Evidence map›Paper›PMID 36357004›Full record

ArticleBMJ open2022

Multicentre registration of wake-up stroke in China (MCRWUSC): a protocol for a prospective, multicentre, registry-based cohort study.

Zengyu Zhang, Hualan Yang, Zhilan Tu, Gaurav Nepal, Rajeev Ojha, Yan Xi, Jianlan Qiao, Mengting Hu, Chao Li, Fuchun Lin and 3 more

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Zengyu Zhang *Department of Neurology, Shanghai Pudong Hospital, Fudan University, Shanghai, China.ORCID 0000-0002-2751-3901
Hualan Yang *Department of Neurology, Shanghai Pudong Hospital, Fudan University, Shanghai, China.
Zhilan TuDepartment of Neurology, Shanghai Pudong Hospital, Fudan University, Shanghai, China.
Gaurav NepalDepartment of Internal Medicine, Maharajgunj Medical Campus, Tribhuvan University Institute of Medicine, Kathmandu, Nepal.
Rajeev OjhaDepartment of Neurology, Maharajgunj Medical Campus, Tribhuvan University Institute of Medicine, Kathmandu, Nepal.
Yan XiDepartment of Radiology, Shanghai Pudong Hospital, Fudan University, Shanghai, China.
Jianlan QiaoDepartment of Radiology, Shanghai Pudong Hospital, Fudan University, Shanghai, China.
Mengting HuDepartment of Neurology, Shanghai Pudong Hospital, Fudan University, Shanghai, China.
Chao LiSchool of Pharmacy, Hubei University of Science and Technology, Hubei, China.
Fuchun LinDepartment of Neurology, Shanghai Pudong Hospital, Fudan University, Shanghai, China.
Lili ZhouDepartment of Neurology, Shanghai Pudong Hospital, Fudan University, Shanghai, China.
Pengpeng JinDepartment of Chronic Disease Management, Shanghai Pudong Hospital, Fudan University, Shanghai, China housx021@163.com jinpp021@163.com.
Shuangxing HouDepartment of Neurology, Shanghai Pudong Hospital, Fudan University, Shanghai, China housx021@163.com jinpp021@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWake-up stroke (WUS) is a type of acute ischaemic stroke (AIS) that occurs during sleep with unknown time of symptom onset. The best treatment is usually not suitable for WUS, as thrombolysis is usually provided to patients who had a symptomatic AIS within a definite 4.5 hours, and WUS remains a therapeutic quandary. Efforts to explore the onset time characteristics of patients who had a WUS and the risk factors affecting poor prognosis support a role for providing new insights by performing multicentre cohort study. METHODS AND ANALYSIS: This multicentre, nationwide prospective registry will include 21 comprehensive stroke centres, with a goal of recruiting 550 patients who had a WUS in China. In this study, clinical data including patient's clinical characteristics, stroke onset time, imaging findings, therapeutic interventions and prognosis (the National Institutes of Health Stroke Scale Score and the modified Rankin Scale Score at different time points) will be used to develop prediction models for stroke onset time and prognostic evaluation using the fast-processing of ischemic stroke software. The purpose of this study is to identify risk factors influencing prognosis, to investigate the relationship between the time when the symptoms are found and the actual onset time and to establish an artificial intelligence-based model to predict the prognosis of patients who had a WUS. ETHICS AND DISSEMINATION: This study is approved by the ethics committee of Shanghai Pudong Hospital (Shanghai, China) and rest of all participating centres. The findings will be disseminated through peer-reviewed publications and conference presentations. PROSPERO REGISTRATION NUMBER: ChiCTR2100049133.

Indexed as

Brain IschemiaIschemic StrokeStrokeArtificial IntelligenceChinaCohort StudiesHumansMulticenter Studies as TopicRegistriesThrombolytic TherapyTreatment OutcomeAdult neurologyClinical trialsGERIATRIC MEDICINEMagnetic resonance imagingStroke

Identifiers

PMID36357004
PMCPMC9660665

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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.