SynthesisInternational journal of geriatric psychiatry2018
A systematic review of the diagnostic accuracy of automated tests for cognitive impairment.
Synthesis in International journal of geriatric psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.
- A systematic review of the diagnostic accuracy of automated tests for cognitive impairment.International journal of geriatric psychiatry · 2018Pooled it
- Mini-ACE: Validation Study Among Older People in Long-Term Care.Journal of cognition · 2024Article
- cCOG Web-Based Cognitive Assessment Tool.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Development and validation of a self-administered computerized cognitive assessment based on automatic speech recognition.PloS one · 2024Article
- Validation of a web-based self-administered test for cognitive assessment in a Swedish geriatric setting.PloS one · 2024Article
- Digital Cognitive Assessment Tests for Older Adults: Systematic Literature Review.JMIR mental health · 2023Review
- Impact of sleep deprivation on neurocognition and inflammation in rhesus macaques.Brain, behavior, & immunity - health · 2023Article
- A Novel Computerized Cognitive Test for the Detection of Mild Cognitive Impairment and Its Association with Neurodegeneration in Alzheimer's Disease Prone Brain Regions.Advances in Alzheimer's disease · 2023Article
- Newly self-administered two-step tool for screening cognitive function in an ageing Chinese population: an exploratory cross-sectional study.General psychiatry · 2023Article
- Differentiation of patients with mild cognitive impairment and healthy controls based on computer assisted hand movement analysis: a proof-of-concept study.Scientific reports · 2022Article
- The Hong Kong Grocery Shopping Dialog Task (HK-GSDT): A Quick Screening Test for Neurocognitive Disorders.International journal of environmental research and public health · 2022Article
- Exploring the Clinical Utility of the Music Therapy Assessment Tool for Awareness in Disorders of Consciousness (MATADOC) with People with End-Stage Dementia.Brain sciences · 2022Article
- Discriminating memory disordered patients from controls using diffusion model parameters from recognition memory.Journal of experimental psychology. General · 2022Article
- Neurocognitive impact of Zika virus infection in adult rhesus macaques.Journal of neuroinflammation · 2022Article
- Optimizing cCOG, a Web-based tool, to detect dementia with Lewy Bodies.Alzheimer's & dementia (Amsterdam, Netherlands) · 2022Article
- Cognitive screening for adult psychiatric outpatients: Comparison of the CognivueWorld journal of psychiatry · 2021Article
- Cognitive assessment tools for mild cognitive impairment screening.Journal of neurology · 2021Review
- Usefulness of CogEvo, a computerized cognitive assessment and training tool, for distinguishing patients with mild Alzheimer's disease and mild cognitive impairment from cognitively normal older people.Geriatrics & gerontology international · 2021Article
- cCOG: A web-based cognitive test tool for detecting neurodegenerative disorders.Alzheimer's & dementia (Amsterdam, Netherlands) · 2020Article
- Implementing Remote Memory Clinics to Enhance Clinical Care During and After COVID-19.Frontiers in psychiatry · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveThe aim of this review is to determine whether automated computerised tests accurately identify patients with progressive cognitive impairment and, if so, to investigate their role in monitoring disease progression and/or response to treatment.
methodsSix electronic databases (Medline, Embase, Cochrane, Institute for Scientific Information, PsycINFO, and ProQuest) were searched from January 2005 to August 2015 to identify papers for inclusion. Studies assessing the diagnostic accuracy of automated computerised tests for mild cognitive impairment (MCI) and early dementia against a reference standard were included. Where possible, sensitivity, specificity, positive predictive value, negative predictive value, and likelihood ratios were calculated. The Quality Assessment of Diagnostic Accuracy Studies tool was used to assess risk of bias.
resultsSixteen studies assessing 11 diagnostic tools for MCI and early dementia were included. No studies were eligible for inclusion in the review of tools for monitoring progressive disease and response to treatment. The overall quality of the studies was good. However, the wide range of tests assessed and the non-standardised reporting of diagnostic accuracy outcomes meant that statistical analysis was not possible.
conclusionSome tests have shown promising results for identifying MCI and early dementia. However, concerns over small sample sizes, lack of replicability of studies, and lack of evidence available make it difficult to make recommendations on the clinical use of the computerised tests for diagnosing, monitoring progression, and treatment response for MCI and early dementia. Research is required to establish stable cut-off points for automated computerised tests used to diagnose patients with MCI or early dementia.
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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.