NCT04457908

Brief Summary

This is a multi-center, randomized, double-blind, parallel-controlled, prospective study to compare the effectiveness and cost-effectiveness of intelligent and doctor groups for gait disorder screening. Clinical data, including demographic characteristics, socioeconomic level, medical history, assessment of neurological function, laboratory tests, imaging tests, health service utilization, and costs will be collected from the subjects. All subjects will be divided into an intelligent group and a doctor group according to a 1:1 ratio. The intelligent group will undergo intelligent system evaluation, and the doctor group will undergo the clinician's conventional treatment process. At the same time, all the subjects will undergo gold-standard panel gait and cognitive rating scale assessments.

Trial Health

35
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
1,000

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Jul 2020

Shorter than P25 for not_applicable

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

July 1, 2020

Completed
Same day until next milestone

Study Start

First participant enrolled

July 1, 2020

Completed
6 days until next milestone

First Posted

Study publicly available on registry

July 7, 2020

Completed
4 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 31, 2020

Completed
2 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2020

Completed
Last Updated

July 7, 2020

Status Verified

October 1, 2019

Enrollment Period

4 months

First QC Date

July 1, 2020

Last Update Submit

July 1, 2020

Conditions

Outcome Measures

Primary Outcomes (1)

  • Sensitivity

    Compared with the gold standard panel of neurology, the sensitivity of the intelligent system and clinicians to screen for gait disorders

    baseline

Secondary Outcomes (5)

  • Specificity

    baseline

  • Coincidence

    baseline

  • Yoden index

    baseline

  • Positive predictive value and negative predictive value

    baseline

  • Cost and cost-effectiveness

    baseline

Study Arms (2)

intelligent

OTHER

receive the neurological function assessment by artificial intelligence

Diagnostic Test: intelligent assessment

manual

NO INTERVENTION

receive the neurological function assessment by doctor

Interventions

intelligent assessmentDIAGNOSTIC_TEST

intelligent neurological function assessment

intelligent

Eligibility Criteria

Age60 Years - 85 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Aged between 60 and 85 years.
  • Diagnosed with silent cerebrovascular disease/silent stroke, which is consistent with the 2016 statement issued by the American Heart Association (AHA) and American Stroke Association (ASA):
  • No previous clear history of stroke and no clinical symptoms or mild clinical symptoms that fail to attract clinical attention;
  • Cranial MRI showing at least one of the following within 5 years: lacunar infarct of vascular origin, white matter hyperintensity of vascular origin, cerebral microbleeds;
  • Consciousness and ability to complete cognitive assessment
  • Ability to stand and walk independently and complete gait assessment without assistance from others.
  • Ability to sign the informed consent.

You may not qualify if:

  • Intracranial lesions that have been clearly diagnosed as demyelination disease, white matter dystrophy, intracranial space-occupying lesions, or autoimmune encephalitis.
  • Gait disorder that has been diagnosed as Parkinson's disease, normal cranial hydrocephalus, an otogenic disease, subacute combined degeneration, peripheral neuropathy, osteoarthritis, or lumbar disease.
  • Cognitive disorders that have been diagnosed, such as Alzheimer's disease, frontotemporal dementia, Lewy body dementia, etc.
  • Severe neurological diseases such as previous cerebral trauma, epilepsy, and myelopathy, etc.
  • Severe cardiovascular complications and intolerance to the assessment
  • Severe visual or hearing impairment, aphasia, cognitive disorder, gait disorder, etc., that results in the inability to cooperate for cognitive and gait assessment
  • Refusal to participate in the study

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Related Publications (19)

  • Poels MM, Steyerberg EW, Wieberdink RG, Hofman A, Koudstaal PJ, Ikram MA, Breteler MM. Assessment of cerebral small vessel disease predicts individual stroke risk. J Neurol Neurosurg Psychiatry. 2012 Dec;83(12):1174-9. doi: 10.1136/jnnp-2012-302381. Epub 2012 Aug 23.

