Evidence map›Paper›PMID 39170475›Full record

ArticleHeliyon2024

Ethnobotanical study of medicinal plants used to manage human ailments in Lay Gaint District, South Gondar Zone, Amhara Region, Northwestern Ethiopia.

Yalew Yiblet

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. 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

1 author.

Yalew YibletDepartment of Biology, College of Natural and Computational Sciences, Mekdela Amba University, P.O. Box 32, Tuluawlia, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this work is to document and record the use of medicinal plants to treat various ailments in the study area. A total of 84 informants, consisting of 54 men and 30 women, between 35 and 80 years of age were chosen. Additionally, 20 key informants were deliberately selected for their expertise. Data were collected through face-to-face interviews, group discussions, and guided field walks using semi-structured interview questions. Ethnobotanical data were analyzed using quantitative analytical tools such as preference ranking, direct matrix ranking, fidelity level and informant consensus factor. Forty-six medicinal plants belonging to 41 genera and 33 families were collected and identified. Brassicaceae, Ranunculaceae, and Polygonaceae had the highest abundance of medicinal plants used to treat various diseases in the study area. Most of the medicinal plants were herbs (43 %), followed by shrubs (35 %). The study revealed that leaves (45.7 %) were the most frequently used plant parts in the preparation of remedies. The most common mode of administration was oral ingestion (61 %), followed by dermal application (30 %).

Indexed as

AlimentConservationLay Gaint districtMedicinal plantsThreats

Identifiers

PMID39170475
PMCPMC11336443

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.