Evidence map›Paper›PMID 33572627›Full record

ReviewMolecules (Basel, Switzerland)2021

Middle East Medicinal Plants in the Treatment of Diabetes: A Review.

Alaa M Abu-Odeh, Wamidh H Talib

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
10.6field-weighted citation impact, top 1% 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

31 citing papers in PubMed, 94 citations in OpenAlex.

  1. Article
  2. Bioactive fractions ofMetabolism open · 2026
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  18. International journal of reproductive biomedicine · 2024
    Article
  19. Article
  20. Relevance of Indian traditional tisanes in the management of type 2 diabetes mellitus: A review.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023
    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 at 2 institutions in 1 country.

Alaa M Abu-OdehDepartment of pharmaceutical sciences, Faculty of Pharmacy, The University of Jordan, Amman 11942, Jordan.
Wamidh H TalibDepartment of Clinical Pharmacy and Therapeutics, Applied Science Private University, Amman 11931-166, Jordan.ORCID 0000-0003-1942-8982
Applied Science Private University · JOUniversity of Jordan · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes is a global health problem, and the number of diabetic patients is in continuous rise. Conventional antidiabetic therapies are associated with high costs and limited efficiency. The use of traditional medicine and plant extracts to treat diabetes is gaining high popularity in many countries. Countries in the Middle East region have a long history of using herbal medicine to treat different diseases, including diabetes. In this review, we compiled and summarized all the in vivo and in vitro studies conducted for plants with potential antidiabetic activity in the Middle East region. Plants of the Asteraceae and Lamiaceae families are the most investigated. It is hoped that this review will contribute scientifically to evidence the ethnobotanical use of medicinal plants as antidiabetic agents. Work has to be done to define tagetes, mechanism of action and the compound responsible for activity. In addition, safety and pharmacokinetic parameters should be investigated.

Indexed as

AnimalsDiabetes MellitusHumansHypoglycemic AgentsMedicine, TraditionalMiddle EastPlants, MedicinalHypoglycemic Agentsantidiabetic plantshyperglycemianatural productsplant extracts

Identifiers

PMID33572627
PMCPMC7867005
OpenAlexW3128293133

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.