Evidence map›Paper›PMID 31797154›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2020

Abundance of the nasopharyngeal microbiome effects pertussis diagnosis and explains the sensitivity difference between bacterial culture and real-time PCR.

Yijun Ding, Qing Wang, Dongfang Li, Kaihu Yao, Tianyou Wang

Abstract read
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Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. The association between bacteria colonizing the upper respiratory tract and lower respiratory tract infection in young children: a systematic review and meta-analysis.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2021
    Pooled it
  2. Article
  3. Evaluation of BioFire Respiratory Panel 2Microbiology spectrum · 2023
    Article
  4. Differences in the effects ofFrontiers in pediatrics · 2023
    Article
  5. Article
  6. 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

5 authors.

Yijun DingDepartment of Neonatology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Qing WangBeijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Dongfang LiDepartment of Microbial Research, WeHealthGene, Shenzhen, China.
Kaihu YaoBeijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China. jiuhu2655@sina.com.ORCID http://orcid.org/0000-0003-1548-8670
Tianyou WangDepartment of Hematology and Oncology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China. wangtianyou@bch.com.cn.

Funding

Beijing Hospitals Authority Youth Programme QML 20181207National Major Scientific and Technological Special Project for "Significant New Drugs Development 2017ZX09304029
6 · The paper itself

Abstract

Quantitative real time PCR (qPCR)is used for pertussis diagnosis. The positive rate of qPCR is generally much higher than that of bacterial culture, which may cause confusion. The current study utilized the 16S ribosomal RNA (16S rRNA) sequencing to assess the correlation between conventional culture and qPCR and to explore the value of 16S rRNA in diagnosing pertussis. Nasopharyngeal swabs, collected from 102 children meeting clinical diagnostic criteria for pertussis, were subjected to Bordetella pertussis culture and qPCR. Bioinformatic microbiota analysis was based on 16S rRNA V3-V4 gene sequencing. Among 102 samples, 14 (13.7%) were culture-positive for Bordetella pertussis, while 61 (59.8%) were qPCR positive. Genus Bordetella was identified in 68 (66.7%) samples via 16S rRNA sequencing. When the relative abundance of Bordetella genus exceeded 0.70%, both qPCR and culture results were positive. Samples with a relative abundance of less than 0.20% exhibited positive qPCR and negative culture results. Samples with a low Bordetella abundance are the key factors underlying poor correlation between culture and qPCR results in laboratory tests.

Indexed as

Bacteriological TechniquesBordetella pertussisMicrobiotaReal-Time Polymerase Chain ReactionChildChild, PreschoolDiagnosis, DifferentialFemaleHumansInfantMaleNasopharynxRNA, Ribosomal, 16SSensitivity and SpecificityWhooping CoughRNA, Ribosomal, 16SBordetella pertussisCultureDiagnosisQuantitative real-time PCRSensitivity

Identifiers

What OpenQuestion holds

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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.