Evidence map›Paper›PMID 26928594›Full record

ArticleMalaria journal2016

Human malaria diagnosis using a single-step direct-PCR based on the Plasmodium cytochrome oxidase III gene.

Diego F Echeverry, Nicholas A Deason, Jenna Davidson, Victoria Makuru, Honglin Xiao, Julie Niedbalski, Marcia Kern, Tanya L Russell, Thomas R Burkot, Frank H Collins and 1 more

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Research progress on direct PCR and its applications.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026
    Review
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  5. Molecular Screening ofAnimals : an open access journal from MDPI · 2025
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  6. Malaria Vectors andTropical medicine and infectious disease · 2024
    Article
  7. Review
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  11. Pf7: an open dataset ofWellcome open research · 2023
    Article
  12. Review
  13. Article
  14. An open dataset ofWellcome open research · 2022
    Article
  15. Article
  16. Article
  17. Polymorphism Analysis ofDiseases (Basel, Switzerland) · 2021
    Article
  18. Diagnostic Methods for Non-Falciparum Malaria.Frontiers in cellular and infection microbiology · 2021
    Review
  19. An open dataset ofWellcome open research · 2021
    Article
  20. Ultrasensitive CRISPR-based diagnostic for field-applicable detection ofProceedings of the National Academy of Sciences of the United States of America · 2020
    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

11 authors at 3 institutions in 2 countries.

Diego F EcheverryEck Institute for Global Health, University of Notre Dame, Notre Dame, IN, 46556, USA. decheve1@nd.edu.
Nicholas A DeasonEck Institute for Global Health, University of Notre Dame, Notre Dame, IN, 46556, USA. nicholas.deason@nih.gov.
Jenna DavidsonEck Institute for Global Health, University of Notre Dame, Notre Dame, IN, 46556, USA. jenna.r.davidson.60@nd.edu.
Victoria MakuruEck Institute for Global Health, University of Notre Dame, Notre Dame, IN, 46556, USA. victoria.makuru.1@nd.edu.
Honglin XiaoEck Institute for Global Health, University of Notre Dame, Notre Dame, IN, 46556, USA. hxiao@nd.edu.
Julie NiedbalskiEck Institute for Global Health, University of Notre Dame, Notre Dame, IN, 46556, USA. niedbalski.14@nd.edu.
Marcia KernEck Institute for Global Health, University of Notre Dame, Notre Dame, IN, 46556, USA. marcia.k.kern.11@nd.edu.
Tanya L RussellAustralian Institute of Tropical Health and Medicine, James Cook University, Cairns, QLD, 4870, Australia. tanya.russell@jcu.edu.au.
Thomas R BurkotAustralian Institute of Tropical Health and Medicine, James Cook University, Cairns, QLD, 4870, Australia. tom.burkot@jcu.edu.au.
Frank H CollinsEck Institute for Global Health, University of Notre Dame, Notre Dame, IN, 46556, USA. frank@nd.edu.
Neil F LoboEck Institute for Global Health, University of Notre Dame, Notre Dame, IN, 46556, USA. neil.f.lobo.2@nd.edu.
University of Notre Dame · USAustralian Institute of Tropical Health and Medicine · AUJames Cook University · AU

Funding

TransmissionU19AI089686 · NIAID · CASE WESTERN RESERVE UNIVERSITY · PI KAZURA, JAMES WALTER · 2010 to 2016
$9.9M
NIAID NIH HHS U19 AI089686
6 · The paper itself

Abstract

backgroundNested PCRs based on the Plasmodium 18s-rRNA gene have been extensively used for human malaria diagnosis. However, they are not practical when large quantities of samples need to be processed, further there have been challenges in the performance and when interpreting results, especially when submicroscopic infections are analysed. Here the use of "direct PCR" was investigated with the aim of improving diagnosis in the malaria elimination era.

methodsThe performance of the Plasmodium cytochrome oxidase III gene (COX-III) based novel malaria detection strategies (direct nested PCR and direct single PCR) were compared using a 18s-rRNA direct nested PCR as a reference tool. Evaluations were based on sensitivity, specificity and the ability to detect mixed infections using control blood spot samples and field collected blood samples with final species diagnosis confirmation by sequencing.

resultsThe COX-III direct PCR (limit of detection: 0.6-2 parasites/μL) was more sensitive than the 18s-rRNA direct nested PCR (limit of detection: 2-10 parasites/μL). The COX-III direct PCR identified all 21 positive controls (no mixed infections detected) while the 18s-rRNA direct nested PCR identified 18/21 (including four mixed infections). Different concentrations of simulated mixed infections (Plasmodium vivax and Plasmodium falciparum) suggest that the COX-III direct PCR detects only the predominant species. When the 18s-rRNA direct nested PCR was used to detect Plasmodium in field collected bloods spots (n = 3833), there was discrepancy in the results from the genus PCR (16 % positive) and the species-specific PCR (5 % positive). Further, a large portion of a subset of these positive samples (93 % for genus and 60 % for P. vivax), did not align with Plasmodium sequences. In contrast, the COX-III direct PCR clearly identified (single bands confirmed with sequencing) 2 % positive Plasmodium samples including P. vivax, P. falciparum, Plasmodium malariae and Plasmodium ovale wallikeri.

conclusionsThe COX-III single direct PCR is an alternative method for accurate detection of Plasmodium microscopic and submicroscopic infections in humans, especially when a large number of samples require screening. This PCR does not require DNA isolation, is sensitive, quick, produces confident/clear results, identifies all the Plasmodium species infecting humans, and is cost-effective.

Indexed as

Base SequenceDNA, ProtozoanDried Blood Spot TestingElectron Transport Complex IVHumansLimit of DetectionMalariaMolecular Sequence DataParasitemiaPlasmodiumPolymerase Chain ReactionProtozoan ProteinsSequence AlignmentDNA, ProtozoanElectron Transport Complex IVProtozoan Proteins

Identifiers

PMID26928594
PMCPMC4772515
OpenAlexW2291770786

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.