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Record W2084888278 · doi:10.1016/j.jalz.2012.05.1484

P3‐261: Concurrent validity of the Alzheimer's Questionnaire (AQ)

2012· article· en· W2084888278 on OpenAlexaboutno aff
Michael Malek‐Ahmadi, Kathryn Davis, Christine M. Belden, Marwan Sabbagh

Bibliographic record

VenueAlzheimer s & Dementia · 2012
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsProdromeMontreal Cognitive AssessmentClinical Dementia RatingPsychologyNeuropsychologyCognitive impairmentDementiaClinical psychologyAudiologyCognitionDiseasePsychiatryMedicineInternal medicine

Abstract

fetched live from OpenAlex

The Alzheimer's Questionnaire (AQ) has been established as a valid and accurate informant-based screening questionnaire for both Alzheimer's disease (AD) and its prodrome, amnestic mild cognitive impairment (aMCI). Although the validity and diagnostic accuracy of the AQ have been established, its performance in comparison to other screening instruments has not been investigated. The purpose of this study is to establish concurrent validity of the AQ by comparing it to other commonly used screening instruments and also with standard neuropsychological tests. Data from 146 individuals were used in the study. 39 amnestic mild cognitive impairment (aMCI) cases and 34 Alzheimer's disease (AD) cases were match on age, education, and gender to 73 cognitively normal individuals. The sample had a mean age of 82.54 ± 7.77 and a mean education level of 14.61 ± 2.61 years. 82 females and 64 males made up the sample. The CDR Sum of Boxes, Functional Activities Questionnaire (FAQ), mini-mental state exam (MMSE), Montreal Cognitive Assessment (MoCA), and a battery of neuropsychological tests were compared to the AQ total score. ANOVA, with Bonferroni adjustment, yielded statistically significant group differences for CN vs. aMCI (P <.001), CN vs. AD (p <.001), and aMCI vs. AD (P <.001) for the AQ, FAQ, MMSE, Clock, and MoCA. These group differences yielded to moderate to strong effect sizes. The AQ correlated strongly with the FAQ (r = .78) and with the Clinical Dementia Rating Sum of Boxes (r = .74). Moderate correlations between the AQ and MMSE (r = -.61), AQ and MoCA (r = -.44), AQ and AVLT Delayed Recall (r = -.53) were observed. Concurrent validity was established for the AQ as it correlated strongly with the FAQ and CDR Sum of Boxes. In addition, the AQ correlated moderately with the MoCA, MMSE, and AVLT Delayed Recall. The findings of this study show that AQ is comparable to other measures of function and cognition. These results lend more support to the validity of AQ and its utility as a screening instrument for aMCI and AD. The AQ might also be useful in clinical trials for aMCI.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.062
GPT teacher head0.342
Teacher spread0.280 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2012
Admission routes1
Has abstractyes

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