Evidence map›Paper›PMID 31457019›Full record

ArticleFrontiers in veterinary science2019

Modeling the Accuracy of Two

Catalina Picasso-Risso, Andres Perez, Andres Gil, Alvaro Nunez, Ximena Salaberry, Alejandra Suanes, Julio Alvarez

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. An ELISA test using a circulatingFrontiers in veterinary science · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Frontiers in veterinary science · 2020
    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

7 authors at 4 institutions in 3 countries.

Catalina Picasso-RissoDepartment of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN, United States.
Andres PerezDepartment of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN, United States.
Andres GilFacultad de Veterinaria, Universidad de la Republica, Montevideo, Uruguay.
Alvaro NunezDivisión Laboratorios Veterinarios "Miguel C. Rubino", Ministerio de Ganadería, Agricultura y Pesca, Montevideo, Uruguay.
Ximena SalaberryDivisión Laboratorios Veterinarios "Miguel C. Rubino", Ministerio de Ganadería, Agricultura y Pesca, Montevideo, Uruguay.
Alejandra SuanesDivisión Laboratorios Veterinarios "Miguel C. Rubino", Ministerio de Ganadería, Agricultura y Pesca, Montevideo, Uruguay.
Julio AlvarezVISAVET Health Surveillance Centre, Universidad Complutense, Madrid, Spain.
Ministerio de Ganadería Agricultura y Pesca · UYUniversidad de la República · UYUniversidad Complutense de Madrid · ESUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accuracy of new or alternative diagnostic tests is typically estimated in relation to a well-standardized reference test referred to as a gold standard. However, for bovine tuberculosis (bTB), a chronic disease of cattle, affecting animal and public health, no reliable gold standard is available. In this context, latent-class models implemented using a Bayesian approach can help to assess the accuracy of diagnostic tests incorporating previous knowledge on test performance and disease prevalence. In Uruguay, bTB-prevalence has increased in the past decades partially because of the limited accuracy of the diagnostic strategy in place, based on intradermal testing (caudal fold test, CFT, for screening and comparative cervical test, CCT, for confirmation) and slaughter of reactors. Here, we evaluated the performance of two alternative bTB-diagnostic tools, the interferon-gamma assay, IGRA, and the enzyme-linked immunosorbent assay (ELISA), which had never been used in Uruguay in the absence of a gold standard. In order to do so animals from two heavily infected dairy herds and tested with CFT-CCT were also analyzed with the IGRA using two antigens (study 1) and the ELISA (study 2). The accuracy of the IGRA and ELISA was assessed fitting two latent-class models: a two test-one population model (LCA-a) based on the analysis of CFT/CFT-CCT test results and one

Indexed as

chronically infecteddiagnosiselisainterferon-gamma release assaylatent class analysisUruguay

Identifiers

PMID31457019
PMCPMC6701407
OpenAlexW2966706499

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.