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Centre for Policy on Ageing | |
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Diagnosing Alzheimer's disease non-clinicians and computerised algorithms together are as accurate as the best clinical practice | Author(s) | Catherine M L Foy, Helen Nicholas, Paul Hollingworth |
Journal title | International Journal of Geriatric Psychiatry, vol 22, no 11, November 2007 |
Pages | pp 1154-1163 |
Source | http://www.interscience.wiley.com |
Keywords | Dementia ; Diagnosis ; Computers ; Screening ; Postmortems ; Evaluation. |
Annotation | An accurate diagnosis of Alzheimer's disease (AD) and an exclusion of other dementias is important in many clinical studies. Obtaining such a clinical diagnosis in epidemiological studies and clinical trials that recruit large numbers of patients is time-consuming. The authors constructed a computerised algorithm to generate diagnosis of Alzheimer's disease, dementia with Lewy body (DLB), frontotemporal dementia (FTD), vascular dementia or to flag the case as needing a clinical review based on a limited number of data points taken from a largely structured interview using widely used scales. The diagnosis generated in life by the algorithm in a prospective, longitudinal study was compared to definitive diagnosis at post mortem. Post mortem diagnoses were available for 43 cases. The positive predictive value of the algorithm was greater than 95%. AD was diagnosed by the algorithm at post mortem in 36 of the cases. Two cases with FTD were wrongly diagnosed as having AD by the algorithm, 5 cases were flagged as needing a clinical review due to concomitant medical conditions of whom 4 had AD and one, who had been diagnosed clinically as having AD, was diagnosed post mortem with corticobasal degeneration. A combination of non-clinical researchers, a structured interview and a computerised algorithm is as effective at identifying AD as highly trained and skilled clinicians. (RH). |
Accession Number | CPA-071206224 A |
Classmark | EA: LK7 3O: 3V: JVP: 4C |
Data © Centre for Policy on Ageing |
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...from the Ageinfo database published by Centre for Policy on Ageing. |
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