Evidence map›Paper›PMID 39409593›Full record

ReviewPlants (Basel, Switzerland)2024

Plant-Derived Alkaloids as a Potential Source of Treatment for Colorectal Cancer over the Past Five Years: A Comprehensive Review.

Tchangou Gaetan Tabakam, Tshepiso Jan Makhafola

Abstract readReview
In one paragraph

Review in Plants (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Tchangou Gaetan TabakamCentre for Quality of Health and Living, Faculty of Health and Environmental Sciences, Central University of Technology, Bloemfontein 9300, Free State, South Africa.ORCID 0000-0001-8977-1052
Tshepiso Jan MakhafolaCentre for Quality of Health and Living, Faculty of Health and Environmental Sciences, Central University of Technology, Bloemfontein 9300, Free State, South Africa.

Funding

Central University of Technology, Free State. Central University of Technology, Free State.
6 · The paper itself

Abstract

The gastrointestinal cancer known as colorectal cancer (CRC) is caused by a variety of genetic and epigenetic alterations in the intestinal epithelium of the colon and rectum. It is becoming more common every year. In view of this significant progress, it is urgent and imperative for researchers to work more in this direction in order to improve this health situation that is a major concern for society. Certain phenomena, such as the development of resistance by certain cells as well as the failure of certain therapies, play a part in the significantly changed situation. However, plants have always been used for their therapeutic virtues due to the large number of compounds they contain. Among them, alkaloids (more than 20,000 alkaloids have been isolated from plants, of which about 600 are known to be bioactive), which are one of the most diverse and extensively investigated classes of compounds among natural products, can be consider as a promising approach with regard to their numerous biological activities in general and, in particular their activities against colorectal cancer. This work aims to undertake deeper research on the examination of alkaloids that can be used as lead compounds in the treatment of colorectal cancer. The databases used during the literature searches were Web of Science, PubMed/Medline, and Scopus. This methodology allowed us to obtain 11 studies and 24 alkaloids (axidimins A-D, tabersonine, 19

Indexed as

alkaloidsaxidimin Caxidimin Dchaetocochin Jcolorectal cancer

Identifiers

PMID39409593
PMCPMC11479166

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.