Evidence map›Paper›PMID 21181930›Full record

ArticleJournal of medical virology2011

A novel real-time PCR system for simultaneous detection of human viruses in clinical samples from patients with uncertain diagnoses.

Harutaka Katano, Motofumi Kano, Tomoyuki Nakamura, Takayuki Kanno, Hideki Asanuma, Tetsutaro Sata

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical virology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

34 citing papers in PubMed, 62 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

6 authors at 1 institution in 1 country.

Harutaka KatanoDepartment of Pathology, National Institute of Infectious Diseases, Shinjuku, Tokyo, Japan. katano@nih.gov.jp
Motofumi Kano
Tomoyuki Nakamura
Takayuki Kanno
Hideki Asanuma
Tetsutaro Sata
National Institute of Infectious Diseases · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel simultaneous detection system for human viruses was developed using a real-time polymerase chain reaction (PCR) system to identify causes of infection in clinical samples from patients with uncertain diagnoses. This system, designated as the "multivirus real-time PCR," has the potential to detect 163 human viruses (47 DNA viruses and 116 RNA viruses) in a 96-well plate simultaneously. The specificity and sensitivity of each probe-primer set were confirmed with cells or tissues infected with specific viruses. The multivirus real-time PCR system showed profiles of virus infection in 20 autopsies of acquired immunodeficiency syndrome patients, and detected frequently TT virus, cytomegalovirus, human herpesvirus 6, and Epstein-Barr virus in various organs; however, RNA viruses were detected rarely except for human immunodeficiency virus-1. Pathology samples from 40 patients with uncertain diagnoses were examined, including cases of encephalitis, hepatitis, and myocarditis. Herpes simplex virus 1, human herpesvirus 6, and parechovirus 3 were identified as causes of diseases in four cases of encephalitis, while no viruses were identified in other cases as causing disease. This multivirus real-time PCR system can be useful for detecting virus in specimens from patients with uncertain diagnoses.

Indexed as

Acquired Immunodeficiency SyndromeAdultAgedDNA PrimersDNA, ViralDNA VirusesFemaleHIV-1HumansMaleMiddle AgedPolymerase Chain ReactionRNA, ViralRNA VirusesSensitivity and SpecificityVirus DiseasesDNA PrimersDNA, ViralRNA, Viral

Identifiers

PMID21181930
PMCPMC7166515
OpenAlexW1985827969

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.