ArticleFrontiers in digital health2021
Optimizing Cognitive Assessment Outcome Measures for Alzheimer's Disease by Matching Wordlist Memory Test Features to Scoring Methodology.
Article in Frontiers in digital health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- Association of Plasma Phosphorylated Tau With the Response to Neflamapimod Treatment in Patients With Dementia With Lewy Bodies.Neurology · 2023Trial
- Multidomain therapy for Alzheimer's disease: a scoping review of cognitive decline trials.Molecular neurodegeneration · 2025Article
- Artificial Intelligence-Powered Quantification of Flortaucipir PET for Detecting Tau Pathology.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025Article
- Predicting CDR status over 36 months with a recall-based digital cognitive biomarker.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Process approach as a cognitive biomarker related to gray matter volume in mild cognitive impairment and Alzheimer's disease.BMC neurology · 2024Article
- A comparison of story-recall metrics to predict hippocampal volume in older adults with and without cognitive impairment.The Clinical neuropsychologist · 2024Article
- Cross-sectional associations of CSF tau levels with Rey's AVLT: A recency ratio study.Neuropsychology · 2023Article
- The recency ratio assessed by story recall is associated with cerebrospinal fluid levels of neurodegeneration biomarkers.Cortex; a journal devoted to the study of the nervous system and behavior · 2023Article
- Delayed primacy recall performance predictsAlzheimer's & dementia (Amsterdam, Netherlands)Article
- Predicting brain health in community-dwelling elderly populations by integrating Gaussian mixture model and plasma biomarkers.Journal of Alzheimer's disease reportsArticle
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Cognitive assessment with wordlist memory tests is a cost-effective and non-invasive method of identifying cognitive changes due to Alzheimer's disease and measuring clinical outcomes. However, with a rising need for more precise and granular measures of cognitive changes, especially in earlier or preclinical stages of Alzheimer's disease, traditional scoring methods have failed to provide adequate accuracy and information. Well-validated and widely adopted wordlist memory tests vary in many ways, including list length, number of learning trials, order of word presentation across trials, and inclusion of semantic categories, and these differences meaningfully impact cognition. While many simple scoring methods fail to account for the information that these features provide, extensive effort has been made to develop scoring methodologies, including the use of latent models that enable capture of this information for preclinical differentiation and prediction of cognitive changes. In this perspective article, we discuss prominent wordlist memory tests in use, their features, how different scoring methods fail or successfully capture the information these features provide, and recommendations for emerging cognitive models that optimally account for wordlist memory test features. Matching the use of such scoring methods to wordlist memory tests with appropriate features is key to obtaining precise measurement of subtle cognitive changes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.