{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Kouzuki M"],"funding":["Japan Society for the Promotion of Science"],"pagination":["457"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9727980"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["22(1)"],"pubmed_abstract":["<h4>Background</h4>In the present study, we examined the distinguishing ability of a mild cognitive impairment (MCI) assessment tool for rapid screening using a computer (MARC) for Alzheimer's disease dementia (ADD), MCI, and non-demented controls (NDC) with no cognitive impairment, as well as its validity and reliability, as part of a preliminary trial for the development of the tool.<h4>Methods</h4>A total of 64 participants (23 in the ADD group, 17 in the MCI group, and 24 in the NDC group) were analyzed. The participants were administered MARC and a pre-existing computerized Alzheimer's dementia screening test (MSP), and 31 participants (14 in the MCI group, 17 in the NDC group) were readministered MARC within 4 months from the first test.<h4>Results</h4>The median (interquartile range) test time for MARC was 401 (350-453) s. Total MARC scores were significantly worse in the MCI and ADD groups than in the NDC group (p < 0.05 and p < 0.01, respectively). In the receiver operating characteristic (ROC) analysis, the area under the ROC curve (AUC) when comparing the NDC and MCI groups was 0.866 (95% CI, 0.759-0.974), when comparing the NDC and AD groups was 0.989 (95% CI, 0.970-1.000), and when comparing the MCI and AD groups was 0.889 (95% CI, 0.790-0.988). Furthermore, there was a significant correlation with the results of the existing test, MSP (r = 0.839, p < 0.001). In addition, the intraclass correlation coefficient (ICC) (1,1) when the first and second MARC scores were compared was 0.740 (95% CI, 0.529-0.865; p < 0.001).<h4>Conclusions</h4>MARC is considered capable of distinguishing MCI with high accuracy. The tool has good validity and reliability, and it can be administered in a short period of time without the need for a specialist."],"journal":["BMC neurology"],"pubmed_title":["Validation of a novel computerized cognitive function test for the rapid detection of mild cognitive impairment."],"pmcid":["PMC9727980"],"funding_grant_id":["JP19K19460"],"pubmed_authors":["Miyamoto M","Tanaka N","Urakami K","Kouzuki M"],"additional_accession":[]},"is_claimable":false,"name":"Validation of a novel computerized cognitive function test for the rapid detection of mild cognitive impairment.","description":"<h4>Background</h4>In the present study, we examined the distinguishing ability of a mild cognitive impairment (MCI) assessment tool for rapid screening using a computer (MARC) for Alzheimer's disease dementia (ADD), MCI, and non-demented controls (NDC) with no cognitive impairment, as well as its validity and reliability, as part of a preliminary trial for the development of the tool.<h4>Methods</h4>A total of 64 participants (23 in the ADD group, 17 in the MCI group, and 24 in the NDC group) were analyzed. The participants were administered MARC and a pre-existing computerized Alzheimer's dementia screening test (MSP), and 31 participants (14 in the MCI group, 17 in the NDC group) were readministered MARC within 4 months from the first test.<h4>Results</h4>The median (interquartile range) test time for MARC was 401 (350-453) s. Total MARC scores were significantly worse in the MCI and ADD groups than in the NDC group (p < 0.05 and p < 0.01, respectively). In the receiver operating characteristic (ROC) analysis, the area under the ROC curve (AUC) when comparing the NDC and MCI groups was 0.866 (95% CI, 0.759-0.974), when comparing the NDC and AD groups was 0.989 (95% CI, 0.970-1.000), and when comparing the MCI and AD groups was 0.889 (95% CI, 0.790-0.988). Furthermore, there was a significant correlation with the results of the existing test, MSP (r = 0.839, p < 0.001). In addition, the intraclass correlation coefficient (ICC) (1,1) when the first and second MARC scores were compared was 0.740 (95% CI, 0.529-0.865; p < 0.001).<h4>Conclusions</h4>MARC is considered capable of distinguishing MCI with high accuracy. The tool has good validity and reliability, and it can be administered in a short period of time without the need for a specialist.","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Dec","modification":"2025-04-19T06:36:39.976Z","creation":"2025-04-19T06:36:39.976Z"},"accession":"S-EPMC9727980","cross_references":{"pubmed":["36476188"],"doi":["10.1186/s12883-022-02997-4"]}}