Evidence map›Paper›PMID 34576711›Full record

ArticleMicroorganisms2021

Bayesian Estimation of the Prevalence and Test Characteristics (Sensitivity and Specificity) of Two Serological Tests (RB and SAT-EDTA) for the Diagnosis of Bovine Brucellosis in Small and Medium Cattle Holders in Ecuador.

Valeria Paucar, Jorge Ron-Román, Washington Benítez-Ortiz, Maritza Celi, Dirk Berkvens, Claude Saegerman, Lenin Ron-Garrido

Abstract read
In one paragraph

Article in Microorganisms, 2021. 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.

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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

7 authors.

Valeria PaucarCentro Internacional del Zoonosis (CIZ), Universidad Central del Ecuador, Quito 170521, Ecuador.
Jorge Ron-RománGrupo de Investigación en Sanidad Animal y Humana (GISAH), Carrera Ingeniería Agropecuaria, Departamento de Ciencias de la Vida y la Agricultura, Universidad de las Fuerzas Armadas ESPE, Sangolquí 171103, Ecuador.
Washington Benítez-OrtizCentro Internacional del Zoonosis (CIZ), Universidad Central del Ecuador, Quito 170521, Ecuador.
Maritza CeliCentro Internacional del Zoonosis (CIZ), Universidad Central del Ecuador, Quito 170521, Ecuador.
Dirk BerkvensDepartment of Biomedical Sciences, Institute of Tropical Medicine, 2180 Antwerp, Belgium.
Claude SaegermanResearch Unit of Epidemiology and Risk Analysis Applied to Veterinary Science (UREAR-ULg), Fundamental and Applied Research for Animals & Health (FARAH) Center, Faculty of Veterinary Medicine, University of Liege, 4000 Liège, Belgium.ORCID 0000-0001-9087-7436
Lenin Ron-GarridoCentro Internacional del Zoonosis (CIZ), Universidad Central del Ecuador, Quito 170521, Ecuador.

Funding

Belgian Development CooperationCentral University of EcuadorMinistry of Agriculture and Livestock of Ecuador
6 · The paper itself

Abstract

In Ecuador, a national program for bovine brucellosis control has been in implementation since 2008. Given the costs, small- and medium-sized livestock holders are not completely committed to it. The objective of this study was to determine true prevalence (TP) of bovine brucellosis in small- and medium-sized herd populations, as well as the diagnostic sensitivity and specificity of the Rose Bengal (RB) test and the sero-agglutination test (SAT)-EDTA using a Bayesian approach. Between 2011 and 2016, 2733 cattle herds were visited, and 22,592 animal blood samples were taken in nineteen provinces on mainland Ecuador. Bayes-

Indexed as

Bayesbovinebrucellosisdiagnosismodellingsensitivityspecificitytrue prevalence

Identifiers

PMID34576711
PMCPMC8465933

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.