Evidence map›Paper›PMID 32185225›Full record

ArticleBioMed research international2020

DV200 Index for Assessing RNA Integrity in Next-Generation Sequencing.

Takehiro Matsubara, Junichi Soh, Mizuki Morita, Takahiro Uwabo, Shuta Tomida, Toshiyoshi Fujiwara, Susumu Kanazawa, Shinichi Toyooka, Akira Hirasawa

Abstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing 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

66 citing papers in PubMed.

  1. Article
  2. FFPE-CUTAC: A Single Assay, Multiple Layers.bioRxiv : the preprint server for biology · 2026
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  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

6 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.

Takehiro MatsubaraOkayama University Hospital Biobank, Okayama University Hospital, Japan.ORCID https://orcid.org/0000-0001-6156-4617
Junichi SohDepartment of Surgery, Division of Thoracic Surgery, Kindai University Faculty of Medicine, Japan.ORCID https://orcid.org/0000-0001-8532-7915
Mizuki MoritaDepartment of Biomedical Informatics, Okayama University Graduate School of Interdisciplinary Science and Engineering in Health Systems, Japan.
Takahiro UwaboDepartment of Biomedical Informatics, Okayama University Graduate School of Interdisciplinary Science and Engineering in Health Systems, Japan.
Shuta TomidaDepartment of Biobank, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Japan.
Toshiyoshi FujiwaraDepartment of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Japan.
Susumu KanazawaDepartment of Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Japan.
Shinichi ToyookaDepartment of General Thoracic Surgery, Breast and Endocrinological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Japan.
Akira HirasawaDepartment of Clinical Genomic Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poor quality of biological samples will result in an inaccurate analysis of next-generation sequencing (NGS). Therefore, methods to accurately evaluate sample integrity are needed. Among methods for evaluating RNA quality, the RNA integrity number equivalent (RINe) is widely used, whereas the DV200, which evaluates the percentage of fragments of >200 nucleotides, is also used as a quality assessment standard. In this study, we compared the RINe and DV200 RNA quality indexes to determine the most suitable RNA index for the NGS analysis. Seventy-one RNA samples were extracted from formalin-fixed paraffin-embedded tissue samples (

Indexed as

Gene LibraryHigh-Throughput Nucleotide SequencingHumansParaffin EmbeddingRNASensitivity and SpecificityRNA

Identifiers

PMID32185225
PMCPMC7063185

What OpenQuestion holds

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Registered trials

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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.