Evidence map›Paper›PMID 26179300›Full record

ArticleJournal of clinical microbiology2015

Comparison of Automated Quantitative Reverse Transcription-PCR and Direct Fluorescent-Antibody Detection for Routine Rabies Diagnosis in the United States.

Michelle Dupuis, Scott Brunt, Kim Appler, April Davis, Robert Rudd

Open access · bronzeAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 28 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Michelle DupuisWadsworth Center, New York State Department of Health, Albany, New York, USA.
Scott BruntWadsworth Center, New York State Department of Health, Albany, New York, USA.
Kim ApplerWadsworth Center, New York State Department of Health, Albany, New York, USA.
April DavisWadsworth Center, New York State Department of Health, Albany, New York, USA april.davis@health.ny.gov.
Robert RuddWadsworth Center, New York State Department of Health, Albany, New York, USA.
New York State Department of Health · USWadsworth Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rabies virus found worldwide and prevalent throughout the United States continues to be a public health concern. Direct-fluorescent antibody (DFA) detection remains the gold standard for rabies virus diagnostics. Assessing the utility of a high-throughput molecular platform such as the QIAsymphony SP/AS, in conjunction with quantitative reverse transcription-PCR (qRT-PCR), to augment or potentially replace the DFA test, was the focus of this project. Here we describe a triplex qRT-PCR assay, including assembly and evaluation for sensitivity, specificity, and ability to detect variants. Additionally, we compared the qRT-PCR assay to the gold standard direct fluorescent-antibody test. More than 1,000 specimens submitted for routine rabies diagnosis were tested to directly compare the two methods. All results were in agreement between the two methods, with one additional specimen detected by qRT-PCR below the limits of the DFA sensitivity. With the proper continued validation for variant detection, molecular methods have a place in routine rabies diagnostics within the United States.

Indexed as

AnimalsAntibodies, ViralBrainFluorescent Antibody Technique, DirectHumansMultiplex Polymerase Chain ReactionRabiesReal-Time Polymerase Chain ReactionRNA, ViralSensitivity and SpecificityUnited StatesAntibodies, ViralRNA, Viral

Identifiers

PMID26179300
PMCPMC4540915
OpenAlexW1632611255

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.