Evidence map›Paper›PMID 25793942›Full record

ArticlePloS one2015

Estimation of canine Leishmania infection prevalence in six cities of the Algerian littoral zone using a Bayesian approach.

Amel Adel, Emmanuel Abatih, Niko Speybroeck, Abdelkrim Soukehal, Rachid Bouguedour, Karim Boughalem, Abdelmalek Bouhbal, Mouloud Djerbal, Claude Saegerman, Dirk Berkvens

Abstract read
In one paragraph

Article in PloS one, 2015. 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

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.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

10 authors.

Amel AdelInstitute of Veterinary Sciences, University Saad Dahlab, Blida, Algeria; Institute of Tropical Medicine, Department of Biomedical Sciences, Nationalestraat 155, Antwerpen, Belgium; Research Unit of Epidemiology and Risk Analysis applied to Veterinary Science (UREAR-ULg), Fundamental and Applied Research for Animals & Health (FARAH), Faculty of Veterinary Medicine, University of Liège, Boulevard de Colonster 20 B42, Sart-Tilman Liège, Belgium.
Emmanuel AbatihInstitute of Tropical Medicine, Department of Biomedical Sciences, Nationalestraat 155, Antwerpen, Belgium.
Niko SpeybroeckUniversité Catholique de Louvain, IRSS-FSP, Clos Chapelle aux Champs 30, Bruxelles, Belgium.
Abdelkrim SoukehalUniversity Hospital of Beni Messous, Algiers, Algeria.
Rachid BouguedourOIE Sub-Regional Representation for North Africa, 17 Avenue d'Afrique, El Menzah V 2091, Tunis, Tunesia.
Karim BoughalemDirection des Services Vétérinaires, Ministère de l'Agriculture et du Développement Rural, 12 bd Colonel Amirouche, 16000 Algiers, Algeria.
Abdelmalek BouhbalDirection des Services Vétérinaires, Ministère de l'Agriculture et du Développement Rural, 12 bd Colonel Amirouche, 16000 Algiers, Algeria.
Mouloud DjerbalRegional Veterinary Laboratory of Draa-Ben-Kheda, Tizi-Ouzou, Algeria.
Claude SaegermanResearch Unit of Epidemiology and Risk Analysis applied to Veterinary Science (UREAR-ULg), Fundamental and Applied Research for Animals & Health (FARAH), Faculty of Veterinary Medicine, University of Liège, Boulevard de Colonster 20 B42, Sart-Tilman Liège, Belgium.
Dirk BerkvensInstitute of Tropical Medicine, Department of Biomedical Sciences, Nationalestraat 155, Antwerpen, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large-scale study on canine Leishmania infection (CanL) was conducted in six localities along a west-east transect in the Algerian littoral zone (Tlemcen, Mostaganem, Tipaza, Boumerdes, Bejaia, Jijel) and covering two sampling periods. In total 2,184 dogs were tested with an indirect fluorescent antibody test (IFAT) and a direct agglutination test (DAT). Combined multiple-testing and several statistical methods were compared to estimate the CanL true prevalence and tests characteristics (sensitivity and specificity). The Bayesian full model showed the best fit and yielded prevalence estimates between 11% (Mostaganem, first period) and 38% (Bejaia, second period). Sensitivity of IFAT varied (in function of locality) between 86% and 88% while its specificity varied between 65% and 87%. DAT was less sensitive than IFAT but showed a higher specificity (between 80% and 95% in function of locality or/and season). A general increasing trend of the CanL prevalence was noted from west to east. A concordance between the present results and the incidence of human cases of visceral leishmaniasis was observed, where also a maximum was recorded for Bejaia. The results of the present study highlight the dangers when using IFAT as a gold standard.

Indexed as

EcosystemAlgeriaAnimalsBayes TheoremCitiesConfidence IntervalsDog DiseasesDogsFluorescent Antibody Technique, DirectFluorescent Antibody Technique, IndirectGeographyLeishmaniasisModels, BiologicalPrevalence

Identifiers

PMID25793942
PMCPMC4368835

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.