Evidence map›Paper›PMID 26555553›Full record

ArticleMalaria journal2015

Frequency and distribution of mixed Plasmodium falciparum-vivax infections in French Guiana between 2000 and 2008.

Marine Ginouves, Vincent Veron, Lise Musset, Eric Legrand, Aurélia Stefani, Ghislaine Prevot, Magalie Demar, Félix Djossou, Paul Brousse, Mathieu Nacher and 1 more

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

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  8. Spatiotemporal Clustering Analysis of Malaria Infection in Pakistan.International journal of environmental research and public health · 2018
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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

11 authors at 3 institutions in 1 country.

Marine GinouvesMedicine Department, Ecosystemes Amazoniens et Pathologie Tropicale, EA 3593, Labex CEBA, University of French Guiana, Cayenne, French Guiana. marine.ginouves@univ-guyane.fr.
Vincent VeronMedicine Department, Ecosystemes Amazoniens et Pathologie Tropicale, EA 3593, Labex CEBA, University of French Guiana, Cayenne, French Guiana. Vincent.Veron@st-pee.inra.fr.
Lise MussetLaboratoire de Parasitologie, Centre Collaborateur OMS pour la surveillance de la résistance aux antipaludiques, CNR du Paludisme, Institut Pasteur de la Guyane, Cayenne, French Guiana. lmusset@pasteur-cayenne.fr.
Eric LegrandLaboratoire de Parasitologie, Centre Collaborateur OMS pour la surveillance de la résistance aux antipaludiques, CNR du Paludisme, Institut Pasteur de la Guyane, Cayenne, French Guiana. eric.legrand@pasteur.fr.
Aurélia StefaniMedicine Department, Ecosystemes Amazoniens et Pathologie Tropicale, EA 3593, Labex CEBA, University of French Guiana, Cayenne, French Guiana. aurelia.stefani@gmail.com.
Ghislaine PrevotMedicine Department, Ecosystemes Amazoniens et Pathologie Tropicale, EA 3593, Labex CEBA, University of French Guiana, Cayenne, French Guiana. fac.prevot@gmail.com.
Magalie DemarMedicine Department, Ecosystemes Amazoniens et Pathologie Tropicale, EA 3593, Labex CEBA, University of French Guiana, Cayenne, French Guiana. magalie.demar@ch-cayenne.fr.
Félix DjossouUnité des Maladies Infectieuses et Tropicales, Centre Hospitalier de Cayenne, Cayenne, French Guiana. felix.djossou@ch-cayenne.fr.
Paul BroussePôle des Centres Délocalisés de Prévention et de Soins, Centre Hospitalier de Cayenne, Cayenne, French Guiana. paul.brousse@ch-cayenne.fr.
Mathieu NacherMedicine Department, Ecosystemes Amazoniens et Pathologie Tropicale, EA 3593, Labex CEBA, University of French Guiana, Cayenne, French Guiana. mathieu.nacher@ch-cayenne.fr.
Bernard CarmeMedicine Department, Ecosystemes Amazoniens et Pathologie Tropicale, EA 3593, Labex CEBA, University of French Guiana, Cayenne, French Guiana. carme.bernard@wanadoo.fr.
University of French Guiana · GFCentre Hospitalier Andrée Rosemon · GFInstitut Pasteur de la Guyane · GF

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe two main plasmodial species in French Guiana are Plasmodium vivax and Plasmodium falciparum whose respective prevalence influences the frequency of mixed plasmodial infections. The accuracy of their diagnosis is influenced by the sensitivity of the method used, whereas neither microscopy nor rapid diagnostic tests allow a satisfactory evaluation of mixed plasmodial infections.

methodsIn the present study, the frequency of mixed infections in different part of French Guiana was determined using real time PCR, a sensitive and specific technique.

resultsFrom 400 cases of malaria initially diagnosed by microscopy, real time PCR showed that 10.75 % of the cases were mixed infections. Their prevalence varied considerably between geographical areas. The presence, in equivalent proportions, of the two plasmodial species in eastern French Guiana was associated with a much higher prevalence of mixed plasmodial infections than in western French Guiana, where the majority of the population was Duffy negative and thus resistant to vivax malaria.

conclusionClinicians must be more vigilant regarding mixed infections in co-endemic P. falciparum/P. vivax areas, in order to deliver optimal care for patients suffering from malaria. This may involve the use of rapid diagnostic tests capable of detecting mixed infections or low density single infections. This is important as French Guiana moves towards malaria elimination.

Indexed as

CoinfectionFrench GuianaHumansMalaria, FalciparumMalaria, VivaxMicroscopyPlasmodium falciparumPlasmodium vivaxReal-Time Polymerase Chain Reaction

Identifiers

PMID26555553
PMCPMC4641342
OpenAlexW2117194448

What OpenQuestion holds

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LicenceCC BY
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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.