Evidence map›Paper›PMID 36090167›Full record

ArticleFrontiers in veterinary science2022

Noura Alkhalefa, Samy Khaliel, Abdelnaby Tahoon, Hanan Shaban, Asmaa Magouz, Hanaa Ghabban, Maha S Lokman, Ehab Kotb Elmahallawy

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 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
2.2field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Bee products as alternatives in the treatment of viral infections.Journal of the science of food and agriculture · 2026
    Review
  3. Article
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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

8 authors at 5 institutions in 2 countries.

Noura AlkhalefaDepartment of Virology, Faculty of Veterinary Medicine, Kafrelsheik University, Kafr El-Sheikh, Egypt.
Samy KhalielDepartment of Microbiology, Faculty of Veterinary Medicine, Alexandria University, Alexandria, Egypt.
Abdelnaby TahoonAnimal Health Research Institute, Kafrelsheik Lab, Agriculture Research Center (ARC), Giza, Egypt.
Hanan ShabanAnimal Health Research Institute, Kafrelsheik Lab, Agriculture Research Center (ARC), Giza, Egypt.
Asmaa MagouzDepartment of Virology, Faculty of Veterinary Medicine, Kafrelsheik University, Kafr El-Sheikh, Egypt.
Hanaa GhabbanDepartment of Biology, Faculty of Science, Tabuk University, Tabuk, Saudi Arabia.
Maha S LokmanDepartment of Biology, College of Science and Humanities in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
Ehab Kotb ElmahallawyDepartment of Zoonoses, Faculty of Veterinary Medicine, Sohag University, Sohag, Egypt.
Kafrelsheikh University · EGAlexandria University · EGPrince Sattam Bin Abdulaziz University · SASohag University · EGUniversity of Tabuk · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Newcastle disease virus (NDV) is considered a serious threat to global poultry production. Despite the availability of vaccines, it remains a major devastating epidemic responsible for great economic losses. The development of novel virus-controlling strategies is therefore an urgent need. The present study investigated for the first time the antiviral efficacy of propolis and chitosan nanoparticles against two NDV isolates, MW881875 and MW881876, recovered from vaccinated commercial broiler farms in KafrEl Sheikh Governorate, Egypt. The polygenetic analysis focused on the

Indexed as

antiviral activitychitosan nanoparticleNDVpropolisVII

Identifiers

PMID36090167
PMCPMC9453155
OpenAlexW4293230880

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.