Evidence map›Paper›PMID 41792638›Full record

ArticleBMC geriatrics2026

Validation of the Arabic version of the short 10/66 dementia diagnostic schedule for the Lebanese population.

Khalil El Asmar, Alexandra Abi Nassif, Zeina Karam, Aya El Sammak, Maëlenn Guerchet, Monique Chaaya

Abstract readValidation Study
In one paragraph

Article in BMC geriatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Khalil El AsmarDepartment of Epidemiology and Population Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon. ke05@aub.edu.lb.ORCID 0000-0002-6030-8088
Alexandra Abi NassifDepartment of Epidemiology and Population Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.ORCID 0009-0005-1414-6734
Zeina KaramFaculty of Medicine, American University of Beirut Medical Center, Beirut, Lebanon.ORCID 0009-0005-1103-3275
Aya El SammakDepartment of Epidemiology and Population Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.ORCID 0009-0004-6400-7217
Maëlenn GuerchetInserm U1094, IRD UMR270, Univ, Limoges, CHU Limoges, EpiMaCT-Epidemiology of chronic diseases in tropical zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges, France.ORCID 0000-0002-0470-5556
Monique ChaayaDepartment of Epidemiology and Population Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.ORCID 0000-0002-2695-8079

Funding

The French Ministry for Europe and Foreign Affairs, the French Ministry for Higher Education and Research, and the Lebanese Ministry for Education and Higher Education (MEHE) project number: 50509QD
6 · The paper itself

Abstract

backgroundAs dementia becomes a major health concern, developing a quick and accurate diagnostic tool is crucial for early detection and intervention in resource-limited settings. This paper aims to validate the short 10/66 algorithm against the clinical diagnosis of dementia in a sample of older adults in Lebanon.

methodsThis study is a secondary analysis of data from the Lebanese validation of the standard 10/66 dementia assessment, evaluating the diagnostic accuracy of the Arabic short 10/66 algorithm against a clinical reference standard. 231 participants aged 65 + were recruited from institutions and their dwellings, including geriatric clinics and community-based primary care centers. Clinical dementia diagnosis followed DSM-IV criteria. The final sample included 88 cases (diagnosed with mild to moderate dementia) and 143 controls. The short algorithm used is derived from the Community Screening Instrument for Dementia, the CERAD 10-word list recall and the Euro-D. The psychometric parameters of sensitivity, specificity, positive predictive value (PPV), Negative Predictive Value (NPV), false positive rate (FPR), and area under the curve (AUC) were estimated for the short 10/66 algorithm and its subcomponents.

resultsCompared to clinical diagnosis, the short 10/66 showed high specificity (95.1%), good sensitivity (79.5%), excellent PPV (90.9%), high NPV (88.3%), low FPR (4.9%), and substantial agreement between the two (AUC = 0.97, kappa = 0.765).

conclusionThe short 10/66 is accurate and feasible for the diagnosis of dementia in the older Lebanese population, offering a practical tool with a lower time requirement that is adaptable to different literacy levels. Interpretation of predictive values should consider the enriched sampling design, and performance should be further assessed in lower prevalence community settings.

Indexed as

DementiaPopulation SurveillanceAgedAged, 80 and overAlgorithmsFemaleHumansLebanonMalePsychometricsArabiccognitive declinedementiaolder adultsvalidation

Identifiers

PMID41792638
PMCPMC13077946

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