Evidence map›Paper›PMID 23345286›Full record

ArticleJournal of clinical microbiology2013

Development of a panel of recombinase polymerase amplification assays for detection of biothreat agents.

Milena Euler, Yongjie Wang, Doris Heidenreich, Pranav Patel, Oliver Strohmeier, Sydney Hakenberg, Matthias Niedrig, Frank T Hufert, Manfred Weidmann

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing 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

73 citing papers in PubMed.

  1. Article
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  6. Development of a rapid isothermal-based assay for detection of whitefly MEAM1 and MED biotypes using recombinase polymerase amplification.Physiology and molecular biology of plants : an international journal of functional plant biology · 2025
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13 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.

Milena EulerUniversity Medical Center, Department of Virology, Göttingen, Germany.
Yongjie Wang
Doris Heidenreich
Pranav Patel
Oliver Strohmeier
Sydney Hakenberg
Matthias Niedrig
Frank T Hufert
Manfred Weidmann

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Syndromic panels for infectious disease have been suggested to be of value in point-of-care diagnostics for developing countries and for biodefense. To test the performance of isothermal recombinase polymerase amplification (RPA) assays, we developed a panel of 10 RPAs for biothreat agents. The panel included RPAs for Francisella tularensis, Yersinia pestis, Bacillus anthracis, variola virus, and reverse transcriptase RPA (RT-RPA) assays for Rift Valley fever virus, Ebola virus, Sudan virus, and Marburg virus. Their analytical sensitivities ranged from 16 to 21 molecules detected (probit analysis) for the majority of RPA and RT-RPA assays. A magnetic bead-based total nucleic acid extraction method was combined with the RPAs and tested using inactivated whole organisms spiked into plasma. The RPA showed comparable sensitivities to real-time RCR assays in these extracts. The run times of the assays at 42°C ranged from 6 to 10 min, and they showed no cross-detection of any of the target genomes of the panel nor of the human genome. The RPAs therefore seem suitable for the implementation of syndromic panels onto microfluidic platforms.

Indexed as

Biological Warfare AgentsBacteriaHumansMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesNucleic AcidsPlasmaTemperatureTime FactorsVirusesBiological Warfare AgentsNucleic Acids

Identifiers

PMID23345286
PMCPMC3666764

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.