Evidence map›Paper›PMID 36017370›Full record

ArticleFrontiers in cellular and infection microbiology2022

Potential clinical impact of metagenomic next-generation sequencing of plasma for cervical spine injury with sepsis in intensive care unit: A retrospective study.

Jian Wan, Liwei Duan, Qitong Chen, Lv Wang, Jinxia Bai, Jingyun Hu, Xinyuan Lu, Tao Zhang, Wei Song, Degang Yang and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 41% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Jian WanDepartment of Emergency and Critical Care Medicine, Shanghai Pudong New Area People's Hospital, Shanghai, China.
Liwei DuanDepartment of Emergency and Critical Care Medicine, Shanghai Changzheng Hospital, Shanghai, China.
Qitong ChenDepartment of Emergency and Critical Care Medicine, Shanghai Changzheng Hospital, Shanghai, China.
Lv WangDepartment of Emergency and Critical Care Medicine, Shanghai Changzheng Hospital, Shanghai, China.
Jinxia BaiDepartment of Emergency and Critical Care Medicine, Shanghai Pudong New Area People's Hospital, Shanghai, China.
Jingyun HuCentral Lab, Shanghai Key Laboratory of Pathogenic Fungi Medical Testing, Shanghai Pudong New Area People's Hospital, Shanghai, China.
Xinyuan LuDepartment of Emergency and Critical Care Medicine, Shanghai Pudong New Area People's Hospital, Shanghai, China.
Tao ZhangDepartment of Emergency and Critical Care Medicine, Shanghai Pudong New Area People's Hospital, Shanghai, China.
Wei SongDepartment of Emergency and Critical Care Medicine, Shanghai Pudong New Area People's Hospital, Shanghai, China.
Degang YangDepartment of Infectious Diseases, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China.
Yi ShanDepartment of Emergency and Critical Care Medicine, Shanghai Changzheng Hospital, Shanghai, China.
Zhu YanDepartment of Emergency and Critical Care Medicine, Shanghai Changzheng Hospital, Shanghai, China.
Pudong New Area People's Hospital · CNShanghai Changzheng Hospital · CNShanghai Skin Disease Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical spine injury (CSI) accounts for significant mortality in the intensive care unit (ICU), whereas sepsis remains one of the major causes of death in patients with CSI. However, there is no effective method to diagnose sepsis timely. The aim of this study is to investigate the effect of metagenomic next-generation sequencing (mNGS) on the pathogen features and the prognostic prediction of CSI patients with sepsis. A total of 27 blood samples from 17 included patients were tested by mNGS. Data of mNGS were compared with the conventional culture method. The Kaplan-Meier plots were used to visualize survival curves. A Cox proportional hazards model was used to identify independent prognostic factors for survival. Results showed that mNGS detected a wide spectrum of pathogens in CSI patients with sepsis, including 129 bacterial species, 8 viral species, and 51 fungal species. mNGS indicated 85.2% positive results, while the conventional culture method only showed 11.1% positive results in the blood samples. Further analyses revealed that mNGS had no prognostic effect on the septic CSI patients in ICU, whereas positive results of blood culture were closely correlated with an increased hazard ratio (HR) (HR 77.7067, 95%CI 2.860-2641.4595,

Indexed as

MetagenomicsSepsisCervical VertebraeHigh-Throughput Nucleotide SequencingHumansIntensive Care UnitsRetrospective StudiesSensitivity and Specificitya retrospective studycervical spine injuryICUmetagenomic next-generation sequencingsepsis

Identifiers

PMID36017370
PMCPMC9397569
OpenAlexW4290737131

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.