    PMID: 22917672BACKGROUND
  • Kim BJ, Lee SH. Prognostic Impact of Cerebral Small Vessel Disease on Stroke Outcome. J Stroke. 2015 May;17(2):101-10. doi: 10.5853/jos.2015.17.2.101. Epub 2015 May 29.

    PMID: 26060797BACKGROUND
  • Sachdev PS, Wen W, Christensen H, Jorm AF. White matter hyperintensities are related to physical disability and poor motor function. J Neurol Neurosurg Psychiatry. 2005 Mar;76(3):362-7. doi: 10.1136/jnnp.2004.042945.

    PMID: 15716527BACKGROUND
  • Murray ME, Senjem ML, Petersen RC, Hollman JH, Preboske GM, Weigand SD, Knopman DS, Ferman TJ, Dickson DW, Jack CR Jr. Functional impact of white matter hyperintensities in cognitively normal elderly subjects. Arch Neurol. 2010 Nov;67(11):1379-85. doi: 10.1001/archneurol.2010.280.

    PMID: 21060015BACKGROUND
  • Wakefield DB, Moscufo N, Guttmann CR, Kuchel GA, Kaplan RF, Pearlson G, Wolfson L. White matter hyperintensities predict functional decline in voiding, mobility, and cognition in older adults. J Am Geriatr Soc. 2010 Feb;58(2):275-81. doi: 10.1111/j.1532-5415.2009.02699.x. Epub 2010 Jan 26.

    PMID: 20374403BACKGROUND
  • Debette S, Markus HS. The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis. BMJ. 2010 Jul 26;341:c3666. doi: 10.1136/bmj.c3666.

    PMID: 20660506BACKGROUND
  • Brickman AM, Provenzano FA, Muraskin J, Manly JJ, Blum S, Apa Z, Stern Y, Brown TR, Luchsinger JA, Mayeux R. Regional white matter hyperintensity volume, not hippocampal atrophy, predicts incident Alzheimer disease in the community. Arch Neurol. 2012 Dec;69(12):1621-7. doi: 10.1001/archneurol.2012.1527.

    PMID: 22945686BACKGROUND
  • Maillard P, Carmichael O, Fletcher E, Reed B, Mungas D, DeCarli C. Coevolution of white matter hyperintensities and cognition in the elderly. Neurology. 2012 Jul 31;79(5):442-8. doi: 10.1212/WNL.0b013e3182617136. Epub 2012 Jul 18.

    PMID: 22815562BACKGROUND
  • Smith EE, Saposnik G, Biessels GJ, Doubal FN, Fornage M, Gorelick PB, Greenberg SM, Higashida RT, Kasner SE, Seshadri S; American Heart Association Stroke Council; Council on Cardiovascular Radiology and Intervention; Council on Functional Genomics and Translational Biology; and Council on Hypertension. Prevention of Stroke in Patients With Silent Cerebrovascular Disease: A Scientific Statement for Healthcare Professionals From the American Heart Association/American Stroke Association. Stroke. 2017 Feb;48(2):e44-e71. doi: 10.1161/STR.0000000000000116. Epub 2016 Dec 15.

    PMID: 27980126BACKGROUND
  • Leary MC, Saver JL. Annual incidence of first silent stroke in the United States: a preliminary estimate. Cerebrovasc Dis. 2003;16(3):280-5. doi: 10.1159/000071128.

    PMID: 12865617BACKGROUND
  • Kim YJ, Kwon HK, Lee JM, Cho H, Kim HJ, Park HK, Jung NY, San Lee J, Lee J, Jang YK, Kim ST, Lee KH, Choe YS, Kim YJ, Na DL, Seo SW. Gray and white matter changes linking cerebral small vessel disease to gait disturbances. Neurology. 2016 Mar 29;86(13):1199-207. doi: 10.1212/WNL.0000000000002516. Epub 2016 Mar 2.

