ArticleThe journal of prevention of Alzheimer's disease2025
Characterizing and validating 12-month reliable cognitive change in Early-Onset Alzheimer's Disease for use in clinical trials.
Article in The journal of prevention of Alzheimer's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- EOAD-Signature Atrophy Predicts Dementia in Early-Onset MCI due to Alzheimer Disease: An MRI-Based Prognostic Biomarker.Neurology · 2026Article
- Improving the clinical trial landscape for patients with atypical variants of Alzheimer's disease: a call to action.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Review
- Metabotropic glutamate receptor 5 is associated with plasma GFAP dependent on age.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Cognitive dispersion profiles and prediction of cognitive change in early-onset dementias: Results from LEADS.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Everyday functioning in young onset dementia: differences between diagnostic groups.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Criterion and convergent validity of plasma biomarkers in early-onset Alzheimer's disease: Initial findings from LEADS.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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39 authors.
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Abstract
backgroundAs literature suggests that Early-Onset Alzheimer's Disease (EOAD) and late-onset AD may differ in important ways, need exists for randomized clinical trials for treatments tailored to EOAD. Accurately measuring reliable cognitive change in individual patients with EOAD will have great value for these trials.
objectivesThe current study sought to characterize and validate 12-month reliable change from the Longitudinal Early-Onset Alzheimer's Disease Study (LEADS) neuropsychological battery.
designStandardized regression-based (SRB) prediction equations were developed from age-matched cognitively intact participants within LEADS, and applied to clinically impaired participants from LEADS.
settingParticipants were recruited from outpatient academic medical centers.
participantsParticipants were enrolled in LEADS and diagnosed with amyloid-positive EOAD (n = 189) and amyloid-negative early-onset cognitive impairment not related to AD (EOnonAD; n = 43). MEASUREMENT: 12-month reliable change (Z-scores) was compared between groups across cognitive domain composites, and distributions of individual participant trajectories were examined. Prediction of Z-scores by common AD biomarkers was also considered.
resultsBoth EOAD and EOnonAD displayed significantly lower 12-month follow-up scores than were predicted based on SRB equations, with declines more pronounced for EOAD across several domains. AD biomarkers of cerebral β-amyloid, tau, and EOAD-specific atrophy were predictive of 12-month change scores.
conclusionsThe current results support including EOAD patients in longitudinal clinical trials, and generate evidence of validation for using 12-month reliable cognitive change as a clinical outcome metric in clinical trials in EOAD cohorts like LEADS. Doing so will enhance the success of EOAD trials and permit a better understanding of individual responses to treatment.
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