Evidence map›Paper›PMID 28913577›Full record

ArticleArchives of virology2017

A resequencing pathogen microarray method for high-throughput molecular diagnosis of multiple etiologies associated with central nervous system infection.

Ji Wang, Panhui Yu, Zhengde Xie, Tengfei Yan, Chen Chen, Xinxin Shen, Xiangpeng Chen, Lixin Li, Xiuxia Wang, Suzhen Sun and 1 more

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Archives of virology, 2017. 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
0.2field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  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

11 authors at 5 institutions in 1 country.

Ji WangNational Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Panhui YuNational Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Zhengde XieMOE Key Laboratory of Major Diseases in Children, National Key Discipline of Pediatrics, National Clinical Research Center for Respiratory Diseases, Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Tengfei YanNational Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Chen ChenNational Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Xinxin ShenNational Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Xiangpeng ChenMOE Key Laboratory of Major Diseases in Children, National Key Discipline of Pediatrics, National Clinical Research Center for Respiratory Diseases, Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Lixin LiNo. 1 Hospital of Shijiazhuang, Shijiazhuang, China.
Xiuxia WangDepartment of Pediatrics, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Suzhen SunNeurology Department, Children's Hospital of Hebei Province, Shijiazhuang, China. sunsuzhen2004@126.com.
Xuejun MaNational Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. maxj@ivdc.chinacdc.cn.
National Institute for Viral Disease Control and Prevention · CNCapital Medical University · CNFirst Hospital of Shijiazhuang · CNHebei Medical University · CNHospital of Hebei Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Central nervous system infection (CNSI) results in significant health and economic burdens worldwide, but the diversity of causative pathogens makes differential diagnosis very difficult. Although PCR and real-time fluorescent quantitative PCR (q-PCR) assays are widely applied for pathogen detection, they are generally optimized for the detection of a single or limited number of targets and are not suitable for the diagnosis of numerous CNSI agents. In this study, we describe the development of a resequencing pathogen microarray (RPM-IVDC4) method for the simultaneous detection of viruses, bacteria, fungi and parasites that cause CNSI. The test panel of this assay included more than 100 microorganism species across 45 genera and 30 families. The analytical specificity and sensitivity were examined using a panel of positive reference strains, and the clinical performance was evaluated using 432 clinical samples by comparing the results with q-PCR assays. Our results demonstrated good performance of the RPM-IVDC4 assay in terms of sensitivity, specificity and detection range, suggesting that the platform can be further developed for high-throughput CNSI diagnosis.

Indexed as

Bacterial InfectionsCentral Nervous System InfectionsDiagnosis, DifferentialHigh-Throughput Screening AssaysHumansMicroarray AnalysisMolecular Diagnostic TechniquesMycosesParasitic DiseasesSensitivity and SpecificityVirus Diseases

Identifiers

PMID28913577
PMCPMC7087039
OpenAlexW2756389244

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.