Evidence map›Paper›PMID 28933386›Full record

ReviewDiseases (Basel, Switzerland)2016

Preventive Effects of Cocoa and Cocoa Antioxidants in Colon Cancer.

María Angeles Martín, Luis Goya, Sonia Ramos

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Diseases (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Foods (Basel, Switzerland) · 2022
    Review
  11. Review
  12. Article
  13. Review
  14. Article
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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 at 1 institution in 1 country.

María Angeles MartínDepartment of Metabolism and Nutrition, Institute of Food Science and Technology and Nutrition (ICTAN-CSIC), José Antonio Novais 10, Ciudad Universitaria, 28040 Madrid, Spain. amartina@ictan.csic.es.
Luis GoyaDepartment of Metabolism and Nutrition, Institute of Food Science and Technology and Nutrition (ICTAN-CSIC), José Antonio Novais 10, Ciudad Universitaria, 28040 Madrid, Spain. luisgoya@ictan.csic.es.
Sonia RamosDepartment of Metabolism and Nutrition, Institute of Food Science and Technology and Nutrition (ICTAN-CSIC), José Antonio Novais 10, Ciudad Universitaria, 28040 Madrid, Spain. s.ramos@ictan.csic.es.ORCID 0000-0003-2649-2616
Instituto de Ciencia y Tecnología de Alimentos y Nutrición · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer is one of the main causes of cancer-related mortality in the developed world. Carcinogenesis is a multistage process conventionally defined by the initiation, promotion and progression stages. Natural polyphenolic compounds can act as highly effective antioxidant and chemo-preventive agents able to interfere at the three stages of cancer. Cocoa has been demonstrated to counteract oxidative stress and to have a potential capacity to interact with multiple carcinogenic pathways involved in inflammation, proliferation and apoptosis of initiated and malignant cells. Therefore, restriction of oxidative stress and/or prevention or delayed progression of cancer stages by cocoa antioxidant compounds has gained interest as an effective approach in colorectal cancer prevention. In this review, we look over different

Indexed as

cocoa flavonoidscolon cancerin vitro and in vivo studiesmolecular mechanism

Identifiers

PMID28933386
PMCPMC5456306
OpenAlexW2255526822

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.