Your browser doesn't support javascript.
Randomised parallel trial on the effectiveness and cost-effectiveness in screening gait disorder of silent cerebrovascular disease assisted by artificial intelligent system versus clinical doctors (ACCURATE-1): study protocol.
Fei, Beini; Zhao, Jin; Li, Xin; Tang, Yanmin; Qin, Guoyou; Zhang, Wei; Ding, Jing; Hu, Min; Wang, Xin.
  • Fei B; Department of Neurology, Zhongshan Hospital Fudan University, Shanghai, Shanghai, China.
  • Zhao J; Department of Health Economics, Fudan University, Shanghai, China.
  • Li X; Department of Neurology, Zhongshan Hospital Fudan University, Shanghai, Shanghai, China.
  • Tang Y; Department of Neurology, Zhongshan Hospital Fudan University, Shanghai, Shanghai, China.
  • Qin G; Department of Biostatistics, Fudan University, Shanghai, China.
  • Zhang W; Department of Biostatistics, Fudan University, Shanghai, China.
  • Ding J; Department of Neurology, Zhongshan Hospital Fudan University, Shanghai, Shanghai, China.
  • Hu M; Department of Health Economics, Fudan University, Shanghai, China.
  • Wang X; Department of Neurology, Zhongshan Hospital Fudan University, Shanghai, Shanghai, China wang.xin@zs-hospital.sh.cn.
BMJ Open ; 12(3): e055880, 2022 03 24.
Article in English | MEDLINE | ID: covidwho-1765125
ABSTRACT
IntroductionSilent cerebrovascular disease (SCD), which is a common disease in the elderly, leads to cognitive decline, gait disorders, depression and urination dysfunction, and increases the risk of cerebrovascular events. Our study aims to compare the accuracy of the diagnosis of SCD-related gait disorders between the intelligent system and the clinician. Our team have developed an intelligent evaluation system for gait. This study will evaluate whether the intelligent system can help doctors make clinical decisions and predictions, which aids the early prevention and treatment of SCD. METHODS AND

ANALYSIS:

This study is a multi-centred, prospective, randomised and controlled trial.SCD subjects aged 60-85 years in Shanghai and Guizhou will be recruited continuously. All subjects will randomly be divided into a doctor with intelligence assistance group or a doctor group, at a 11 ratio. The doctor and intelligent assistant group will accept the intelligent system evaluation. The intelligent system obtains gait parameters by an Red-Green-Blue-depth camera and computer vision algorithm. The doctor group will accept the clinicians' routine treatment procedures. Meanwhile, all subjects will accept the panel's gait assessment and recognition rating scale as the gold standard. The primary outcome is the sensitivity of the intelligent system and clinicians to screen for gait disorders. The secondary outcomes include the healthcare costs and the incremental cost effectiveness ratio of intelligent systems and clinicians to screen for gait disorders. ETHICS AND DISSEMINATION Approval was granted by the Ethics Committee of Zhongshan Hospital affiliated with Fudan University on 26 November 2019. The approval number is B2019-027(2) R. All subjects will sign an informed consent form before enrolment. Serious adverse events will be reported to the main researchers and ethics committees. The subjects' data will be kept strictly confidential. The results will be disseminated in peer-reviewed journals. TRIAL REGISTRATION NUMBER NCT04457908.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Cerebrovascular Disorders / Gait Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Aged / Humans Country/Region as subject: Asia Language: English Journal: BMJ Open Year: 2022 Document Type: Article Affiliation country: Bmjopen-2021-055880

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Cerebrovascular Disorders / Gait Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Aged / Humans Country/Region as subject: Asia Language: English Journal: BMJ Open Year: 2022 Document Type: Article Affiliation country: Bmjopen-2021-055880