Evidence map›Paper›PMID 21325551›Full record

ArticleJournal of clinical microbiology2011

Development of a real-time PCR assay for detecting and quantifying human bocavirus 2.

Zi-qian Xu, Wei-xia Cheng, Bo-wen Li, Jie Li, Bei Lan, Zhao-jun Duan

Abstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Human Parvoviruses.Clinical microbiology reviews · 2017
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Molecular methods for pathogen and microbial community detection and characterization: current and potential application in diagnostic microbiology.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2012
    Review
  12. Article
  13. Frequency of viral etiology in symptomatic adult upper respiratory tract infections.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    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

6 authors.

Zi-qian XuState Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, China CDC, Beijing, China.
Wei-xia Cheng
Bo-wen Li
Jie Li
Bei Lan
Zhao-jun Duan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human bocavirus 2 (HBoV2) is a parvovirus that has been recently identified in stool samples from children. Any association between the virus and clinical disease is unclear. A rapid, reliable diagnostic method is necessary to address this issue. In this study, we developed a sensitive and specific HBoV2 quantitative real-time PCR assay that targets the HBoV2 NP-1 gene, based on the TaqMan method. The assay could reproducibly detect 10 copies of a recombinant DNA plasmid containing a partial region of the HBoV2 genome, with a dynamic range of 8 log units (10(1) to 10(8) copies). A clinical evaluation detected HBoV2 in 85 (24.6%) of 345 children with gastroenteritis, with viral loads ranging from 1.67 × 10(2) to 4.27 × 10(9) copies per ml of stool specimen.

Indexed as

Child, PreschoolClinical Laboratory TechniquesDNA PrimersDNA, ViralFemaleHuman bocavirusHumansInfantMaleMolecular Sequence DataParvoviridae InfectionsPolymerase Chain ReactionSensitivity and SpecificitySequence Analysis, DNAVirologyDNA PrimersDNA, Viral

Identifiers

PMID21325551
PMCPMC3122821

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.