Evidence map›Paper›PMID 35965673›Full record

ArticleJournal of experimental pharmacology2022

Evaluation of Wound Healing Activity of 80% Methanol Root Crude Extract and Solvent Fractions of

Tesfagegn Gobezie Yiblet, Asegedech Tsegaw, Nejat Ahmed, Samuel Berihun Dagnew, Tesfaye Yimer Tadesse, Zemene Demelash Kifle

Abstract read
In one paragraph

Article in Journal of experimental pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

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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

6 authors.

Tesfagegn Gobezie YibletDepartment of Pharmacy, College of Medicine and Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Asegedech TsegawUniversity of Gondar, College of Medicine and Health Sciences, School of Pharmacy, Department of Pharmacology, Gondar, Ethiopia.
Nejat AhmedDepartment of Pathology, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Samuel Berihun DagnewDepartment of Pharmacy, College of Medicine and Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.ORCID 0000-0002-8938-4551
Tesfaye Yimer TadesseDepartment of Pharmacy, College of Medicine and Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.ORCID 0000-0002-5747-7120
Zemene Demelash KifleUniversity of Gondar, College of Medicine and Health Sciences, School of Pharmacy, Department of Pharmacology, Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The root of Objective: The aim of the study was to evaluate the wound healing activity of 80% methanol root extract and solvent fractions of Methods: The roots of Results: In mice, an acute dermal toxicity test of 2000 mg/kg of the 10% w/w crude extract was found to be safe. The 10% w/w crude extract ointment (CEO) produced significant (p < 0.001) wound contraction from 4th to 16th post wounding days, and the 5% w/w CEO were significant (p < 0.01) wound contraction on 10th post wounding day as compared to simple ointment (SO) treated group on excision wound. On burn wound models, the CEO showed highly significant (p < 0.001) from the 6th post wounding days onwards. The tensile strength was increased significantly (p < 0.001) by the CEO treated mice as compared to the untreated group and SO group. Conclusion: The data obtained from this study showed 80% methanol crude extract, the aqueous and the 10% w/w ethyl acetate fraction possessed better wound healing activities, and decreased period of epithelialization.

Indexed as

EthiopiaStephania abyssinicawound healingwound models

Identifiers

PMID35965673
PMCPMC9374092

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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.