Evidence map›Paper›PMID 34998377›Full record

ArticleBMC infectious diseases2022

Optimal encephalitis/meningitis roadmap via precise diagnosis and treatment (IMPROVE): a study protocol for a randomized controlled trial.

Yi Zhang, Haocheng Zhang, Bo Deng, Ke Lin, Lei Jin, Xiaoni Liu, Yanlin Zhang, Xiaohua Chen, Yanliang Zhang, Shengjia Lu and 12 more

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04946682 (Optimal Encephalitis/Meningitis Roadmap Via Precise Diagnosis and Treatment), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT04946682 naunknown statusnot on this map

Optimal Encephalitis/Meningitis Roadmap Via Precise Diagnosis and Treatment

TypeinterventionalSponsorWen-hong ZhangRan2021 to 2023Enrolled484ConditionsEncephalitis, Meningitis, Meningoencephalitis, Next-Generation SequencingArmsTypes of etiological diagnostic methods
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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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

22 authors.

Yi Zhang *Department of Infectious Diseases, National Medical Center for Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Haocheng Zhang *Department of Infectious Diseases, National Medical Center for Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Bo Deng *Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
Ke Lin *Department of Infectious Diseases, National Medical Center for Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Lei JinDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
Xiaoni LiuDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
Yanlin ZhangDepartment of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Xiaohua ChenDepartment of Infectious Diseases, Shanghai Sixth People's Hospital Affiliated to Shanghai JiaoTong University, Shanghai, China.
Yanliang ZhangDepartment of Infectious Diseases, Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, China.
Shengjia LuDepartment of Neurology, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang Province, China.
Heqing HuangDepartment of Infectious Diseases, Zhuji People's Hospital of Zhejiang Province, Shaoxing, Zhejiang Province, China.
Qiujing WangDepartment of Infectious Diseases, Zhoushan Hospital of Zhejiang Province, Zhoushan, Zhejiang Province, China.
Tingting FengDepartment of Infectious Diseases, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Weifeng ZhaoDepartment of Infectious Diseases, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Qun XueDepartment of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Renfang ChenDepartment of Infectious Diseases, Wuxi No.5 People 's Hospital, Wuxi, Jiangsu Province, China.
Jingbo ZhangDepartment of Neurology, Blue Cross Brain Hospital, Shanghai, China.
Xiaoyan QianDepartment of Neurology, The first people's hospital of Kunshan, Suzhou, Jiangsu Province, China.
Lanlan ChenDepartment of Neurology, Northern Jiangsu People's Hospital, Yangzhou, Jiangsu Province, China.
Jingwen AiDepartment of Infectious Diseases, National Medical Center for Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Huashan Hospital, Fudan University, Shanghai, 200040, China. jingwenai1990@126.com.
Xiangjun ChenDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, China. xiangjchen@fudan.edu.cn.
Wenhong ZhangDepartment of Infectious Diseases, National Medical Center for Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Huashan Hospital, Fudan University, Shanghai, 200040, China. wenhongzhang_hs@126.com.

Funding

Key Discipline Construction Plan from Shanghai Municipal Health Commission GWV-10.1-XK01Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response 20dz2260100Young Scientists Fund 82002141
6 · The paper itself

Abstract

backgroundEncephalitis/meningitis brings a heavy disease burden, and the origin of disease remains unknown in 30-40% of patients. It is greatly significant that combinations of nucleic acid amplification and autoimmune antibody testing improves the diagnosis and treatment of encephalitis/meningitis. Moreover, though several diagnostic methods are in clinical use, a recognized and unified diagnosis and treatment process for encephalitis management remains unclear.

methodsIMPROVE is a multicenter, open label, randomized controlled clinical trial that aims to evaluate the diagnostic performance, applications, and impact on patient outcomes of a new diagnostic algorithm that combines metagenomic next-generation sequencing (mNGS), multiplex polymerase chain reaction (PCR) and autoimmune antibody testing. The enrolled patients will be grouped into two parallel groups, multiplex PCR test plus autoimmune antibody group (Group I) or the mNGS plus autoimmune antibody group (Group II) with a patient ratio of 1:1. Both groups will be followed up for 12 months. The primary outcomes include the initial time of targeted treatment and the modified Rankin scale score on the 30th day of the trial. The secondary outcomes are the cerebrospinal fluid index remission rate on the 14th day, mortality rate on the 30th day, and an evaluation of diagnostic efficacy. The two groups are predicted to comprise of 484 people in total. DISCUSSION: To optimize the roadmap of encephalitis/meningitis, precise diagnosis, and treatment are of great significance. The effect of rapid diagnosis undoubtedly depends on the progression of new diagnostic tests, such as the new multiplex PCR, mNGS, and examination of broad-spectrum autoimmune encephalitis antibodies. This randomized-controlled study could allow us to obtain an accurate atlas of the precise diagnostic ability of these tests and their effect on the treatment and prognosis of patients. Trial registration ClinicalTrial.gov, NCT04946682. Registered 29 June 2021, 'Retrospectively registered', https://clinicaltrials.gov/ct2/show/NCT04946682?term=NCT04946682&draw=2&rank=1.

Indexed as

EncephalitisMeningitisHumansMetagenomeMulticenter Studies as TopicRandomized Controlled Trials as TopicTreatment OutcomeDiagnosisEncephalitisMeningitisMulticenterRandomized trialTreatment

Identifiers

PMID34998377
PMCPMC8742395

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Registered trials

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.