Evidence map›Paper›PMID 40484799›Full record

ArticleThe journal of prevention of Alzheimer's disease2025

Bridging the gap: A conversion framework for CDR-SB and MoCA scores in Alzheimer's disease and related dementia.

Babak Haji, Quanwu Zhang, Amir Abbas Tahami Monfared

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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 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Babak HajiEisai Inc., 200 Metro Blvd, Nutley, NJ 07110, USA.
Quanwu ZhangEisai Inc., 200 Metro Blvd, Nutley, NJ 07110, USA.
Amir Abbas Tahami MonfaredEisai Inc., 200 Metro Blvd, Nutley, NJ 07110, USA; McGill University, Department of Epidemiology, Biostatistics, and Occupational Health, 2001 McGill College, Suite 1200, Montreal, QC H3A 1G1, Canada. Electronic address: amir_tahami@eisai.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate assessment of cognitive impairment is essential to effective Alzheimer's disease (AD) management and research. However, the absence of validated methods to translate scores between widely used instruments-such as the Clinical Dementia Rating Scale Sum of Boxes (CDR-SB) in trials and the Montreal Cognitive Assessment (MoCA) in clinical practice-poses a significant barrier. This limits data harmonization, impedes cross-study comparability, and complicates the integration of clinical and research evidence. Bridging this gap is critical for consistent staging, longitudinal monitoring, and data-driven decision-making in AD and related dementias.

objectivesTo develop and validate bidirectional score conversion tables between CDR-SB and MoCA using a large, diverse cohort spanning the full spectrum of cognitive function.

designRetrospective, cross-sectional analysis using equipercentile equating with log-linear smoothing. Optimal smoothing parameters were selected by minimizing mean squared error, Akaike Information Criterion, and Bayesian Information Criterion. Concordance was assessed using Spearman's rank correlation and Bland-Altman plots.

settingNational Alzheimer's Coordinating Center (NACC), aggregating standardized assessments from 35 U.S.-based Alzheimer's Disease Research Centers.

participants23,717 individuals (59,871 visits) with same-day CDR-SB and MoCA assessments from January 2015 to September 2024, spanning normal cognition, mild cognitive impairment (MCI), and dementia.

interventionNone; this was a secondary analysis of existing data. MEASUREMENTS: Primary measures included CDR-SB (0-18; higher = greater impairment) and MoCA (0-30; higher = better cognition). Bidirectional crosswalk tables were derived using equipercentile equating.

resultsCDR-SB and MoCA scores showed strong inverse correlation (Spearman's ρ = -0.68; p < 0.001). Crosswalk tables demonstrated good agreement across the cognitive spectrum and performed consistently in the full cohort and an AD-specific subgroup.

conclusionsThis study provides the first validated, bidirectional CDR-SB-MoCA crosswalk, supporting data harmonization and consistent interpretation of cognitive severity across research and clinical settings.

Indexed as

Alzheimer DiseaseCognitive DysfunctionDementiaMental Status and Dementia TestsAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleRetrospective StudiesAlzheimer’s diseaseCDR-SCCognitive assessmentCrosswalkDementiaEquipercentile equatingMoCANACC database

Identifiers

PMID40484799
PMCPMC12413701

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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.