Evidence map›Paper›PMID 32348406›Full record

ArticleMemorias do Instituto Oswaldo Cruz2020

A cross-sectional approach including dog owner characteristics as predictors of visceral leishmaniasis infection in dogs.

Ana Izabel Passarella Teixeira, Debora Marcolino Silva, Lúcia Rolim Santana de Freitas, Gustavo Adolfo Sierra Romero

Abstract read
In one paragraph

Article in Memorias do Instituto Oswaldo Cruz, 2020. 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
–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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

4 authors.

Ana Izabel Passarella TeixeiraUniversidade de Brasília, Faculdade de Medicina, Núcleo de Medicina Tropical, Brasília, DF, Brasil.
Debora Marcolino SilvaUniversidade de Brasília, Faculdade de Medicina, Núcleo de Medicina Tropical, Brasília, DF, Brasil.
Lúcia Rolim Santana de FreitasMinistério da Saúde, Secretaria de Vigilância Epidemiológica, Brasília, DF, Brasil.
Gustavo Adolfo Sierra RomeroUniversidade de Brasília, Faculdade de Medicina, Núcleo de Medicina Tropical, Brasília, DF, Brasil.ORCID http://orcid.org/0000-0003-1425-926X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVisceral leishmaniasis (VL) is relevant for human and animal public health. Several factors have been associated with the risk of Leishmania infantum infection in dogs. However, dog owner characteristics have been rarely explored.

objectivesTo estimate the prevalence and to identify the associated factors for VL infection including dog owners characteristics.

methodsA cross-sectional study was conducted including dogs from an endemic canine visceral leishmaniasis (CVL) region in the Federal District, Brazil. The infection was detected using parasitological, serological, and molecular methods. The associated factors were identified through Poisson regression modelling.

findingsThe prevalence of infection was 26.25% [95% confidence interval (CI): 20.05 to 33.57]. The associated factors were: short coat prevalence ratio (PR) = 2.33 (95% CI: 1.02 to 5.22); presence of backyard with predominance of soil and/or vegetation PR = 4.15 (95% CI: 1.35 to 12.77); and highest gross family income score PR = 2.03 (95% CI: 1.16 to 3.54). MAIN

conclusionThis is the first study that relates higher socioeconomic status of dog owners as an independent factor associated with higher prevalence of VL infection, along with other strongly associated factors related to receptive environment for phlebotomines. Our findings strengthen the need for exploration of the biological and behavioural bases linking dog owner characteristics to the risk of canine infection in prospective cohort studies.

Indexed as

AnimalsBrazilCross-Sectional StudiesDog DiseasesDogsEnzyme-Linked Immunosorbent AssayFemaleHumansLeishmaniasis, VisceralMalePrevalenceProspective StudiesRisk FactorsSocioeconomic Factors

Identifiers

PMID32348406
PMCPMC7184770

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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.