Evidence map›Paper›PMID 31273669›Full record

ArticleJournal of natural medicines2020

Medicinal uses, thin-layer chromatography and high-performance liquid chromatography profiles of plant species from Abomey-Calavi and Dantokpa Market in the Republic of Benin.

Godfried Dougnon, Michiho Ito

Abstract readLetter
PubMed Publisher
In one paragraph

Article in Journal of natural medicines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
6.9field-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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Research on Moringa (Plants (Basel, Switzerland) · 2024
    Review
  2. Article
  3. Article
  4. Essential Oil from the Leaves ofPharmaceuticals (Basel, Switzerland) · 2021
    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

2 authors at 1 institution in 1 country.

Godfried DougnonDepartment of Pharmacognosy, Graduate School of Pharmaceutical Sciences, Kyoto University, 46-29 Yoshida-Shimoadachi-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Michiho ItoDepartment of Pharmacognosy, Graduate School of Pharmaceutical Sciences, Kyoto University, 46-29 Yoshida-Shimoadachi-cho, Sakyo-ku, Kyoto, 606-8501, Japan. michihoi@pharm.kyoto-u.ac.jp.
Kyoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study provides a list of popular medicinal plants found in southern Benin (West Africa) with their mode of use, diseases treated, and thin-layer and high-performance liquid chromatography profiles. The list includes 10 of the most widely used plant species from Dantokpa Market (biggest market located in Cotonou) and Abomey-Calavi in the Republic of Benin. Species were identified by the Laboratory of Botany and Applied Ecology, University of Abomey-Calavi. Voucher specimens were deposited in the herbarium of the Experimental Station for Medicinal Plants, Graduate School of Pharmaceutical Sciences, Kyoto University, Japan, and in the National Herbarium of Benin, University of Abomey-Calavi. The list was as follows-Azadirachta indica (Meliaceae), Caesalpinia bonduc (Caesalpiniaceae), Catharanthus roseus (Apocynaceae), Garcinia kola (Clusiaceae), Khaya senegalensis (Meliaceae), Monodora myristica (Annonaceae), Moringa oleifera (Moringaceae), Talinum fruticosum (Talinaceae), Tridax procumbens (Asteraceae), and Xylopia aethiopica (Annonaceae).

Indexed as

BeninChromatography, High Pressure LiquidChromatography, Thin LayerHumansJapanPlant PreparationsPlants, MedicinalPlant PreparationsAbomey-CalaviDantokpa MarketHPLCMarket herbalistTLCTraditional healer

Identifiers

PMID31273669
OpenAlexW2954358678

What OpenQuestion holds

Textmetadata
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.