Evidence map›Paper›PMID 24989601›Full record

ArticleJournal of clinical microbiology2014

High-throughput ultrasensitive molecular techniques for quantifying low-density malaria parasitemias.

Mallika Imwong, Sarun Hanchana, Benoit Malleret, Laurent Rénia, Nicholas P J Day, Arjen Dondorp, Francois Nosten, Georges Snounou, Nicholas J White

3 registry-linked trialsAbstract readValidation Study
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. It is linked to 3 registered trials, which are not on this map. Cited by 157 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
157citing 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.

NCT02788864 phase4completednot on this mapstarted 2016, after this paper: background citation

A Randomized, Placebo-controlled, Double-blind Trial Using Dihydroartemisinine+Piperaquine (DP) to Protect Forest Workers From Malaria in Bu Gia Map National Park

TypeinterventionalSponsorOxford University Clinical Research Unit, VietnamRan2016 to 2016Enrolled150ConditionsMalariaArmsArterakine (DHA/piperaquine), Placebo
NCT03511443 naunknown statusnot on this mapstarted 2017, after this paper: background citation

Evaluation of the Performance of a Highly-sensitive Rapid Diagnostic Test (RDT) Versus Conventional RDT, Compared With PCR as the Gold Standard, in Reactive Case Detection of Malaria Infections in Rakhine State, Myanmar

TypeinterventionalSponsorUniversity Research Co, LLCRan2017 to 2018Enrolled1,980ConditionsMalaria Diagnosis, Malaria,FalciparumArmshsRDT
NCT04041973 nacompletednot on this mapstarted 2020, after this paper: background citation

An Open-label Individually Randomised Controlled Trial to Assess the Efficacy of Artemether-lumefantrine Prophylaxis for Malaria Among Forest Goers in Cambodia

TypeinterventionalSponsorUniversity of OxfordRan2020 to 2021Enrolled1,480ConditionsMalariaArmsArtemether-lumefantrine, Multivitamin
3 · Its place in the literature

Who cites it

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

  1. Pooled it
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  6. Prevalence ofThe American journal of tropical medicine and hygiene · 2020
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  11. A Controlled Trial of Mass Drug Administration to Interrupt Transmission of Multidrug-Resistant Falciparum Malaria in Cambodian Villages.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
    Trial
  12. The American journal of tropical medicine and hygiene · 2018
    Trial
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97 more citing papers are in PubMed but not listed here.

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

9 authors.

Mallika ImwongDepartment of Molecular Tropical Medicine and Genetics, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand mallika.imw@mahidol.ac.th.
Sarun HanchanaMahidol Oxford Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Benoit MalleretLaboratory of Malaria Immunobiology, Singapore Immunology Network (SIgN), Agency for Science Technology and Research (A*STAR), Biopolis, Singapore Department of Microbiology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore.
Laurent RéniaLaboratory of Malaria Immunobiology, Singapore Immunology Network (SIgN), Agency for Science Technology and Research (A*STAR), Biopolis, Singapore.
Nicholas P J DayMahidol Oxford Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand Centre for Tropical Medicine, Nuffield Department of Medicine, Churchill Hospital, Oxford, United Kingdom.
Arjen DondorpMahidol Oxford Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand Centre for Tropical Medicine, Nuffield Department of Medicine, Churchill Hospital, Oxford, United Kingdom.
Francois NostenCentre for Tropical Medicine, Nuffield Department of Medicine, Churchill Hospital, Oxford, United Kingdom Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand.
Georges SnounouSorbonne Universités, UPMC University Paris 06, UPMC UMRS CR7, Paris, France Centre d'Immunologie et de Maladies Infectieuses (CIMI)-Paris, Institut National de la Santé et de la Recherche Médicale (INSERM) U1135-Centre National de la Recherche Scientifique (CNRS) ERL 8255, Paris, France.
Nicholas J WhiteMahidol Oxford Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand Centre for Tropical Medicine, Nuffield Department of Medicine, Churchill Hospital, Oxford, United Kingdom.

Funding

Wellcome Trust 093956Wellcome Trust 101148Wellcome Trust WT101148MA
6 · The paper itself

Abstract

The epidemiology of malaria in "low-transmission" areas has been underestimated. Molecular detection methods have revealed higher prevalences of malaria than conventional microscopy or rapid diagnostic tests, but these typically evaluate finger-prick capillary blood samples (∼5 μl) and therefore cannot detect parasite densities of <200/ml. Their use underestimates true parasite carriage rates. To characterize the epidemiology of malaria in low-transmission settings and plan elimination strategies, more sensitive quantitative PCR (qPCR) is needed to identify and quantify low-density malaria parasitemias. A highly sensitive "high-volume" quantitative PCR (qPCR) method based on Plasmodium sp. 18S RNA was adapted for blood sample volumes of ≥250 μl and scaled for high throughput. The methods were validated by assessment of the analytical sensitivity and specificity, diagnostic sensitivity, and specificity, efficiency, precision, analytical and diagnostic accuracies, limit of detection, root cause analysis of false positives, and robustness. The high-volume qPCR method based on Plasmodium sp. 18S RNA gave high PCR efficiency of 90 to 105%. Concentrations of parasite DNA from large volumes of blood gave a consistent analytical detection limit (LOD) of 22 parasites/ml (95% CI, 21.79 to 74.9), which is some 2,500 times more sensitive than conventional microscopy and 50 times more sensitive than currently used PCR methods from filter paper blood spots. The diagnostic specificity was 99.75%. Using automated procedures it was possible to process 700 blood samples per week. A very sensitive and specific high-throughput high-volume qPCR method for the detection of low-density parasitemias (>20 parasites/ml) was developed and validated.

Indexed as

Automation, LaboratoryCarrier StateDNA, ProtozoanDNA, RibosomalHigh-Throughput Screening AssaysHumansMalariaParasite LoadParasitemiaPlasmodiumPolymerase Chain ReactionRNA, Ribosomal, 18SSensitivity and SpecificityDNA, ProtozoanDNA, RibosomalRNA, Ribosomal, 18S

Identifiers

PMID24989601
PMCPMC4313154

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.