Evidence map›Paper›PMID 34078417›Full record

ArticleParasites & vectors2021

Seropositivity to canine tick-borne pathogens in a population of sick dogs in Italy.

Jairo Alfonso Mendoza-Roldan, Giovanni Benelli, Marcos Antonio Bezerra-Santos, Viet-Linh Nguyen, Giuseppe Conte, Roberta Iatta, Tommaso Furlanello, Domenico Otranto

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

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  9. Prevalence ofVeterinary world · 2022
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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

8 authors at 4 institutions in 2 countries.

Jairo Alfonso Mendoza-RoldanDepartment of Veterinary Medicine, University of Bari, Valenzano, 70010, Bari, Italy.
Giovanni BenelliDepartment of Agriculture, Food and Environment, University of Pisa, Pisa, Italy.
Marcos Antonio Bezerra-SantosDepartment of Veterinary Medicine, University of Bari, Valenzano, 70010, Bari, Italy.
Viet-Linh NguyenDepartment of Veterinary Medicine, University of Bari, Valenzano, 70010, Bari, Italy.
Giuseppe ConteDepartment of Agriculture, Food and Environment, University of Pisa, Pisa, Italy.
Roberta IattaDepartment of Veterinary Medicine, University of Bari, Valenzano, 70010, Bari, Italy.
Tommaso FurlanelloSan Marco Veterinary Clinic and Laboratory, Veggiano, Padova, Italy.
Domenico OtrantoDepartment of Veterinary Medicine, University of Bari, Valenzano, 70010, Bari, Italy. domenico.otranto@uniba.it.ORCID http://orcid.org/0000-0002-7518-476X
University of Bari Aldo Moro · ITUniversity of Pisa · ITBu-Ali Sina University · IRVeterinary Oncological Center · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCanine vector-borne diseases (CVBDs) associated to ticks are among the most important health issues affecting dogs. In Italy, Ehrlichia canis, Anaplasma spp., Rickettsia conorii and Borrelia burgdorferi (s.l.) have been studied in both healthy canine populations and those clinically ill with suspected CVBDs. However, little information is currently available on the overall prevalence and distribution of these pathogens in the country. The aim of this study was to assess the prevalence and distribution of tick-borne pathogens (TBPs) in clinically suspect dogs from three Italian macro areas during a 15-year period (2006-2020).

methodsA large dataset (n = 21,992) of serological test results for selected TBPs in three macro areas in Italy was analysed using a Chi-square test to evaluate the associations between the categorical factors (i.e. macro area, region, year, sex and age) and a standard logistic regression model (significance set at P = 0.05). Serological data were presented as annual and cumulative prevalence, and distribution maps of cumulative positive cases for TBPs were generated.

resultsOf the tested serum samples, 86.9% originated from northern (43.9%) and central (43%) Italy. The majority of the tests was requested for the diagnosis of E. canis (47%; n = 10,334), followed by Rickettsia spp. (35.1%; n = 7725), B. burgdorferi (s.l.) (11.6%; n = 2560) and Anaplasma spp. (6.2%; n = 1373). The highest serological exposure was recorded for B. burgdorferi (s.l.) (83.5%), followed by Rickettsia spp. (64.9%), Anaplasma spp. (39.8%) and E. canis (28.7%). The highest number of cumulative cases of Borrelia burgdorferi (s.l.) was recorded in samples from Tuscany, central Italy. Rickettsia spp. was more prevalent in the south and on the islands, particularly in dogs on Sicily older than 6 years, whereas Anaplasma spp. was more prevalent in the north and E. canis more prevalent in the south and on the islands.

conclusionsThe results of this study highlight the high seroprevalence and wide distribution of the four TBPs in dogs with clinically suspected CVBDs from the studied regions of Italy. The very high seroprevalence of B. burgdorferi (s.l.) exemplifies a limitation of this study, given the use of clinically suspect dogs and the possibility of cross-reactions when using serological tests. The present research provides updated and illustrative information on the seroprevalence and distribution of four key TBPs, and advocates for integrative control strategies for their prevention.

Indexed as

AnimalsAntibodies, BacterialBacteriaBacterial ZoonosesDog DiseasesDogsFemaleMaleParasitesParasitic Diseases, AnimalPrevalenceSeroepidemiologic StudiesSicilyTick-Borne DiseasesTicksAntibodies, BacterialAnaplasma phagocytophilumBorrelia burgdorferiEhrlichia canisRickettsia conoriiSerological testVector-borne diseases

Identifiers

PMID34078417
PMCPMC8171035
OpenAlexW3164341954

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.