Evidence map›Paper›PMID 36777850›Full record

ArticleAmerican journal of translational research2023

Clinical application and drug-use-guidance value of metagenomic next-generation sequencing in central nervous system infection.

Ke Lin, Hao-Cheng Zhang, Yi Zhang, Yang Zhou, Zhang-Fan Fu, Hong-Yu Wang, Yuan-Han Zhao, Chao Qiu, Ming-Xiang Fan, Jie-Yu Song and 2 more

Abstract read
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Article in American journal of translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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.

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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

12 authors.

Ke LinDepartment of Infectious Disease of Huashan Hospital, National Medical Center for Infectious Diseases and Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Fudan University Shanghai 200040, China.
Hao-Cheng ZhangDepartment of Infectious Disease of Huashan Hospital, National Medical Center for Infectious Diseases and Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Fudan University Shanghai 200040, China.
Yi ZhangDepartment of Infectious Disease of Huashan Hospital, National Medical Center for Infectious Diseases and Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Fudan University Shanghai 200040, China.
Yang ZhouDepartment of Infectious Disease of Huashan Hospital, National Medical Center for Infectious Diseases and Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Fudan University Shanghai 200040, China.
Zhang-Fan FuDepartment of Infectious Disease of Huashan Hospital, National Medical Center for Infectious Diseases and Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Fudan University Shanghai 200040, China.
Hong-Yu WangDepartment of Infectious Disease of Huashan Hospital, National Medical Center for Infectious Diseases and Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Fudan University Shanghai 200040, China.
Yuan-Han ZhaoDepartment of Infectious Disease of Huashan Hospital, National Medical Center for Infectious Diseases and Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Fudan University Shanghai 200040, China.
Chao QiuDepartment of Infectious Disease of Huashan Hospital, National Medical Center for Infectious Diseases and Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Fudan University Shanghai 200040, China.
Ming-Xiang FanDepartment of Urology, Tongji Hospital, School of Medicine, Tongji University Shanghai 200065, China.
Jie-Yu SongDepartment of Infectious Disease of Huashan Hospital, National Medical Center for Infectious Diseases and Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Fudan University Shanghai 200040, China.
Jing-Wen AiDepartment of Infectious Disease of Huashan Hospital, National Medical Center for Infectious Diseases and Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Fudan University Shanghai 200040, China.
Wen-Hong ZhangDepartment of Infectious Disease of Huashan Hospital, National Medical Center for Infectious Diseases and Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Fudan University Shanghai 200040, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTimely and precise etiology diagnosis is crucial for optimized medication regimens and better prognosis in central nervous system infections (CNS infections). We aimed to analyze the impact of mNGS tests on the management of patients with CNS infections.

methodsWe conducted a single-center retrospective cohort study to analyze the value of mNGS in clinical applications. Three hundred sixty-nine patients with a CNS infection diagnosis were enrolled, and their clinical data were collected. CDI and DDI were defined in our study to describe the intensity of drug use in different groups. We used LOH and mRS to evaluate if the application of mNGS can benefit CNS infected patients.

resultsmNGS reported a 91.67% sensitivity in culture-positive patients and an 88.24% specificity compared with the final diagnoses. Patients who participated with the mNGS test had less drug use, both total (58.77 vs. 81.18) and daily (22.6 vs. 28.12, P < 0.1, McNemar) intensity of drug use, and length of hospitalization (23.14 vs. 24.29). Patients with a consciousness grading 1 and 3 had a decrease in CDI (Grade 1, 86.49 vs. 173.37; Grade 3, 48.18 vs. 68.21), DDI (Grade 1, 1.52 vs. 2.72; Grade 3, 2.3 vs. 2.45), and LOH (Grade 1, 32 vs. 40; Grade 3, 21 vs. 23) with the application of mNGS. Patients infected with bacteria in the CNS had a reduced CDI, DDI, and LOH in the mNGS group. This was compared with the TraE group that had 49% of patients altered medication plans, and 24.7% of patients reduced drug intensity four days after mNGS reports. This was because of the reduction of drug types.

conclusionmNGS showed its high sensitivity and specificity characteristics. mNGS may assist clinicians with more rational medication regimens and reduce the drug intensity for patients. The primary way of achieving this is to reduce the variety of drugs, especially for severe patients and bacterial infections. mNGS has the ability of improving the prognosis of CNS infected patients.

Indexed as

central nervous system infectiondiagnosedrug intensityMetagenomic next-generation sequencingprognosis

Identifiers

PMID36777850
PMCPMC9908477

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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.