Evidence map›Paper›PMID 24740073›Full record

ArticleJournal of clinical microbiology2014

A quality control program within a clinical trial Consortium for PCR protocols to detect Plasmodium species.

Steve M Taylor, Alfredo Mayor, Ghyslain Mombo-Ngoma, Hilaire M Kenguele, Smaïla Ouédraogo, Nicaise Tuikue Ndam, Happy Mkali, Grace Mwangoka, Neena Valecha, Jai Prakash Narayan Singh and 14 more

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–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

24 citing papers in PubMed.

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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

24 authors.

Steve M TaylorDivision of Infectious Diseases and International Health, Duke University Medical Center, Durham, North Carolina, USA Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA steve.taylor@duke.edu.
Alfredo MayorBarcelona Centre for International Health Research, Barcelona, Catalonia, Spain Centro de Investigação em Saúde de Manhiça, Maputo, Mozambique'
Ghyslain Mombo-NgomaCentre de Recherches Médicales de Lambaréné, Lambaréné, Gabon Département de Parasitologie, Université des Sciences de la Santé, Libreville, Gabon Ngounié Medical Research Centre, Fougamou, Gabon Institute for Tropical Medicine, University of Tubingen, Tubingen, Germany.
Hilaire M KengueleCentre de Recherches Médicales de Lambaréné, Lambaréné, Gabon Département de Biologie, Université des Sciences et Techniques de Masuku, Franceville, Gabon.
Smaïla OuédraogoLaboratoire de Parasitologie, Faculté des Sciences de la Santé, Cotonou, Benin Centre Hospitalier Universitaire Yalgado Ouédraogo, Ouagadougou, Burkina Faso Département de Santé Publique, Unité de Formation et de Recherche en Sciences de la Santé, Université de Ouagadougou, Ouagadougou, Burkina Faso.
Nicaise Tuikue NdamInstitut de Recherche pour le Développement, Faculté des Sciences Biologiques et Pharmaceutiques, Paris, France Centre d'Etude et de Recherche sur le Paludisme associé à la Grossesse et à l'Enfance, Faculté des Science de Santé, Université d'Abomey-Calavi, Cotonou, Benin.
Happy MkaliIfakara Health Institute, Bagamoyo, Tanzania.
Grace MwangokaIfakara Health Institute, Bagamoyo, Tanzania.
Neena ValechaNational Institute of Malaria Research, Dwarka, New Delhi, India.
Jai Prakash Narayan SinghNational Institute of Malaria Research, Dwarka, New Delhi, India.
Martha A ClarkDepartment of Microbiology and Immunology, University of North Carolina, Chapel Hill, North Carolina, USA.
Jaco J VerweijDepartment of Parasitology, Leiden University Medical Center, Leiden, The Netherlands.
Ayola Akim AdegnikaCentre de Recherches Médicales de Lambaréné, Lambaréné, Gabon Institute for Tropical Medicine, University of Tubingen, Tubingen, Germany.
Carlo SeveriniDepartment of Infectious, Parasitic and Immunomediated Diseases, Istituto Superiore di Sanità, Rome, Italy.
Michela MenegonDepartment of Infectious, Parasitic and Immunomediated Diseases, Istituto Superiore di Sanità, Rome, Italy.
Eusebio MaceteCentro de Investigação em Saúde de Manhiça, Maputo, Mozambique'
Clara MenendezBarcelona Centre for International Health Research, Barcelona, Catalonia, Spain Centro de Investigação em Saúde de Manhiça, Maputo, Mozambique'
Pau CisteróBarcelona Centre for International Health Research, Barcelona, Catalonia, Spain.
Fanta NjieMedical Research Council Laboratories, Banjul, Gambia.
Muna AffaraMedical Research Council Laboratories, Banjul, Gambia.
Kephas OtienoKenya Medical Research Institute/Centers for Disease Control and Prevention, Kisumu, Kenya.
Simon KariukiKenya Medical Research Institute/Centers for Disease Control and Prevention, Kisumu, Kenya.
Feiko O ter KuileMalaria Epidemiology Unit, Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
Steven R MeshnickDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA.

Funding

Medical Research Council MC_UP_A900_1117
6 · The paper itself

Abstract

Malaria parasite infections that are only detectable by molecular methods are highly prevalent and represent a potential transmission reservoir. The methods used to detect these infections are not standardized, and their operating characteristics are often unknown. We designed a proficiency panel of Plasmodium spp. in order to compare the accuracy of parasite detection of molecular protocols used by labs in a clinical trial consortium. Ten dried blood spots (DBSs) were assembled that contained P. falciparum, P. vivax, P. malariae, and P. ovale; DBSs contained either a single species or a species mixed with P. falciparum. DBS panels were tested in 9 participating laboratories in a masked fashion. Of 90 tests, 68 (75.6%) were correct; there were 20 false-negative results and 2 false positives. The detection rate was 77.8% (49/63) for P. falciparum, 91.7% (11/12) for P. vivax, 83.3% (10/12) for P. malariae, and 70% (7/10) for P. ovale. Most false-negative P. falciparum results were from samples with an estimated ≤ 5 parasites per μl of blood. Between labs, accuracy ranged from 100% to 50%. In one lab, the inability to detect species in mixed-species infections prompted a redesign and improvement of the assay. Most PCR-based protocols were able to detect P. falciparum and P. vivax at higher densities, but these assays may not reliably detect parasites in samples with low P. falciparum densities. Accordingly, formal quality assurance for PCR should be employed whenever this method is used for diagnosis or surveillance. Such efforts will be important if PCR is to be widely employed to assist malaria elimination efforts.

Indexed as

Laboratory Proficiency TestingBiomedical ResearchFalse Negative ReactionsHumansMalariaMolecular Diagnostic TechniquesPlasmodiumPolymerase Chain ReactionQuality ControlSensitivity and Specificity

Identifiers

PMID24740073
PMCPMC4042732

What OpenQuestion holds

Textmetadata
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.