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Record W2123995643 · doi:10.1177/0891988714522694

The Lawton Instrumental Activities Daily Living/Activities Daily Living Scales

2014· article· en· W2123995643 on OpenAlexaboutno aff
Pierre Koskas, M.C. Henry-Feugeas, Jean Paul Feugeas, Aurore Poissonnet, Cécile Pons‐Peyneau, Yves Wolmark, O. Drunat

Bibliographic record

VenueJournal of Geriatric Psychiatry and Neurology · 2014
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsActivities of daily livingGerontologyPsychologyIndependent livingMedicinePsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine the diagnostic ability of the Lawton Instrumental Activities Daily Living (IADLs) scale and the Activities Daily Living (ADLs) scale as a sensitive tool to Alzheimer's disease (AD) in community-dwelling elderly people. DESIGN: In an old age memory outpatient center, among patients with a clinical diagnosis of AD dementia or no dementia supported by at least 6 months of follow-up, we looked back at the baseline Lawton IADL scale (short version IADL-4 item), ADL scale, Mini-Mental State Examination (MMSE), and Montreal Cognitive Assessment (MOCA) values. RESULTS: There were 109 patients with AD and 53 nondemented individuals (81.4 ± 4.6 years). The sensitivity of ADL scale or IADL-4 item or the MMSE was low (52%-57%). The most efficient AD classification used both the IADLs-4 item and the MOCA with a threshold score of 20. Besides age and memory scores, the main correlates of IADLs scale or ADLs scale were executive, neuropsychiatric, vascular, and extrapyramidal scores. CONCLUSION: Our results suggest that the Lawton IADLs-4 item scale and ADLs scale lack sensitivity to AD dementia in elderly people and support a better sensitivity of MOCA rather than MMSE and IADLs-4 item/ADLs at the expense of specificity.

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)0.000
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 score0.032
Threshold uncertainty score0.547

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.007
GPT teacher head0.257
Teacher spread0.251 · 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

Citations27
Published2014
Admission routes1
Has abstractyes

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