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Record W2041037815 · doi:10.1111/jgs.12632

Methodological Challenges in Determining Longitudinal Associations Between Anticholinergic Drug Use and Incident Cognitive Decline

2014· article· en· W2041037815 on OpenAlexafffundabout
Mandavi Kashyap, Sylvie Belleville, Benoit H. Mulsant, Sarah N. Hilmer, Le Mai Tu, Cara Tannenbaum

Bibliographic record

VenueJournal of the American Geriatrics Society · 2014
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsHealth and Social Services Centre University Institute of Geriatrics of SherbrookeUniversity of TorontoUniversité de SherbrookeUniversité de MontréalCentre for Addiction and Mental HealthInstitut Universitaire de Gériatrie de Montréal
FundersCanadian Institutes of Health Research
KeywordsAnticholinergicMedicineOdds ratioCognitive declineDementiaConfidence intervalNeurocognitiveCohortLongitudinal studyGeriatric Depression ScaleLogistic regressionCohort studyNeuropsychologyPsychiatryCognitionInternal medicineGerontology

Abstract

fetched live from OpenAlex

OBJECTIVES: To compare the effect of using different anticholinergic drug scales and different models of cognitive decline in longitudinal studies. DESIGN: Longitudinal cohort study. SETTING: Outpatient clinics, Quebec, Canada. PARTICIPANTS: Individuals aged 60 and older without dementia or depression (n = 102). MEASUREMENTS: Using baseline and 1-year follow-up data, four measures of anticholinergic burden (anticholinergic component of the Drug Burden Index (DBI-Ach), Anticholinergic Cognitive Burden (ACB), Anticholinergic Drug Scale (ADS), and Anticholinergic Risk Scale (ARS)) were applied. Three models of cognitive decline (worsening of raw neuropsychological test scores, Reliable Change Index (RCI), and a standardized regression based measure (SRB)) were compared in relation to Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-V) criteria for the onset of a new mild neurocognitive disorder. The consistency of associations was examined using logistic regression. RESULTS: The frequency of identifying individuals with an increase in anticholinergic burden over 1 year varied from 18% with the DBI-Ach to 23% with the ACB. The frequency of identifying cognitive decline ranged from 8% to 86% using different models. The raw change score had the highest sensitivity (0.91), and the RCI the highest specificity (0.93) against DSM-V criteria. Memory decline using the SRB method was associated with an increase in ACB (odds ratio (OR) = 5.3, 95% confidence interval (CI) = 1.1-25.8), ADS (OR = 5.7, 95% CI = 1.1-27.7), and ARS (OR = 6.5, 95% CI = 1.34-32.3). An increase in the DBI-Ach was associated with a decline on memory testing using the raw change score method (OR = 4.2, 95% CI = 1.8-15.4) and on the Trail-Making Test Part B using SRB (OR = 2.9, 95% CI = 1.1-8.0). No associations were observed using the DSM-V criteria or RCI method. CONCLUSION: The choice of different methods for defining drug exposure and cognitive decline will have a significant effect on the results of pharmacoepidemiological studies.

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)0.416
metaresearch head score (Gemma)0.562
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.416
Threshold uncertainty score0.720

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.4160.562
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0050.006
Science and technology studies0.0030.004
Scholarly communication0.0040.002
Open science0.0040.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.185
GPT teacher head0.413
Teacher spread0.227 · 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.

Study designTheoretical or conceptual
Domainnot available
GenreMethods

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

Citations73
Published2014
Admission routes3
Has abstractyes

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Same venueJournal of the American Geriatrics SocietySame topicDementia and Cognitive Impairment ResearchFrench-language works237,207