Evidence map›Paper›PMID 26321889›Full record

ReviewCurrent colorectal cancer reports

The Increasing Relevance of Tumour Histology in Determining Oncological Outcomes in Colorectal Cancer.

Iris D Nagtegaal, Niek Hugen

Open access · hybridAbstract readReview
In one paragraph

Review in Current colorectal cancer reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 14% of its field
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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. MRI features of signet ring rectal cancer.Abdominal radiology (New York) · 2021
    Article
  5. Review
  6. Mucinous Histology,Journal of oncology · 2020
    Article
  7. Article
  8. Article
  9. Article
  10. 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

2 authors at 2 institutions in 1 country.

Iris D NagtegaalDepartment of Pathology, Radboudumc, PO Box 9101, 6500 HB Nijmegen, The Netherlands.
Niek HugenDepartment of Surgery, Radboudumc, PO Box 9101, 6500 HB Nijmegen, The Netherlands.
Radboud University Medical Center · NLRadboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer is not just one type of cancer. Differences in outcome and reaction to treatment can at least be partly explained by different histological and molecular subtypes. Recognition of these differences may influence treatment decisions. However, there is huge variation in the amount of information that is available. Several tumour types such as mucinous carcinoma, signet ring cell carcinoma, neuroendocrine carcinoma and adenosquamous carcinoma have such a distinct phenotype that they are readily recognised. However, due to the rarity of signet ring cell carcinoma and adenosquamous carcinoma, limited data are available. More recently defined subtypes, like medullary carcinoma, serrated adenocarcinoma and micropapillary carcinoma, are not adequately diagnosed, which limits research possibilities using large-scale data from registries. In the current review, we systematically describe the histologic subtypes with the clinical and molecular background. We evaluate their prognosis compared to adenocarcinoma not otherwise specified and speculate about the clinical relevance.

Indexed as

AdenocarcinomaAdenosquamous carcinomaBRAF mutationColorectal cancerMedullary carcinomaMicropapillary carcinomaMicrosatellite instabilityMucinous carcinomaNeuroendocrine carcinomaPrognosisRAS mutationSerrated carcinomaSignet ring cell carcinomaSurvival

Identifiers

PMID26321889
PMCPMC4550646
OpenAlexW1881593359

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.