Evidence map›Paper›PMID 24629020›Full record

ArticleMalaria journal2014

Validation of the ligase detection reaction fluorescent microsphere assay for the detection of Plasmodium falciparum resistance mediating polymorphisms in Uganda.

Sheila Nankoberanyi, George W Mbogo, Norbert P LeClair, Melissa D Conrad, Patrick Tumwebaze, Stephen Tukwasibwe, Moses R Kamya, Jordan Tappero, Samuel L Nsobya, Philip J Rosenthal

Open access · goldAbstract readValidation Study
In one paragraph

Article in Malaria journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  4. Diagnosing the drug resistance signature inJournal of parasitic diseases : official organ of the Indian Society for Parasitology · 2021
    Review
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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

10 authors at 4 institutions in 2 countries.

Sheila Nankoberanyi
George W Mbogo
Norbert P LeClair
Melissa D Conrad
Patrick Tumwebaze
Stephen Tukwasibwe
Moses R Kamya
Jordan Tappero
Samuel L Nsobya
Philip J RosenthalDepartment of Medicine, University of California, Box 0811, San Francisco, CA 94143, USA. prosenthal@medsfgh.ucsf.edu.
Infectious Diseases Research Collaboration · UGMakerere University · UGUniversity of California, San Francisco · USCenters for Disease Control and Prevention · US

Funding

Transmission ProjectU19AI089674 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MATTHEW G DORSEY, MOSES Robert KAMYA · 2010 to 2026
$29.3M
Training In Malaria Research in UgandaD43TW007375 · FIC · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ROSENTHAL, PHILIP JON · 2005 to 2019
$2.9M
FIC NIH HHS D43 TW007375FIC NIH HHS TW007375NIAID NIH HHS AI089674NIAID NIH HHS U19 AI089674
6 · The paper itself

Abstract

backgroundMalaria remains a major public health problem, and its control has been hampered by drug resistance. For a number of drugs, Plasmodium falciparum single nucleotide polymorphisms (SNPs) are associated with altered drug sensitivity and can be used as markers of drug resistance. Several techniques have been studied to assess resistance markers. The most widely used methodology is restriction fragment length polymorphism (RFLP) analysis. The ligase detection reaction fluorescent microsphere (LDR-FM) assay was recently shown to provide high throughput assessment of P. falciparum SNPs associated with drug resistance. The aim of this study was to validate the reliability and accuracy of the LDR-FM assay in a field setting.

methodsFor 223 samples from a clinical trial in Tororo, Uganda in which P. falciparum was identified by blood smear, DNA was extracted from dried blood spots, genes of interest were amplified by PCR, amplicons were analysed by both RFLP and LDR-FM assays, and results were compared.

resultsSNP prevalence (wild type/mixed/mutant) with RFLP analysis was 8/5/87% for pfcrt K76T, 34/37/29% for pfmdr1 N86Y, 64/17/19% for pfmdr1 Y184F, and 42/21/37% for pfmdr1 D1246Y. These prevalences with the LDR-FM assay were 7/5/88%, 31/24/45%, 62/20/18%, and 48/19/33% for the four SNPs, respectively. Combining mixed and mutant outcomes for analysis, agreement between the assays was 97% (K=0.77) for pfcrt K76T, 79% (K=0.55) for pfmdr1 N86Y, 83% (K=0.65) for pfmdr1 Y184F, and 91% (K=0.82) for pfmdr1 D1246Y, with most disagreements due to discrepant readings of mixed genotypes.

conclusionThe LDR-FM assay provides a high throughput, relatively inexpensive and accurate assay for the surveillance of P. falciparum SNPs associated with drug resistance in resource-limited countries.

Indexed as

Drug ResistancePolymorphism, Single NucleotideChild, PreschoolDNA, ProtozoanFemaleHigh-Throughput Screening AssaysHumansInfantLigasesLongitudinal StudiesMalaria, FalciparumMaleMicrospheresMolecular Diagnostic TechniquesParasitic Sensitivity TestsPlasmodium falciparumDNA, ProtozoanLigases

Identifiers

PMID24629020
PMCPMC4004386
OpenAlexW2154410155

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.