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Record W2100108588 · doi:10.1016/j.jalz.2012.05.352

P1‐076: Specific types of memory complaints may provide an early warning sign of cognitive impairment in community‐dwelling older adults

2012· article· en· W2100108588 on OpenAlexaboutno aff
Terry R. Barclay, R. SINGH RAO, Anna C. Forsberg, Jacob M. Cooner, Brian Owens, Robert Kumagai, Aleta L. Svitak, Amanda Cagan, Leah R. Hanson

Bibliographic record

VenueAlzheimer s & Dementia · 2012
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentDementiaCognitionGerontologyPsychologyCognitive testChecklistCognitive declinePopulationNeuropsychological assessmentNeuropsychologyClinical psychologyMedicinePsychiatryCognitive impairmentDisease

Abstract

fetched live from OpenAlex

Early diagnosis is critical to efforts aimed at improving treatment, care, and outcomes for persons with dementia. Routine, population-based dementia screening in primary care has been met with resistance among many in the medical profession. Subjective memory complaints may be the first sign a provider confronts when a patient is experiencing cognitive decline. However, because complaints are so common among older adults, they are frequently attributed to normal aging or disregarded altogether. The Cognitive Change Checklist (3CL) is a brief, 28-item self-report inventory of cognitive change. Several studies support its use in differentiating older adults with true cognitive impairment from healthy individuals with normal, age-related memory complaints. Adults aged >55 years old, living in the community without a memory loss diagnosis were recruited for participation in the Minnesota Memory Project, a longitudinal study investigating cognitive and lifestyle factors associated with advancing age. Baseline assessments included cognitive screening (Montreal Cognitive Assessment; MoCA), brief neuropsychological testing (learning/memory, attention/concentration, cognitive/motor speed, visuospatial, executive functioning), self-report inventories, health history, and lifestyle information. For data analysis, the sample was divided into two groups, normal and impaired, using established cut-points for MCI on the MoCA. Cognitive complaint profiles on the 3CL were analyzed and correlated with objective cognitive performance on neuropsychological testing. Enrolled subjects (n = 204) ranged in age from 55–89 (M = 70) and were generally female (80%), non-Hispanic White (98%), and retired (52%). Forty-Six percent of subjects scored in the impaired range (<25) on MoCA testing. More subjective memory complaints on the 3CL were associated with greater impairment on the MoCA as well as more significant cognitive deficits as measured by various neuropsychological tests sensitive to early dementia. Item-analysis of the 3CL revealed 5 critical items with particular sensitivity in differentiating normal subjects from those with cognitive impairment. These critical items reflected specific complaints regarding select aspects of comprehension, recent, and remote memory. Results of this study provide support for the 3CL as a brief measure to quantify memory complaints and to facilitate earlier identification of individuals with possible MCI and dementia. Specific types of memory/cognitive complaints differentiated the worried well from those with suspected cognitive impairment.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.002

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 head0.037
GPT teacher head0.316
Teacher spread0.279 · 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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