Composite scores to detect and monitor cognitive dysfunction in preclinical and prodromal Alzheimer's disease: A narrative review

Authors/Creators

• Bhargav Tallapragada
• Shaun J. Markovic, Edith Cowan UniversityFollow
• Kieran J. Marston
• Belinda M. Brown, Edith Cowan UniversityFollow
• Brook Galna
• Rosita Shishegar
• Alden Gross
• Yen Ying Lim
• Jurgen Fripp
• James D. Doecke
• Jason Hassenstab
• Colin L. Masters
• Paul Maruff
• Ralph N. Martins
• Hamid R. Sohrabi

Author Identifier (ORCID)

Shaun J. Markovic: https://orcid.org/0000-0003-3879-5040

Belinda M. Brown: https://orcid.org/0000-0001-7927-2540

Abstract

Cognitive composites combine scores from multiple neuropsychological tests and demonstrate greater sensitivity to Alzheimer's disease (AD) related cognitive changes than individual tests. This review examines the development, composition and validity of cognitive composites to detect AD-related cognitive changes. The included cognitive composites were evaluated using four criteria: cognitive domains assessed; neuropsychological tests used, the inclusion of non-neuropsychological measures (e.g., Mini-Mental State Examination) that produce a global score themselves; and statistical methods used to calculate the composite. Existing composites fall into two categories: domain-specific (e.g., episodic memory, executive function, attention) or general composites combining multiple cognitive domains while incorporating clinical and functional measures. Psychometric properties were not consistently reported across all the studies. Therefore, a standardized validation framework is proposed to address these inconsistencies. Future work should focus on systematically evaluating optimized weighting, including data from clinical and functional measures and consistent psychometric reporting for assessing and monitoring cognitive dysfunction in early AD.

Keywords

Alzheimer's disease, cognitive composites, cognitive outcome measures, mild cognitive impairment, PACC, preclinical AD

Document Type

Journal Article

Date of Publication

5-1-2026

Volume

111

Issue

2

PubMed ID

41870260

Publication Title

Journal of Alzheimer's Disease

Publisher

Sage

School

School of Arts and Humanities / Centre for Precision Health

RAS ID

95222

Comments

Tallapragada, B., Markovic, S. J., Marston, K. J., Brown, B. M., Galna, B., Shishegar, R., Gross, A., Lim, Y. Y., Fripp, J., Doecke, J. D., Hassenstab, J., Masters, C. L., Maruff, P., Martins, R. N., & Sohrabi, H. R. (2026). Composite scores to detect and monitor cognitive dysfunction in preclinical and prodromal Alzheimer’s disease: A narrative review. Journal of Alzheimer’s Disease, 111(2), 489–504. https://doi.org/10.1177/13872877261433044

Copyright

subscription content

First Page

489

Last Page

504