Evidence map›Paper›PMID 34234210›Full record

ArticleScientific reports2021

A recent update about seroprevalence of ovine neosporosis in Northern Egypt and its associated risk factors.

Abdelfattah Selim, Hanem Khater, Hamdan I Almohammed

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

26 citing papers in PubMed, 38 citations in OpenAlex.

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  4. Epidemiological study ofFrontiers in veterinary science · 2026
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  15. Seroprevalence ofVeterinary sciences · 2023
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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

3 authors at 2 institutions in 2 countries.

Abdelfattah SelimDepartment of Animal Medicine (Infectious Diseases), Faculty of Veterinary Medicine, Benha University, Toukh, 13736, Egypt. Abdelfattah.selim@fvtm.bu.edu.eg.
Hanem KhaterParasitology Department, Faculty of Veterinary Medicine, Benha University, Toukh, 13736, Egypt.
Hamdan I AlmohammedDepartment of Microbiology and Parasitology, Almaarefa University, Riyadh, 11597, Saudi Arabia.
Benha University · EGAlfaisal University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neospora caninum (Family: Sarcocystidae) is an obligate intracellular protozoan. It is one of the most critical abortifacients in ruminants. The seroprevalence of antibodies against N. caninum and its risk factors was investigated among 430 sheep from four North Egyptian governorates, Alexandria, Gharbia, Menofia, and Qalyubia, during the period from 2017 to 2018. Generally, the overall prevalence rate of N. caninum among sheep was 8.6%. The logistic regression analysis for the obtained data revealed that N. caninum increased significantly with age (OR = 2.4, 95% CI: 8.4-18.7) of the ewe (OR = 3.3, 95% CI: 7.6-14.9), particularly among sheep in contact with dogs (OR = 4.9, 95% CI: 7.5-14.3). Besides, locality, season, and pregnancy status of examined sheep had no significant effect on the appearance of N. caninum infection. the present findings confirm the presence of N. caninum among sheep in Egypt which probably play a role in reproductive failure in sheep. Therefore, sanitary measures and monitoring of the infection should be implemented to reduce the spreading of the infection.

Indexed as

NeosporaAnimalsCoccidiosisEgyptEnzyme-Linked Immunosorbent AssayMultivariate AnalysisPublic Health SurveillanceRisk AssessmentRisk FactorsRuminantsSeroepidemiologic StudiesSheepSheep Diseases

Identifiers

PMID34234210
PMCPMC8263615
OpenAlexW3181961357

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.