Evidence map›Paper›PMID 24520533›Full record

ReviewWorld journal of experimental medicine2012

Natural compounds as anticancer agents: Experimental evidence.

Jiao Wang, Yang-Fu Jiang

Open access · hybridAbstract readReview
In one paragraph

Review in World journal of experimental medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

39 citing papers in PubMed, 94 citations in OpenAlex.

  1. Review
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  11. Design, synthesis, and molecular docking studies ofJournal of Taibah University Medical Sciences · 2024
    Article
  12. Review
  13. Article
  14. Review
  15. Special Issue "Novel Anti-Proliferative Agents".Pharmaceuticals (Basel, Switzerland) · 2023
    Article
  16. Article
  17. Review
  18. Production of natural flavor compounds usingFrontiers in nutrition · 2023
    Article
  19. Article
  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

2 authors at 1 institution in 1 country.

Jiao WangJiao Wang, School of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, Sichuan Province, China.
Yang-Fu JiangJiao Wang, School of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, Sichuan Province, China.
Chengdu University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer prevention research has drawn much attention worldwide. It is believed that some types of cancer can be prevented by following a healthy life style. Cancer chemoprevention by either natural or synthetic agents is a promising route towards lowering cancer incidence. In recent years, the concept of cancer chemoprevention has evolved greatly. Experimental studies in animal models demonstrate that the reversal or suppression of premalignant lesions by chemopreventive agents is achievable. Natural occurring agents such as dietary phytochemicals, tea polyphenols and resveratrol show chemopreventive activity in animal models. Moreover, clinical trials for testing the safety and efficacy of a variety of natural agents in preventing or treating human malignancy have been ongoing. Here, we summarize experimental data on the chemopreventive or tumor suppressive effects of several natural compounds including curcumin, (-)-epigallocatechin-3-gallate, resveratrol, indole-3-carbinol, and vitamin D.

Indexed as

CancerChemopreventionCurcumin(-)-Epigallocatechin-3-gallateIndole-3-carbinolNatural agentsResveratrolVitamin D

Identifiers

PMID24520533
PMCPMC3905583
OpenAlexW2072792139

What OpenQuestion holds

Textmetadata
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.