METHODS: The visuals were analyzed by employing the Visual Discourses of Disability (ViDD) framework that juxtaposes the "perspectivizing-personizing" cline with the "enabling-disabling" continuum. The data studied comprise a total of 432 images sourced from three domains, namely (1) The Star, a Malaysian mainstream English newspaper (2012-2021); (2) Alzheimer's Disease Foundation Malaysia (ADFM) website (2019-2021); and (3) the Ministry of Health Malaysia (2019-2021) website. Findings from the visual analyses were corroborated by four representatives of ADFM in a group interview.

RESULTS: There is a predominance of stigmatized images, constructing dementia as a loss and deficit, thus depicting individuals in distanced suffering. Generic representations of people through stock images, a unique focus on the hands, representations of brain degeneration through abstractions and missing puzzle pieces are also prevalent. Despite these, the interview data confirmed that the perspectivizing aspect may be necessary to educate the public on what dementia entails. While personizing images that depict personhood and actual persons living with dementia are ideal, the use of stock images may be necessary if there is a need to maintain confidentiality and observe sensitivities. Similarly, images with positive emotions are encouraged but disabling ones are equally important to reflect reality and inculcate empathy.

METHODS: Medline, Embase, Google Scholar, and Cochrane Library were searched from their inception until August 2023 to identify studies using VCAT to diagnose MCI/mild dementia. The primary outcome was to assess the diagnostic accuracy of the VCAT for detecting MCI/mild dementia through area under the receiver operating characteristic curve (AU-ROC) analysis. The secondary outcome was to explore the correlation between VCAT scores and MCI/mild dementia presence by comparing scores among patients with and without MCI/mild dementia. Pooled sensitivity, specificity, and area under the curve (AUC) were calculated.