Evidence map›Paper›PMID 22168387›Full record

ArticleBMC infectious diseases2011

Detection of human bocavirus from children and adults with acute respiratory tract illness in Guangzhou, southern China.

Wen-Kuan Liu, De-Hui Chen, Qian Liu, Huan-Xi Liang, Zi-Feng Yang, Sheng Qin, Rong Zhou

Abstract read
In one paragraph

Article in BMC infectious diseases, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Community-Acquired Human Bocavirus Infection in an Immunocompetent Adult.Infectious diseases & clinical microbiology · 2024
    Article
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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

7 authors.

Wen-Kuan LiuState Key Laboratory of Respiratory Diseases, Guangzhou Medical University, 1 Kang Da Road, Guangzhou, Guangdong 510230, China.
De-Hui Chen
Qian Liu
Huan-Xi Liang
Zi-Feng Yang
Sheng Qin
Rong Zhou

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman bocavirus (HBoV) is a newly discovered parvovirus associated with acute respiratory tract illness (ARTI) and gastrointestinal illness. Our study is the first to analyze the characteristics of HBoV-positive samples from ARTI patients with a wide age distribution from Guangzhou, southern China.

methodsThroat swabs (n=2811) were collected and analyzed from children and adults with ARTI over a 13-month period. The HBoV complete genome from a 60 year-old female patient isolate was also determined.

resultsHBoV DNA was detected in 65/2811 (2.3%) samples, of which 61/1797 were from children (<18 years old) and 4/1014 from adults (≥18 years old). Seasonal peaks of 4.8% and 7.7% were detected in May and June, respectively. 28 of 65 (43.1%) HBoV-positive samples were co-detected with 11/16 other potential pathogens. Mycoplasma pneumoniae had the highest frequency of 16.9% (11/65). Upper and lower respiratory tract illness were common symptoms, with 19/65 (29.2%) patients diagnosed with pneumonia by chest radiography. All four adult patients had systemic influenza-like symptoms. Phylogenetic analysis of the complete genome revealed a close relationship with other HBoVs, and a more distant relationship with HBoV2 and HBoV3.

conclusionsHBoV was detected from children and adults with ARTI from Guangzhou, southern China. Elderly people were also susceptive to HBoV. A single lineage of HBoV was detected among a wide age distribution of patients with ARTI.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolChinaCluster AnalysisDNA, ViralFemaleGenome, ViralHuman bocavirusHumansInfantInfant, NewbornMaleDNA, Viral

Identifiers

PMID22168387
PMCPMC3267697

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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.