MétaCan
Menu
Back to cohort

Measurement of Dimensions of Self-awareness of Memory Function and Their Association With Clinical Progression in Cognitively Normal Older Adults

2023· article· en· W4366983676 on OpenAlexfundno aff
Kayden J. Mimmack, Geoffroy Gagliardi, Gad A. Marshall, Patrizia Vannini, Michael W. Weiner, Arthur W. Toga, Laurel Beckett, Paul Aisen, Ronald C. Petersen, Joseph J. Locascio

Bibliographic record

VenueJAMA Network Open · 2023
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
FundersNational Institute of Biomedical Imaging and BioengineeringCanadian Institutes of Health ResearchNational Institutes of HealthGenentechIXICOH. Lundbeck A/SServierEisaiNorthern California Institute for Research and EducationPfizerBiogenBioClinicaHarvard CatalystHarvard UniversityF. Hoffmann-La RocheUniversity of Southern CaliforniaU.S. Department of DefenseEli Lilly and CompanyBristol-Myers SquibbAlzheimer's Disease Neuroimaging InitiativeNational Center for Advancing Translational SciencesMeso Scale DiagnosticsNational Institute on AgingAlzheimer's AssociationFoundation for the National Institutes of Health
KeywordsClinical Dementia RatingDementiaPsychologyCognitionCohortAssociation (psychology)Longitudinal studyAlzheimer's diseaseClinical psychologyDiseaseGerontologyMedicineCognitive impairmentInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Importance: The ability to separately explore 2 dimensions of self-awareness of memory function-increased and decreased awareness-in cognitively normal older adults provides an important opportunity to understand subtle changes in either direction in relation to risk of Alzheimer disease. Objective: To investigate the association of a novel measure for self-awareness of memory function with future clinical progression in individuals who were cognitively normal at baseline. Design, Setting, and Participants: This cohort study used data from the Alzheimer's Disease Neuroimaging Initiative, a multicenter study. Participants were older adults who were cognitively normal (ie, Clinical Dementia Rating [CDR] global score of 0) at baseline and had at least 2 years of follow-up. Data were collected from June 2010 to December 2021 and pulled from the University of Southern California Laboratory of Neuro Imaging database on January 18, 2022. Clinical progression was defined as the first instance of 2 consecutive follow-up CDR scale global scores of 0.5 or greater. Main Outcomes and Measures: A traditional awareness score was measured by calculating the mean discrepancy between the participant and their study partner's scores on the Everyday Cognition questionnaire. An unawareness or heightened awareness subscore was generated by capping item-level positive or negative differences at zero before averaging. The main outcome-risk of future clinical progression-was analyzed for each baseline awareness measure using Cox regression analysis. Longitudinal trajectories of each measure were additionally compared using linear mixed-effects models. Results: The 436-person sample included 232 (53.2%) female participants, with a mean (SD) age of 74.5 (6.7) years; 25 participants (5.7%) were Black, 14 (3.2%) Hispanic, and 398 (91.3%) White; and 91 participants (20.9%) clinically progressed over their period of observation. Survival analyses showed that a 1-point improvement on the unawareness subscore was associated with an 84% reduction in progression hazard (hazard ratio, 0.16 [95% CI, 0.07-0.35]; P < .001), or equivalently, a 1-point decrease was associated with a 540% increase in progression hazard (95% CI, 183% to 1347%), with no significant results for the heightened awareness or traditional scores. Conclusions and Relevance: In this cohort study of 436 cognitively normal older adults, unawareness, rather than heightened awareness, of memory decline was strongly associated with future clinical progression, providing further support that discordant self- and informant-reported cognitive decline may provide important information to practitioners.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.040
Threshold uncertainty score0.253

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.035
GPT teacher head0.344
Teacher spread0.309 · 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.

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

Citations12
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJAMA Network OpenSame topicDementia and Cognitive Impairment ResearchFrench-language works237,207