Evidence map›Paper›PMID 19940051›Full record

ArticleJournal of clinical microbiology2010

High-throughput pooling and real-time PCR-based strategy for malaria detection.

Steve M Taylor, Jonathan J Juliano, Paul A Trottman, Jennifer B Griffin, Sarah H Landis, Paluku Kitsa, Antoinette K Tshefu, Steven R Meshnick

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed, 4 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.

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

100 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  9. Review
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  16. Article
  17. Malaria diagnostic update: From conventional to advanced method.Journal of clinical laboratory analysis · 2022
    Review
  18. Article
  19. Pooled Testing Strategies for SARS-CoV-2 diagnosis: A comprehensive review.Diagnostic microbiology and infectious disease · 2021
    Review
  20. A review of testing and assurance methods forFood and waterborne parasitology · 2021
    Article

40 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

8 authors.

Steve M TaylorDepartment of Epidemiology, Gillings School of Global Public Health, North Carolina, Chapel Hill, North Carolina 27599, USA. stevemyertaylor@gmail.com
Jonathan J Juliano
Paul A Trottman
Jennifer B Griffin
Sarah H Landis
Paluku Kitsa
Antoinette K Tshefu
Steven R Meshnick

Funding

UNC Clinical Translation Science Award-K12 Scholars Program (KL2)KL2RR025746 · NCRR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUNGE, MARSCHALL S. · 2008 to 2011
$9.0M
Training in Infectious Disease Epidemiology (TIDE)T32AI070114 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Brian W Pence · 2007 to 2026
$4.0M
NCRR NIH HHS KL2 RR025746NCRR NIH HHS KL2RR025746NIAID NIH HHS T32 AI070114
6 · The paper itself

Abstract

Molecular assays can provide critical information for malaria diagnosis, speciation, and drug resistance, but their cost and resource requirements limit their application to clinical malaria studies. This study describes the application of a resource-conserving testing algorithm employing sample pooling for real-time PCR assays for malaria in a cohort of 182 pregnant women in Kinshasa. A total of 1,268 peripheral blood samples were collected during the study. Using a real-time PCR assay that detects all Plasmodium species, microscopy-positive samples were amplified individually; the microscopy-negative samples were amplified after pooling the genomic DNA (gDNA) of four samples prior to testing. Of 176 microscopy-positive samples, 74 were positive by the real-time PCR assay; the 1,092 microscopy-negative samples were initially amplified in 293 pools, and subsequently, 35 samples were real-time PCR positive (3%). With the real-time PCR result as the referent standard, microscopy was 67.9% sensitive (95% confidence interval [CI], 58.3% to 76.5%) and 91.2% specific (95% CI, 89.4% to 92.8%) for malaria. In total, we detected 109 parasitemias by real-time PCR and, by pooling samples, obviated over 50% of reactions and halved the cost of testing. Our study highlights both substantial discordance between malaria diagnostics and the utility and parsimony of employing a sample pooling strategy for molecular diagnostics in clinical and epidemiologic malaria studies.

Indexed as

AdultAnimalsClinical Laboratory TechniquesDemocratic Republic of the CongoFemaleHumansMalariaMicroscopyPlasmodiumPolymerase Chain ReactionPregnancySensitivity and SpecificitySpecimen HandlingYoung Adult

Identifiers

PMID19940051
PMCPMC2815636

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.