Evidence map›Paper›PMID 37375774›Full record

ReviewPharmaceuticals (Basel, Switzerland)2023

Application of Zebrafish as a Model for Anti-Cancer Activity Evaluation and Toxicity Testing of Natural Products.

Yifan Shen, Ruilong Sheng, Ruihua Guo

Abstract readReview
In one paragraph

Review in Pharmaceuticals (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Zebrafish: A Versatile and Powerful Model for Biomedical Research.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  4. Article
  5. Review
  6. 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

3 authors.

Yifan ShenCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Ruilong ShengCQM-Centro de Química da Madeira, Campus da Penteada, Universidade da Madeira, 9000-390 Funchal, Portugal.ORCID 0000-0002-3303-3832
Ruihua GuoCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.ORCID 0000-0001-8414-886X

Funding

ARDITI-Agência Re-gional para o Desenvolvimento da Investigação Tecnologia e Inovação ARDITI-CQM-2017- ISG-003ARDITI-Agência Re-gional para o Desenvolvimento da Investigação Tecnologia e Inovação M1420-01-0145-FEDER-000005-CQM+(Madeira 14-20 Program)Fundação para a Ciência e Tecnologia 2021.00453.CEECINDFundação para a Ciência e Tecnologia UIDB/00674/2020National Natural Science Foundation of China 81502955National Natural Science Foundation of China 82173731
6 · The paper itself

Abstract

Developing natural product-based anti-cancer drugs/agents is a promising way to overcome the serious side effects and toxicity of traditional chemotherapeutics for cancer treatment. However, rapid assessment of the in vivo anti-cancer activities of natural products is a challenge. Alternatively, zebrafish are useful model organisms and perform well in addressing this challenging issue. Nowadays, a growing number of studies have utilized zebrafish models to evaluate the in vivo activities of natural compounds. Herein, we reviewed the application of zebrafish models for evaluating the anti-cancer activity and toxicity of natural products over the past years, summarized its process and benefits, and provided future outlooks for the development of natural product-based anti-cancer drugs.

Indexed as

anti-angiogenesisanti-cancernatural productstoxicityzebrafish

Identifiers

PMID37375774
PMCPMC10305033

What OpenQuestion holds

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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.