Evidence map›Paper›PMID 36650874›Full record

ArticleOpen veterinary journal

Common diseases of sheep (

Myassar Alekish, Zuhair Bani Ismail

Open access · goldAbstract read
In one paragraph

Article in Open veterinary journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 1 institution in 1 country.

Myassar AlekishDepartment of Veterinary Clinical Sciences, Jordan University of Science and Technology, Irbid, Jordan.
Zuhair Bani IsmailDepartment of Veterinary Clinical Sciences, Jordan University of Science and Technology, Irbid, Jordan.
Jordan University of Science and Technology · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite major efforts that have been undertaken to improve livestock health and productivity in Jordan, infectious and non-infectious diseases continue to cause significant economic losses. Aim: The objective of this study was to report the most common diseases (infectious and non-infectious) affecting sheep ( Methods: Data related to sheep and goats presented for clinical evaluation to the Veterinary Health Center of the Faculty of Veterinary Medicine at Jordan University of Science and Technology between January 2015 and December 2021 extracted from the case medical records were used in this study. The data were entered into Microsoft Excel spreadsheets and descriptive analysis was performed to report the frequencies, averages, and range values. The data were categorized according to sex (female Results: Medical records of 187 goats and 434 sheep were included in the analysis of this study. Females were significantly more represented in the study population for goats and sheep, 87.70% and 84.10%, respectively. The age of animals ranged between 1 day and 9 years in goats and 1 day and 7 years in sheep. In both goats and sheep, a significant number of cases ( Conclusion: Results of this study provide a list of the most likely differential diagnoses in different age groups of both sexes in goats and sheep in Jordan. This information could be used by veterinarians as well as policymakers in order to formulate and implement appropriate and effective preventive and control measures against common diseases in goats and sheep.

Indexed as

Goat DiseasesGoatsSheep DiseasesSheep, DomesticAnimalsFemaleJordanLivestockMaleRetrospective StudiesSheepAnimal health and productionAnimal welfareDisease diagnosisSmall ruminants

Identifiers

PMID36650874
PMCPMC9805756
OpenAlexW4312953099

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.