Evidence map›Paper›PMID 35312896›Full record

ArticleAMB Express2022

Evaluation of lyophilized royal jelly and garlic extract emulgels using a murine model infected with methicillin-resistant Staphylococcus aureus.

Mona H El-Gayar, Rania A H Ishak, Ahmed Esmat, Mohammad M Aboulwafa, Khaled M Aboshanab

Abstract read
In one paragraph

Article in AMB Express, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Royal Jelly: Biological Action and Health Benefits.International journal of molecular sciences · 2024
    Review
  4. Article
  5. 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

5 authors.

Mona H El-GayarDepartment of Microbiology & Immunology, Faculty of Pharmacy, Ain Shams University, Organization of African Unity St., Abbassia, Cairo, 11566, Egypt.
Rania A H IshakDepartment of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, 11566, Egypt.
Ahmed EsmatDepartment of Pharmacology and Toxicology, Faculty of Pharmacy, Ain Shams University, Cairo, 11566, Egypt.
Mohammad M AboulwafaDepartment of Microbiology & Immunology, Faculty of Pharmacy, Ain Shams University, Organization of African Unity St., Abbassia, Cairo, 11566, Egypt.
Khaled M AboshanabDepartment of Microbiology & Immunology, Faculty of Pharmacy, Ain Shams University, Organization of African Unity St., Abbassia, Cairo, 11566, Egypt. aboshanab2012@pharma.asu.edu.eg.ORCID http://orcid.org/0000-0002-7608-850X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The limited therapeutic options associated with methicillin-resistant Staphylococcus aureus (MRSA) necessitate search for innovative strategies particularly, use of natural extracts such as lyophilized royal jelly (LRJ) and garlic extract (GE). Therefore, out study aimed to formulate emulgels containing different concentrations of both LRJ and GE and to evaluate their activities using a murine model infected with MRSA clinical isolate. Four plain emulgel formulas were prepared by mixing stearic acid/yellow soft paraffin-based O/W emulsion formulae based on Carbopol 940, Na alginate, Na carboxymethylcellulose or Hydroxypropyl methyl cellulose E4. Sodium alginate-based emulgel was selected for preparation of four medicated emulgel formulations combining LRJ and GE at four different concentrations. The selected medicated emulgels were used for the in vivo studies. The emulgel formulated with Na alginate and HPMC (MF

Indexed as

EmulgelsGarlic extractIn-vivoLyophilized royal jellyMRSA

Identifiers

PMID35312896
PMCPMC8938573

What OpenQuestion holds

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Registered trials

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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.