2 expression in colorectal neoplasia.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2013
    Review
  20. 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

4 authors.

Myutan KulendranDepartment of Coloproctology, Royal Surrey County Hospital NHS Foundation Trust, Egerton Road, Guildford, UK. myutan@hotmail.co.uk.
John F Stebbing
Christopher G Marks
Timothy A Rockall

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is an exciting time for all those engaged in the treatment of colorectal cancer. The advent of new therapies presents the opportunity for a personalized approach to the patient. This approach considers the complex genetic mechanisms involved in tumorigenesis in addition to classical clinicopathological staging. The potential predictive and prognostic biomarkers which have stemmed from the study of the genetic basis of colorectal cancer and therapeutics are discussed with a focus on mismatch repair status, KRAS, BRAF, 18qLOH, CIMP and TGF-β.

Identifiers

PMID24212777
PMCPMC3757382

What OpenQuestion holds

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Registered trials

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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.