Evidence map›Paper›PMID 37701854›Full record

ArticleJournal of experimental pharmacology2023

Evaluation of Wound Healing Activity of 80% Methanol Stem-Bark Extract and Solvent Fractions of

Sagni Hanbisa, Wondmagegn Tamiru Tadesse, Teferra Abula

Open access · goldAbstract read
In one paragraph

Article in Journal of experimental pharmacology, 2023. 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
1.1field-weighted citation impact, top 21% 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, 8 citations in OpenAlex.

  1. Biological Effects ofPlants (Basel, Switzerland) · 2025
    Review
  2. Article
  3. The Anti-Inflammatory Potential of an Ethanolic Extract fromInternational journal of molecular sciences · 2024
    Article
  4. 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

3 authors at 2 institutions in 1 country.

Sagni HanbisaDepartment of Pharmacy, Institute of Health Science, Wallaga University, Nekemte, Ethiopia.
Wondmagegn Tamiru TadesseDepartment of Pharmacology and Clinical Pharmacy, School of Pharmacy, Addis Ababa University, Addis Ababa, Ethiopia.ORCID 0000-0001-6143-0387
Teferra AbulaDepartment of Pharmacology and Clinical Pharmacy, School of Pharmacy, Addis Ababa University, Addis Ababa, Ethiopia.
Addis Ababa University · ETWollega University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Methods: The bark of the plant was extracted by successive maceration using 80% methanol and then fractionated with aqueous, n-butanol, and chloroform. The crude extract and solvent fractions were formulated as an ointment. Wound healing activity was evaluated using excision and incision wound models. Total phenol, flavonoid, and alkaloid contents of the crude extract, aqueous, and n- butanol fractions of the plant were determined. Results: In both models, mice treated with 5% (w/w) and 10% (w/w) crude extract ointment exhibited a significant (p < 0.001) wound healing activity compared with control as evidenced by the increased rate of wound contraction and hydroxyproline content, the reduced epithelialization time, and the higher skin breaking strength. Mice treated with aqueous fraction ointment exhibited a high percentage of wound healing effect among all solvent fractions. The aqueous fraction consisted of higher phenolic (49.71 ± 0.73 mg/g) and flavonoid (39.58 ± 0.27 mg/g) content, while alkaloid (3.89 ± 0.55 mg/g) content was the lowest. Conclusion:

Indexed as

excisionextractfractionincisionmiceP. africanawound healing

Identifiers

PMID37701854
PMCPMC10494916
OpenAlexW4386510210

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.