    PMID: 26935893BACKGROUND
  • de Laat KF, van Norden AG, Gons RA, van Oudheusden LJ, van Uden IW, Bloem BR, Zwiers MP, de Leeuw FE. Gait in elderly with cerebral small vessel disease. Stroke. 2010 Aug;41(8):1652-8. doi: 10.1161/STROKEAHA.110.583229. Epub 2010 Jun 24.

    PMID: 20576951BACKGROUND
  • Montero-Odasso MM, Sarquis-Adamson Y, Speechley M, Borrie MJ, Hachinski VC, Wells J, Riccio PM, Schapira M, Sejdic E, Camicioli RM, Bartha R, McIlroy WE, Muir-Hunter S. Association of Dual-Task Gait With Incident Dementia in Mild Cognitive Impairment: Results From the Gait and Brain Study. JAMA Neurol. 2017 Jul 1;74(7):857-865. doi: 10.1001/jamaneurol.2017.0643.

    PMID: 28505243BACKGROUND
  • Wardlaw JM, Smith EE, Biessels GJ, Cordonnier C, Fazekas F, Frayne R, Lindley RI, O'Brien JT, Barkhof F, Benavente OR, Black SE, Brayne C, Breteler M, Chabriat H, Decarli C, de Leeuw FE, Doubal F, Duering M, Fox NC, Greenberg S, Hachinski V, Kilimann I, Mok V, Oostenbrugge Rv, Pantoni L, Speck O, Stephan BC, Teipel S, Viswanathan A, Werring D, Chen C, Smith C, van Buchem M, Norrving B, Gorelick PB, Dichgans M; STandards for ReportIng Vascular changes on nEuroimaging (STRIVE v1). Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. Lancet Neurol. 2013 Aug;12(8):822-38. doi: 10.1016/S1474-4422(13)70124-8.

    PMID: 23867200BACKGROUND
  • Vermeer SE, Longstreth WT Jr, Koudstaal PJ. Silent brain infarcts: a systematic review. Lancet Neurol. 2007 Jul;6(7):611-9. doi: 10.1016/S1474-4422(07)70170-9.

  • Vermeer SE, Hollander M, van Dijk EJ, Hofman A, Koudstaal PJ, Breteler MM; Rotterdam Scan Study. Silent brain infarcts and white matter lesions increase stroke risk in the general population: the Rotterdam Scan Study. Stroke. 2003 May;34(5):1126-9. doi: 10.1161/01.STR.0000068408.82115.D2. Epub 2003 Apr 10.

  • Verghese J, Lipton RB, Hall CB, Kuslansky G, Katz MJ, Buschke H. Abnormality of gait as a predictor of non-Alzheimer's dementia. N Engl J Med. 2002 Nov 28;347(22):1761-8. doi: 10.1056/NEJMoa020441.

  • Dumurgier J, Artaud F, Touraine C, Rouaud O, Tavernier B, Dufouil C, Singh-Manoux A, Tzourio C, Elbaz A. Gait Speed and Decline in Gait Speed as Predictors of Incident Dementia. J Gerontol A Biol Sci Med Sci. 2017 May 1;72(5):655-661. doi: 10.1093/gerona/glw110.

  • Fei B, Zhao J, Li X, Tang Y, Qin G, Zhang W, Ding J, Hu M, Wang X. 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. BMJ Open. 2022 Mar 24;12(3):e055880. doi: 10.1136/bmjopen-2021-055880.

Study Officials

  • Jing Ding, MD

    Shanghai Zhongshan Hospital

    STUDY DIRECTOR

Central Study Contacts

Beini Fei, MB

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
DOUBLE
Who Masked
PARTICIPANT, CARE PROVIDER
Purpose
DIAGNOSTIC
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

July 1, 2020

First Posted

July 7, 2020

Study Start

July 1, 2020

Primary Completion

October 31, 2020

Study Completion

December 31, 2020

Last Updated

July 7, 2020

Record last verified: 2019-10

Data Sharing

IPD Sharing
Will not share