Evidence map›Paper›PMID 37764963›Full record

ArticlePathogens (Basel, Switzerland)2023

Designing and Validation of a Droplet Digital PCR Procedure for Diagnosis and Accurate Quantification of Nervous Necrosis Virus in the Mediterranean Area.

Sandra Souto, José G Olveira, Carmen López-Vázquez, Isabel Bandín, Carlos P Dopazo

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Sandra SoutoInstituto de Acuicultura, Department of Microbiology, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain.ORCID 0000-0003-2370-4708
José G OlveiraInstituto de Acuicultura, Department of Microbiology, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain.ORCID 0000-0002-6144-8664
Carmen López-VázquezInstituto de Acuicultura, Department of Microbiology, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain.ORCID 0000-0002-1671-6586
Isabel BandínInstituto de Acuicultura, Department of Microbiology, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain.ORCID 0000-0002-1947-5933
Carlos P DopazoInstituto de Acuicultura, Department of Microbiology, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain.ORCID 0000-0002-8125-2423

Funding

Ministerio de Ciencia e Innovación and Xunta de Galicia with funding from European Union NextGenerationEU (PRTR-C17.I1) and European Maritime and Fisheries Fund. PRTR-C17.I1
6 · The paper itself

Abstract

The viral nervous necrosis virus (VNNV) is the causative agent of an important disease affecting fish species cultured worldwide. Early and accurate diagnosis is, at present, the most effective control and prevention tool, and molecular techniques have been strongly introduced and accepted by official organizations. Among those, real-time quantitative polymerase chain reaction (rt-qPCR) is nowadays displacing other molecular techniques. However, another PCR-based technology, droplet digital PCR (ddPCR), is on the increase. It has many advantages over qPCR, such as higher sensitivity and more reliability of the quantification. Therefore, we decided to design and validate a protocol for the diagnosis and quantification of SJ and RG type VNNV using reverse transcription-ddPCR (RT-ddPCR). We obtained an extremely low limit of detection, 10- to 100-fold lower than with RT-qPCR. Quantification by RT-ddPCR, with a dynamic range of 6.8-6.8 × 10

Indexed as

diagnosisdPCRdroplet digital PCRvalidationVNNV

Identifiers

PMID37764963
PMCPMC10536565

What OpenQuestion holds

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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.