Evidence map›Paper›PMID 34915851›Full record

ArticleBMC infectious diseases2021

The microbiological diagnostic performance of metagenomic next-generation sequencing in patients with sepsis.

Di Ren, Chao Ren, Renqi Yao, Lin Zhang, Xiaomin Liang, Guiyun Li, Jiaze Wang, Xinke Meng, Jia Liu, Yu Ye and 9 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
6.5field-weighted citation impact, top 2% 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

30 citing papers in PubMed, 56 citations in OpenAlex.

  1. Trial
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  10. Exploring drug resistance genes inFrontiers in microbiology · 2025
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  19. [Value of metagenomic next-generation sequencing in children with hematological malignancies complicated with infections].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2023
    Article
  20. 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

19 authors at 3 institutions in 1 country.

Di Ren *Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Chao Ren *Trauma Research Center, Fourth Medical Center of the Chinese PLA General Hospital, Beijing, 100048, People's Republic of China.
Renqi Yao *Trauma Research Center, Fourth Medical Center of the Chinese PLA General Hospital, Beijing, 100048, People's Republic of China.
Lin ZhangDepartment of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Xiaomin LiangDepartment of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Guiyun LiDepartment of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Jiaze WangDepartment of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Xinke MengDepartment of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Jia LiuResearch & Development, Dinfectome Inc., Nanjing, 213164, Jiangsu, China.
Yu YeDepartment of Neurosurgery, Shenzhen Longgang Central Hospital (The Second Affiliated Hospital of the Chinese University of Hong Kong (Shenzhen)), Shenzhen, China.
Haoli LiDepartment of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Sha WenDepartment of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Yanhong ChenDepartment of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Dan ZhouDepartment of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Xisi HeDepartment of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Xiaohong LiDepartment of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Kai LaiDepartment of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Ying LiDepartment of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China. yeyu2007@qq.com.
Shuiqing GuiDepartment of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China. guishuiqing@163.com.
Shenzhen Second People's Hospital · CNChinese PLA General Hospital · CNChinese University of Hong Kong, Shenzhen · CN

Funding

Sanming Project of Medicine in Shenzhen No.SZSM20162011Shenzhen Fund for Guangdong Provincical High-level Clinical Key Specialties No.SZGSP006Shenzhen Science and Technology Innovation Commission for Research and Development Project JSGG20200207161928126Shenzhen Second People's Hospital Clinical Research Fund of Guangdong Province High-level Hospital Construction Project No.20193357004
6 · The paper itself

Abstract

backgroundIn this study, we aimed to perform a comprehensive analysis on the metagenomic next-generation sequencing for the etiological diagnosis of septic patients, and further to establish optimal read values for detecting common pathogens.

methodsIn this single-center retrospective study, septic patients who underwent pathogen detection by both microbial culture and metagenomic next-generation sequencing in the intensive care unit of the Second People's Hospital of Shenzhen from June 24, 2015, to October 20, 2019, were included.

resultsA total of 193 patients with 305 detected specimens were included in the final analysis. The results of metagenomic next-generation sequencing showed significantly higher positive rates in samples from disparate loci, including blood, bronchoalveolar lavage fluid, and cerebrospinal fluid, as well as in the determination of various pathogens. The optimal diagnostic reads were 2893, 1825.5, and 892.5 for Acinetobacter baumannii, Pseudomonas aeruginosa, and Klebsiella pneumoniae, respectively.

conclusionsThe metagenomic next-generation sequencing is capable of identifying multiple pathogens in specimens from septic patients, and shows significantly higher positive rates than culture-based diagnostics. The optimal diagnostic reads for frequently detected microbes might be useful for the clinical application of metagenomic next-generation sequencing in terms of timely and accurately determining etiological pathogens for suspected and confirmed cases of sepsis due to well-performed data interpretation.

Indexed as

MetagenomicsSepsisHigh-Throughput Nucleotide SequencingHumansMetagenomeRetrospective StudiesIntensive care unitsMetagenomic next-generation sequencingMicrobial culturePathogensSepsis

Identifiers

PMID34915851
PMCPMC8675530
OpenAlexW4200518499

What OpenQuestion holds

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Registered trials

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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.