Evidence map›Paper›PMID 35591876›Full record

ArticleVeterinary medicine (Auckland, N.Z.)2022

A Seroprevalence Study of Brucellosis in Boran (Zebu) Breeds of Pastoral Area.

Alebachew Tilahun, Silto Kegno, Takele Adugna, Dinberu Mamuye

Open access · goldAbstract read
In one paragraph

Article in Veterinary medicine (Auckland, N.Z.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
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

4 authors at 3 institutions in 1 country.

Alebachew TilahunUniversity of Gondar, College of Veterinary Medicine and Animal Science, Department of Veterinary Clinical Medicine, Gondar, Ethiopia.ORCID 0000-0003-1624-6606
Silto KegnoWolaita Sodo University, School of Veterinary Medicine, Sodo, Ethiopia.
Takele AdugnaUniversity of Gondar, College of Veterinary Medicine and Animal Science, Department of Veterinary Clinical Medicine, Gondar, Ethiopia.
Dinberu MamuyeDilla University, Dilla, Ethiopia.
University of Gondar · ETDilla University · ETWolaita Sodo University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The economic and health implications of brucellosis are of particular concern in developing countries, primarily in the vulnerable sector of rural herders. A cross-sectional study was done in Boran breeds to estimate the seroprevalence of bovine brucellosis, identify risk variables and assess public health implications in Borena zone, Oromia region, Ethiopia in the questionnaire survey. Methods: The sampling animals were chosen from smallholders using a simple random sampling procedure. The study involved a total of 788 animals. Animals of both sex and different age groups with the age of 6 months or above found during the study interval were included. The Rose Bengal plate test was used to screen sera, and positive samples were subsequently retested using a Direct Enzyme-Linked Immunosorbent Assay for confirmation. Results: The overall seroprevalence of bovine brucellosis was 7.6% (60/788) in the Direct Enzyme-Linked Immunosorbent Assay test. Herd size, age, history of abortion, testicular hygroma, and retained fetal membrane were statistical significance for the Conclusion: The presence of

Indexed as

Boran breedbovine brucellosisD-ELISARose Bengal plate testseroprevalence

Identifiers

PMID35591876
PMCPMC9113493
OpenAlexW4280619877

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.