Evidence map›Paper›PMID 37662001›Full record

ArticleFrontiers in cellular and infection microbiology2023

Metagenomic next-generation sequencing for detecting lower respiratory tract infections in sputum and bronchoalveolar lavage fluid samples from children.

Ruihe Shi, Yuan Wang, Shujuan Zhou, Yanli Zhang, Shiwei Zheng, Dingfang Zhang, Xilong Du, Weiyue Gu, Yiran Xu, Changlian Zhu

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

10 authors.

Ruihe ShiDivision of Pulmonology, Department of Pediatrics, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yuan WangDepartment of Clinical Laboratory, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Shujuan ZhouDepartment of Biochemistry and Molecular Biology, College of Life Sciences, Xiamen University, Xiamen, China.
Yanli ZhangDivision of Pulmonology, Department of Pediatrics, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Shiwei ZhengDivision of Pulmonology, Department of Pediatrics, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Dingfang ZhangDivision of Pulmonology, Department of Pediatrics, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xilong DuBeijing Chigene Translational Medical Research Center, Beijing, China.
Weiyue GuBeijing Chigene Translational Medical Research Center, Beijing, China.
Yiran XuHenan Pediatric Clinical Research Center and Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience of Zhengzhou University, Zhengzhou, China.
Changlian ZhuHenan Pediatric Clinical Research Center and Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lower respiratory tract infections are common in children. Bronchoalveolar lavage fluid has long been established as the best biological sample for detecting respiratory tract infections; however, it is not easily collected in children. Sputum may be used as an alternative yet its diagnostic accuracy remains controversial. Therefore, this study sought to evaluate the diagnostic accuracy of sputum for detecting lower respiratory tract infections using metagenomic next-generation sequencing. Paired sputum and bronchoalveolar lavage fluid samples were obtained from 68 patients; pathogens were detected in 67 sputum samples and 64 bronchoalveolar lavage fluid samples by metagenomic next-generation sequencing, respectively. The combined pathogen-detection rates in the sputum and bronchoalveolar lavage fluid samples were 80.90% and 66.2%, respectively. For sputum, the positive predictive values (PPVs) and negative predictive values (NPVs) for detecting bacteria were 0.72 and 0.73, respectively, with poor Kappa agreement (0.30; 95% confidence interval: 0.218-0.578,

Indexed as

Respiratory Tract InfectionsSputumBronchoalveolar Lavage FluidChildHigh-Throughput Nucleotide SequencingHumansMetagenomebronchoalveolar lavage fluidlower respiratory tract infectionmetagenomic next-generation sequencingpediatricsputum

Identifiers

PMID37662001
PMCPMC10470636

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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.