Evidence map›Paper›PMID 40072965›Full record

ArticlePloS one2025

What is the value of testing for tick-borne diseases in cattle in endemic areas? A case study of bovine anaplasmosis.

Valeria Paucar-Quishpe, Dirk Berkvens, Ximena Pérez-Otáñez, Richar Rodríguez-Hidalgo, Darío Cepeda-Bastidas, Cecilia Perez, Yadira Guasumba, Daniela Balseca, Kamilo Villareal, María-Augusta Chávez-Larrea and 5 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

15 authors.

Valeria Paucar-QuishpeResearch Unit of Epidemiology and Risk Analysis applied to Veterinary Science (UREAR-ULiège), Fundamental and Applied Research for Animals & Health (FARAH) Center/Faculty of Veterinary Medicine, University of Liege, Liège, Belgium.
Dirk BerkvensDepartment of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
Ximena Pérez-OtáñezInstituto de Investigación en Zoonosis (CIZ), Universidad Central del Ecuador, Quito, Ecuador.
Richar Rodríguez-HidalgoInstituto de Investigación en Zoonosis (CIZ), Universidad Central del Ecuador, Quito, Ecuador.
Darío Cepeda-BastidasFacultad de Ciencias Agrícolas, Universidad Central del Ecuador, Quito, Ecuador.ORCID https://orcid.org/0000-0002-2527-0969
Cecilia PerezFacultad de Medicina Veterinaria y Zootecnia, Universidad Central del Ecuador, Quito, Ecuador.ORCID https://orcid.org/0000-0002-2426-2262
Yadira GuasumbaInstituto de Investigación en Zoonosis (CIZ), Universidad Central del Ecuador, Quito, Ecuador.
Daniela BalsecaFacultad de Medicina Veterinaria y Zootecnia, Universidad Central del Ecuador, Quito, Ecuador.
Kamilo VillarealFacultad de Ciencias Químicas, Universidad Central del Ecuador. Quito, Ecuador.
María-Augusta Chávez-LarreaResearch Unit of Epidemiology and Risk Analysis applied to Veterinary Science (UREAR-ULiège), Fundamental and Applied Research for Animals & Health (FARAH) Center/Faculty of Veterinary Medicine, University of Liege, Liège, Belgium.
Sandra EnríquezInstituto de Investigación en Zoonosis (CIZ), Universidad Central del Ecuador, Quito, Ecuador.
Jorge GrijalvaFacultad de Medicina Veterinaria y Zootecnia, Universidad Central del Ecuador, Quito, Ecuador.
Sophie O VanwambekeGeorges Lemaitre Centre for Earth and Climate Research, Earth & Life Institute, UCLouvain, Louvain-la-Neuve, Belgium.
Claude SaegermanResearch Unit of Epidemiology and Risk Analysis applied to Veterinary Science (UREAR-ULiège), Fundamental and Applied Research for Animals & Health (FARAH) Center/Faculty of Veterinary Medicine, University of Liege, Liège, Belgium.ORCID https://orcid.org/0000-0001-9087-7436
Lenin Ron-GarridoInstituto de Investigación en Zoonosis (CIZ), Universidad Central del Ecuador, Quito, Ecuador.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anaplasmosis is a tick-borne disease (TBDs) caused by Anaplasma spp. In areas where TBDs are endemic, it is crucial to consider the animals' immunological status in relation to these diseases. The true prevalence of bovine anaplasmosis, the percentage of animals with protective antibodies against this TBD, and the diagnostic characteristics of three tests (multiplex polymerase chain reaction (mPCR), competitive-inhibition enzyme-linked immunosorbent assay (cELISA), and blood smear (BS)) were estimated using a Bayesian approach. A total of 620 samples were collected in two subtropical areas of Ecuador. A significant finding of this study is that approximately 70% of cattle in those endemic areas harbored protective antibodies against Anaplasma marginale. This elevated percentage may stem from persistent exposure with a high pathogen prevalence in ticks. The decline in cELISA specificity must be attributed to cross-reactivity with protective antibodies against Anaplasma spp. It is crucial to interpret this test outcome alongside exposure history and clinical manifestations. The elevated apparent prevalence detected by cELISA and BS should be contextualized with mPCR results. The high seroprevalence and infrequent clinical outbreaks suggest that the pathogen has achieved endemic stability. This study provides valuable insights into the dynamics of anaplasmosis in endemic areas and may serve as a foundation for devising TBDs control strategies in these areas.

Indexed as

AnaplasmosisCattle DiseasesEndemic DiseasesTick-Borne DiseasesAnaplasmaAnaplasma marginaleAnimalsAntibodies, BacterialBayes TheoremCattleEcuadorEnzyme-Linked Immunosorbent AssayPrevalenceSeroepidemiologic StudiesTicksAntibodies, Bacterial

Identifiers

PMID40072965
PMCPMC12338951

What OpenQuestion holds

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LicenceCC BY
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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.