Evidence map›Paper›PMID 36676658›Full record

ArticleMedicina (Kaunas, Lithuania)2022

The Therapeutic Application of

Haiwad Gul, Rana Dawood Naseer, Ifraha Abbas, Ejaz Ali Khan, Habib Ur Rehman, Asif Nawaz, Abul Kalam Azad, Ghadeer M Albadrani, Ahmed E Altyar, Ashraf Albrakati and 1 more

Abstract read
In one paragraph

Article in Medicina (Kaunas, Lithuania), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Evaluation ofRSC advances · 2025
    Article
  4. Article
  5. Plant Extracts as Skin Care and Therapeutic Agents.International journal of molecular sciences · 2023
    Review
  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

11 authors.

Haiwad GulInstitute of Physiology and Pharmacology, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.ORCID 0000-0001-7550-7058
Rana Dawood NaseerDepartment of Pharmacy, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
Ifraha AbbasInstitute of Physiology and Pharmacology, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
Ejaz Ali KhanCollege of Animal Science and Animal Medicine, Tianjin Agricultural University, Tianjin 300384, China.ORCID 0000-0002-5159-7674
Habib Ur RehmanInstitute of Physiology and Pharmacology, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
Asif NawazAdvanced Drug Delivery Lab, GCPS, Faculty of Pharmacy, Gomal University, D. I. Khan 29111, Pakistan.ORCID 0000-0002-3232-0258
Abul Kalam AzadDepartment of Pharmaceutical Technology, Faculty of Pharmacy, MAHSA University, Jenjarom 42610, Malaysia.ORCID 0000-0003-4874-1169
Ghadeer M AlbadraniDepartment of Biology, College of Science, Princess Nourah bint Abdulrahman University, Riyadh 11671, Saudi Arabia.ORCID 0000-0001-5657-4650
Ahmed E AltyarDepartment of Pharmacy Practice, Faculty of Pharmacy, King Abdulaziz University, P.O. Box 80260, Jeddah 21589, Saudi Arabia.
Ashraf AlbrakatiDepartment of Human Anatomy, College of Medicine, Taif University, Taif 21944, Saudi Arabia.ORCID 0000-0002-4116-7865
Mohamed M Abdel-DaimDepartment of Pharmaceutical Sciences, Pharmacy Program, Batterjee Medical College, P.O. Box 6231, Jeddah 21442, Saudi Arabia.ORCID 0000-0002-4341-2713

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Nanomedicine is a constantly growing field for the diagnosis and treatment of various diseases as well as for regenerative therapy. Nanotechnology-based drug-delivery systems improve pharmacological and pharmacokinetic profiles of plants based biologically active molecules. Based on traditional claims, leaves of the Tamarix aphylla (TA) were investigated for their potential healing activity on burn wounds. Materials and Methods: In this study, TA-based nanoemulsion was prepared. The nanoemulsion was characterized for size, zeta potential, pH, viscosity, and stability. The nanoemulsion containing plant extract was converted into cream and evaluated for its efficacy against acid-burn wounds inflicted in the dorsum of rabbits. The animals were classified into four main groups: Group A as a normal control group, Group B as a positive control (treated with cream base + silver sulfadiazine), Group C as a standard drug (silver sulfadiazine), and Group D as a tested (treated with nanoemulsion cream containing TA extract). The prepared system could deliver TA to the target site and was able to produce pharmacological effects. On days 0, 7, 14, 21, 28, and 35, wound contraction rate was used to determine healing efficacy. The wound samples were collected from the skin for histological examination. Results: Based on statistical analysis using wound-healing time, Group D showed a shorter period (21.60 ± 0.5098) (p < 0.01) than the average healing time of Group C (27.40 ± 0.6002) (p < 0.05) and Group B (33.40 ± 0.8126) (p < 0.05). The histopathological assessment showed that burn healing was better in Group D compared with Group C and Group B. The nanoemulsion cream had a non-sticky texture, low viscosity, excellent skin sensations, and a porous structure. By forming a protective layer on the skin and improving moisture, it enhanced the condition of burnt skin. Conclusions: According to the findings of this study, nanoemulsion cream containing TA extract has great potential in healing acid-burn wounds

Indexed as

BurnsTamaricaceaeAnimalsEmollientsPlant ExtractsRabbitsSilver SulfadiazineWound HealingEmollientsPlant ExtractsSilver Sulfadiazinecreamnanoemulsionskin regenerationTamarix aphyllawound healing

Identifiers

PMID36676658
PMCPMC9863468

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.