Evidence map›Paper›PMID 27122380›Full record

ArticleJournal of clinical microbiology2016

Clinical Evaluation of the New High-Throughput Luminex NxTAG Respiratory Pathogen Panel Assay for Multiplex Respiratory Pathogen Detection.

Jonathan H K Chen, Ho-Yin Lam, Cyril C Y Yip, Sally C Y Wong, Jasper F W Chan, Edmond S K Ma, Vincent C C Cheng, Bone S F Tang, Kwok-Yung Yuen

Open access · bronzeAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
6.9field-weighted citation impact, top 3% 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

46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 79 citations in OpenAlex.

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  15. Impact of multiplexed respiratory viral panels on infection control measures and antimicrobial stewardship: a review of the literature.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2022
    Review
  16. Article
  17. An evaluation of the Unyvero pneumonia system for rapid detection of microorganisms and resistance markers of lower respiratory infections-a multicenter prospective study on ICU patients.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2021
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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

9 authors at 2 institutions in 2 countries.

Jonathan H K ChenDepartment of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China.ORCID http://orcid.org/0000-0002-7510-1696
Ho-Yin LamDepartment of Pathology, Hong Kong Sanatorium and Hospital, Hong Kong Special Administrative Region, China.
Cyril C Y YipDepartment of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China.
Sally C Y WongDepartment of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China.
Jasper F W ChanDepartment of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China.
Edmond S K MaDepartment of Pathology, Hong Kong Sanatorium and Hospital, Hong Kong Special Administrative Region, China.
Vincent C C ChengDepartment of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China.
Bone S F TangDepartment of Pathology, Hong Kong Sanatorium and Hospital, Hong Kong Special Administrative Region, China.
Kwok-Yung YuenDepartment of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China kyyuen@hku.hk.
Queen Mary Hospital · CNHong Kong Sanatorium and Hospital · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A broad range of viral and bacterial pathogens can cause acute respiratory tract infection. For rapid detection of a broad respiratory pathogen spectrum, multiplex real-time PCR is ideal. This study evaluated the performance of the new Luminex NxTAG Respiratory Pathogen Panel (NxTAG-RPP) in comparison with the BioFire FilmArray Respiratory Panel (FA-RP) or singleplex real-time PCR as reference. A total of 284 clinical respiratory specimens and 3 influenza A/H7N9 viral culture samples were tested. All clinical specimens were processed and analyzed in parallel using NxTAG-RPP and the reference standard method. The H7N9 viral culture samples were tested using NxTAG-RPP only. Overall, the NxTAG-RPP demonstrated ≥93% sensitivity and specificity for all respiratory targets except human coronavirus OC43 (HCoV-OC43) and HCoV-HKU1. The H7N9 virus was detected by the influenza A virus matrix gene target, while other influenza A virus subtyping gene targets in the panel remained negative. Complete concordance between NxTAG-RPP and FA-RP was observed in 98.8% (318/322) of positive results (kappa = 0.92). Substantial agreement was found for most respiratory targets, but significant differences were observed in human metapneumovirus (P = 0.001) and parainfluenza virus type 3 (P = 0.031). NxTAG-RPP has a higher sample throughput than FA-RP (96 samples versus 1 sample per run) while the turnaround times for NxTAG-RPP and FA-RP were 5 h (up to 96 samples) and 1 h (for one sample), respectively. Overall, NxTAG-RPP demonstrated good diagnostic performance for most respiratory pathogens. The high sample throughput with reasonable turnaround time of this new assay makes it a suitable multiplex platform for routine screening of respiratory specimens in hospital-based laboratories.

Indexed as

BacteriaBacterial InfectionsHumansMolecular Diagnostic TechniquesRespiratory Tract InfectionsSensitivity and SpecificityVirus DiseasesViruses

Identifiers

PMID27122380
PMCPMC4922091
OpenAlexW2344428373

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.