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Record W2002965034 · doi:10.1159/000289815

French-English Cross-Linguistic Comparison and Diagnostic Impact of the AD-8 Dementia Screening Questionnaire in a Geriatric Assessment Clinic

2010· article· en· W2002965034 on OpenAlexafffund
Lisa Koski, Haiqun Xie, Susanna Konsztowicz, Roslyn Tetteh

Bibliographic record

VenueDementia and Geriatric Cognitive Disorders · 2010
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsMcGill University Health Centre
FundersMcGill University Health CentreMcGill University
KeywordsDementiaRespondentMedical diagnosisCognitionConcurrent validityPsychologyPsychometricsCognitive testTest (biology)Clinical psychologyPsychiatryMedicineDiseaseInternal consistency

Abstract

fetched live from OpenAlex

The AD-8 dementia screening questionnaire is a novel tool that allows clinicians to assess changes in cognitive function. This study examined psychometric properties of the test in French-speaking and English-speaking patients, and its impact on diagnostic practice in the geriatric assessment clinics of a university health centre. Data were extracted from the clinical database for all new patients screened for cognitive impairment 15 months before (historic control group) and 15 months after the introduction of the test (AD-8 group and concurrent control group). Analysis of differential item functioning revealed formal equivalence of the French- and English-language items, supporting the validity of the French version. Respondent type significantly influenced the total score on the AD-8. Concurrent validity with other cognitive screening tests was moderately high. Finally, among patients who did not present with pre-existing dementia, a higher proportion of dementia diagnoses was made in those administered the AD-8 relative to the concurrent control group. Implications for clinical use of the AD-8 are discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.354
Teacher spread0.345 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations19
Published2010
Admission routes2
Has abstractyes

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