Evidence map›Paper›PMID 25089629›Full record

ArticlePloS one2014

Factors associated with the seroprevalence of leishmaniasis in dogs living around Atlantic Forest fragments.

Nelson Henrique de Almeida Curi, Ana Maria de Oliveira Paschoal, Rodrigo Lima Massara, Andreza Pain Marcelino, Adriana Aparecida Ribeiro, Marcelo Passamani, Guilherme Ramos Demétrio, Adriano Garcia Chiarello

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

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

  1. Pooled it
  2. Article
  3. Seroprevalence, clinical investigation, and risk factors associated withJournal of parasitic diseases : official organ of the Indian Society for Parasitology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

8 authors.

Nelson Henrique de Almeida CuriPostgraduate program in Applied Ecology, Department of Biology, Federal University of Lavras, Lavras, Brazil.
Ana Maria de Oliveira PaschoalPostgraduate program in Ecology, Conservation and Management of Wildlife, Department of Biology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Rodrigo Lima MassaraPostgraduate program in Ecology, Conservation and Management of Wildlife, Department of Biology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Andreza Pain MarcelinoLaboratory of Leishmaniasis, Ezequiel Dias Foundation-FUNED, Belo Horizonte, Brazil.
Adriana Aparecida RibeiroLaboratory of Leishmaniasis, Ezequiel Dias Foundation-FUNED, Belo Horizonte, Brazil.
Marcelo PassamaniPostgraduate program in Applied Ecology, Department of Biology, Federal University of Lavras, Lavras, Brazil.
Guilherme Ramos DemétrioPostgraduate program in Applied Ecology, Department of Biology, Federal University of Lavras, Lavras, Brazil.
Adriano Garcia ChiarelloDepartment of Biology, University of São Paulo, Ribeirão Preto, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Canine visceral leishmaniasis is an important zoonosis in Brazil. However, infection patterns are unknown in some scenarios such as rural settlements around Atlantic Forest fragments. Additionally, controversy remains over risk factors, and most identified patterns of infection in dogs have been found in urban areas. We conducted a cross-sectional epidemiological survey to assess the prevalence of leishmaniasis in dogs through three different serological tests, and interviews with owners to assess features of dogs and households around five Atlantic Forest remnants in southeastern Brazil. We used Generalized Linear Mixed Models and Chi-square tests to detect associations between prevalence and variables that might influence Leishmania infection, and a nearest neighbor dispersion analysis to assess clustering in the spatial distribution of seropositive dogs. Our findings showed an average prevalence of 20% (ranging from 10 to 32%) in dogs. Nearly 40% (ranging from 22 to 55%) of households had at least one seropositive dog. Some individual traits of dogs (height, sterilization, long fur, age class) were found to positively influence the prevalence, while some had negative influence (weight, body score, presence of ectoparasites). Environmental and management features (number of cats in the households, dogs with free-ranging behavior) also entered models as negative associations with seropositivity. Strong and consistent negative (protective) influences of the presence of chickens and pigs in dog seropositivity were detected. Spatial clustering of cases was detected in only one of the five study sites. The results showed that different risk factors than those found in urban areas may drive the prevalence of canine leishmaniasis in farm/forest interfaces, and that humans and wildlife risk infection in these areas. Domestic dog population limitation by gonadectomy, legal restriction of dog numbers per household and owner education are of the greatest importance for the control of visceral leishmaniasis in rural zones near forest fragments.

Indexed as

AnimalsAntibodies, ProtozoanBrazilCatsChickensCross-Sectional StudiesDog DiseasesDogsEpidemiological MonitoringFamily CharacteristicsFemaleForestsHumansLeishmania infantumLeishmaniasis, VisceralLinear ModelsAntibodies, Protozoan

Identifiers

PMID25089629
PMCPMC4121198

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.