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Record W7117315952 · doi:10.1002/alz70857_105072

The measurement of agitation in neurocognitive disorders: A systematic review

2025· article· en· W7117315952 on OpenAlexaff
Dylan X. Guan, Byron Creese, Cassandra Germain, Corinne E. Fischer, Dorota Kossowska‐Kuhn, Fabricio Ferreira de Oliveira, Hui Jue Wang, Keerthana Umapathy, Krista L. Lanctôt, Lindsey I. Sinclair, Luis Agüera‐Ortiz, Mariana Pinheiro Nepomuceno, Marie‐Andrée Bruneau, Moyra E. Mortby, Ram J Bishnoi, Raphael Machado Castilhos, Reeteka Sud, Samantha M. Loi, Soliu Abiola Atunwa, Tiffany J. Pan, Toni Saari, Uzochukwu Imo, Valentine Ucheagwu, Zahinoor Ismail

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsUniversité de MontréalInstitut Universitaire de Gériatrie de MontréalHotchkiss Brain InstituteSunnybrook HospitalUniversity of TorontoSt. Michael's HospitalUniversity of Calgary
Fundersnot available
KeywordsNeurocognitivePersistence (discontinuity)ElectroencephalographyCognitionMEDLINE

Abstract

fetched live from OpenAlex

BACKGROUND: Agitation is a common and distressing behavior in persons with neurocognitive disorders. However, efforts to understand and develop interventions for agitation, historically considered only as a symptom, have been complicated by heterogeneity in the definition, identification, and measurement of agitation. The International Psychogeriatric Association (IPA) developed and then validated a consensus clinical and research syndromic definition of agitation in cognitive disorders. The Neuropsychiatric Syndromes Professional Interest Area Agitation Work Group conducted a systematic review to identify validated measures of agitation used in older persons with neurocognitive disorders and to evaluate their alignment with IPA criteria. METHOD: This review was pre-registered on PROSPERO (CRD42023429494). We searched MEDLINE, EMBASE, and PsycINFO from inception to June 30, 2023, using a search strategy that included term clusters for 1) neurocognitive disorders; 2) agitation; and 3) psychometric outcomes. Title/abstract screening was performed to include validation studies of original agitation scales in populations with neurocognitive disorders (e.g., mild cognitive impairment, dementia). The full texts of these studies were then reviewed to extract agitation scales. Scale instructions, items, and response fields for each scale were evaluated for alignment with IPA agitation criteria by at least three independent reviewers. RESULT: A total of 2103 unique search records were retrieved, of which 1877 were excluded at title/abstract screening. From the 226 full-text articles, 39 unique agitation scales were identified. The three scales containing agitation items that showed the greatest alignment with IPA criteria were the Staff Observation Aggression Scale, Neuropsychiatric Inventory Nursing Home, and Modified Overt Aggression Scale. Although all 39 scales included at least one item measuring verbal aggression, eight scales did not address excessive motor activity, and five scales did not include items for physical aggression. CONCLUSION: Numerous agitation scales have been validated in older populations with neurocognitive disorders. Yet, few fully align with the recently published IPA agitation criteria. Most commonly, scales did not adequately capture symptom persistence of at least two weeks or evidence of emotional distress. Additionally, scales varied widely in capturing individual IPA agitation domains of verbal aggression, excessive motor activity, and physical aggression.

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)0.010
metaresearch head score (Gemma)0.045
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.990
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.045
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0080.007
Bibliometrics0.0130.015
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.048
GPT teacher head0.373
Teacher spread0.324 · 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 designSystematic review
DomainMethods
GenreReview

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
Published2025
Admission routes1
Has abstractyes

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