Evidence map›Paper›PMID 38076168›Full record

ArticleHeliyon2023

Medicinal plants used for management of diabetes and hypertension in Ghana.

Tonny Asafo-Agyei, Yaw Appau, Kofi Bobi Barimah, Alex Asase

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Physiology and molecular biology of plants : an international journal of functional plant biology · 2024
    Review
  11. 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

4 authors at 1 institution in 1 country.

Tonny Asafo-AgyeiCentre for Plant Medicine Research, Department of Plant Development, P. O. Box 73 Akuapem-Mampong, Ghana.
Yaw AppauCentre for Plant Medicine Research, Department of Plant Development, P. O. Box 73 Akuapem-Mampong, Ghana.
Kofi Bobi BarimahCentre for Plant Medicine Research, Department of Plant Development, P. O. Box 73 Akuapem-Mampong, Ghana.
Alex AsaseUniversity of Ghana, Department of Plant and Environmental Biology, P. O. Box LG 55, Legon, Ghana.
University of Ghana · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes and hypertension have been declared as a global health menace of the 21st Century. Thus, the search for potential therapeutic agents from medicinal plants for the management of diabetes and hypertension is important. This study was undertaken to investigate medicinal plants being used in the management of diabetes and hypertension by herbalists in Ghana. Data were obtained from 36 herbalists through questionnaire interviews and conversations. Botanical specimens were collected, processed and identified following standard ethnobotanical methods. Data were analyzed using Fidelity Level (FL) and Informant Consensus Factor (ICF). A total of 39 species of plants belonging to 31 families were reported being used for management of diabetes and hypertension. Eighteen of these plants are used for the treatment of hypertension, 12 species for diabetes, and 9 species for management of both diseases. Informant consensus factor was highest for plants used to treat both diseases (IFC = 0.82) followed by hypertension (ICF = 0.31) and then diabetes (IFC = 0.24). FL values were high for

Indexed as

DiabetesEthnobotanyGhanaHerbalistHypertension

Identifiers

PMID38076168
PMCPMC10703729
OpenAlexW4389117618

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.