Evidence map›Paper›PMID 32377288›Full record

ReviewOxidative medicine and cellular longevity2019

Medicinal Plants in the Prevention and Treatment of Colon Cancer.

Paola Aiello, Maedeh Sharghi, Shabnam Malekpour Mansourkhani, Azam Pourabbasi Ardekan, Leila Jouybari, Nahid Daraei, Khadijeh Peiro, Sima Mohamadian, Mahdiyeh Rezaei, Mahdi Heidari and 4 more

Abstract readReview
In one paragraph

Review in Oxidative medicine and cellular longevity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 1 pooled it
–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

66 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Frontiers in pharmacology · 2025
    Article
  11. Exploring the Chemopreventive Potential ofPharmaceuticals (Basel, Switzerland) · 2024
    Article
  12. Article
  13. Scleromitrion diffusum (Willd.) R. J. Wang Inhibits Gastric Cancer via ERBB2/ERBB3/PI3K/AKT Pathway.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2024
    Article
  14. Plants (Basel, Switzerland) · 2024
    Article
  15. Article
  16. Oxidative Stress and Age-Related Tumors.Antioxidants (Basel, Switzerland) · 2024
    Review
  17. Article
  18. Cytotoxic Effect ofCurrent issues in molecular biology · 2024
    Article
  19. Review
  20. Article

6 more citing papers are in PubMed but not listed here.

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

14 authors.

Paola AielloCouncil for Agricultural Research and Economics, Research Centre for Food and Nutrition, Via Ardeatina 546, 00178 Rome, Italy.
Maedeh SharghiNursing and Midwifery School, Guilan University of Medical Sciences, Rasht, Iran.
Shabnam Malekpour MansourkhaniDepartment of Biology, School of Science, Shiraz University, Shiraz, Iran.
Azam Pourabbasi ArdekanLung Diseases and Allergy Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran.
Leila JouybariNursing Research Center, Golestan University of Medical Sciences, Gorgan, Iran.
Nahid DaraeiStudent Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Khadijeh PeiroDepartment of Biology, Faculty of Sciences, Shahid Chamran University, Ahvaz, Iran.
Sima MohamadianFaculty of Pharmacy and Pharmaceutical Sciences, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
Mahdiyeh RezaeiFaculty of Pharmacy and Pharmaceutical Sciences, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
Mahdi HeidariLung Diseases and Allergy Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran.
Ilaria PelusoCouncil for Agricultural Research and Economics, Research Centre for Food and Nutrition, Via Ardeatina 546, 00178 Rome, Italy.ORCID https://orcid.org/0000-0002-6210-5241
Fereshteh GhoratTraditional and Complementary Medicine Research Center, Sabzevar University of Medical Sciences, Sabzevar, Iran.
Anupam BishayeeLake Erie College of Osteopathic Medicine, 5000 Lakewood Ranch Boulevard, Bradenton, FL 34211, USA.ORCID https://orcid.org/0000-0001-9159-960X
Wesam KootiLung Diseases and Allergy Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran.ORCID https://orcid.org/0000-0003-2214-2563

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The standard treatment for cancer is generally based on using cytotoxic drugs, radiotherapy, chemotherapy, and surgery. However, the use of traditional treatments has received attention in recent years. The aim of the present work was to provide an overview of medicinal plants effective on colon cancer with special emphasis on bioactive components and underlying mechanisms of action. Various literature databases, including Web of Science, PubMed, and Scopus, were used and English language articles were considered. Based on literature search, 172 experimental studies and 71 clinical cases on 190 plants were included. The results indicate that grape, soybean, green tea, garlic, olive, and pomegranate are the most effective plants against colon cancer. In these studies, fruits, seeds, leaves, and plant roots were used for

Indexed as

PhytotherapyAnimalsAntineoplastic Agents, PhytogenicApoptosisColonic NeoplasmsHumansOxidative StressPlants, MedicinalSignal TransductionSuperoxide DismutaseAntineoplastic Agents, PhytogenicSuperoxide Dismutase

Identifiers

PMID32377288
PMCPMC7187726

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.