Related Experiment Video
Updated: Jan 7, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Clinical Manifestations
Andrew F Zaman1, Pedro R Mena2, Reginald Obiako3
1University of Miami Miller School of Medicine, Miami, FL, USA.
Background:
Diagnostic classification of neurocognitive disorders (e.g., Alzheimer's disease) relies heavily on norm-based neuropsychological tests. Classification is optimized by the use of population-specific norms to provide appropriate reference groups. For this study, we established key adjustments for commonly used US and African neuropsychological measures in the Recruitment and Retention for Alzheimer's Disease Diversity Genetic Cohorts in the Alzheimer's Disease Sequencing Project (READD-ADSP).
Method:
Our dataset was drawn from older adults residing in three urban sites in Nigeria (Ibadan, Lagos, and Zaria) who were enrolled in the READD-ADSP study. Eligible participants were adjudicated as non-cognitively impaired; had no impairment on the Clinical Dementia Rating (CDR); a score of >=7 on the Intervention for Dementia in Elderly Africans (IDEA) cognitive screen; no functional impairment; no neuropsychiatric concerns; and no major health concerns/diseases. The dataset consisted of 226 individuals (71.3±6.7 years old, 43% Male, 8.9±6.3 years of education, and 73% were literate). Linear regression analyses estimated the effect of age, sex, education, and literacy (yes/no) on select neuropsychological tests including: Montreal Cognitive Assessment (MoCA), CERAD Word List, Category Fluency (Animal Naming), Verbal Fluency, Multilingual Naming Test (MINT), Number Span, Stick Design (SDT), and IDEA Cognitive screen (IDEA).
Result:
R2 values for the 12 regression models ranged between 0.32 (Verbal Fluency) and 0.05 (Stick Design Immediate); nine of the models were significant; three models failed to attain significance (CERAD (Immediate and Delay) and the IDEA. Years of education was the most common significant factor. Individuals with greater education performed better on the MoCA, Animal Naming, Verbal Fluency, MINT, Numbers Forward, and Numbers Backward. Literacy was significant for three tests (Vegetable Naming, Numbers Forward, and SDT-Delay. Age was significant for Animal Naming, MINT, SDT (Immediate and Delay). Finally, sex was significant for CERAD (Immediate, Vegetable Naming, and Numbers Backwards.
Conclusion:
This study is a first step in addressing the need to develop test norms in the Nigeria population. Not surprisingly, years of education was often the most robust factor that needed to be adjusted for in these countries. We can use the regressions/normative values to provide age, sex, education, and literacy adjusted Z-scores to clinical adjudicators.
Related Concept Videos
Chronic Kidney Disease II: Clinical Manifestations
Coronary Artery Disease III: Clinical Manifestations
Endocarditis II: Clinical Features of Infective Endocarditis
Heart Failure III: Clinical Manifestations
Gastroesophageal Reflux Disease II: Clinical Features and Management
Clinical Manifestations
GERD presents itself in a multitude of ways, with symptoms varying from person to person. The hallmark symptoms are...
Hypertension III: Clinical Manifestations and Diagnostic Studies

