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Updated: Dec 17, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
International consensus on quality indicators for comprehensive assessment of dementia in young adults using a
Mary O'Malley1, Jacqueline Parkes1, Vasileios Stamou2
1UoN Dementia Research & Innovation Centre, Faculty of Health, Education and Society, University of Northampton, Northampton, UK.
Objective:
To develop guidance for clinicians about essential elements that can support clinical decision-making in the diagnostic workup of young onset dementia.
Methods/Design:
Three iterations of a modified e-Delphi consensus survey comprising 23 international expert clinicians specialising in diagnosis of young onset dementia.
Outcome Measures:
A priori consensus was pre-defined as 80% of experts ranking statements in the upper threshold on a seven-point Likert scale that ranged from "not important at all" to "absolutely essential" to diagnosis.
Results:
80% consensus was reached on 48 statements that were rated as "absolutely essential" or "very important" to a comprehensive assessment of dementia in a younger adult. In order to inform a subsequent audit of clinical records in which compliance with these statements was assessed, the statements were divided into a Minimum Standard, (consisting of the 15 statements voted by all experts as being "absolutely essential" or "very important") and a Gold Standard where 48 statements were voted by 80% of the experts as being "absolutely essential" or "very important". The experts' response rate across the three rounds was 91.3%.
Conclusion:
A Minimum Standard and Gold Standard have been created for the diagnostic workup of young onset dementia. The standards provide a clinically useful tool for decision-making, particularly for generalists and those with less experience in the field. The standards will be used to inform a UK case note audit of recently diagnosed patients with young onset dementia.

