MétaCan
Menu
Back to cohort
Record W4281750168 · doi:10.1016/j.nrleng.2020.08.021

Standardised results of the Montreal Cognitive Assessment (MoCA) for neurocognitive screening in a Chilean population

2022· article· en· W4281750168 on OpenAlexaboutno aff
Marcelo Gaete, S. Jorquera, Sebastián Bello-Lepe, Y.M. Mendoza, Marcela Veliz, María Francisca Alonso-Sánchez, J. Lira

Bibliographic record

VenueNeurología (English Edition) · 2022
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
FundersMinistry of Education
KeywordsMontreal Cognitive AssessmentNeurocognitivePopulationCognitionGerontologyCognitive testNormativePsychologyDemographyMedicineCognitive impairmentPsychiatryEnvironmental health

Abstract

fetched live from OpenAlex

Population ageing poses a challenge for countries in preventing and detecting neurodegenerative disorders. The Montreal Cognitive Assessment (MoCA), a short, simple, valid, and reliable screening test, assesses general cognitive status, and is useful in public health contexts. This study aims to normalise and standardise the MoCA test for the Chilean population. We performed a descriptive, correlational validation study of the MoCA test, using a sample including 526 healthy individuals of both sexes, aged between 18 and 90 years, from the north, centre, and south of Chile. We analysed the effects of age, education level, and sex on MoCA performance. Age and education level had a significant impact on general cognitive performance, as determined by MoCA score. Age, education, and sex account for 1%-7% of variance. The mean (standard deviation) score for the total sample was 24.04 (3.22), whereas the normal range originally defined for the instrument is 26-30 points. Older adults with less formal education presented poorer results and lower cognitive performance. We propose a protocol for evaluating results by percentiles and scores for different age ranges, and an individual normalised scalar score. We present normative data for the MoCA test in the Chilean population, and propose cut-off points for different age ranges to discriminate normal cognitive performance from neurocognitive disorders; results are adjusted for education level. This proposal would assist in the use of the test and reduce the rate of false positives. El envejecimiento poblacional implica un desafío para los países respecto a prevenir y detectar trastornos neurodegenerativos. El Montreal Cognitive Assessment (MoCA), test de cribado breve, de simple aplicación, válido y confiable, evalúa el estado cognitivo general, siendo útil en contextos de salud pública. El estudio busca normalizar y estandarizar el test MoCA para población chilena. Se presenta estudio de validación para prueba diagnóstica de tipo descriptivo y correlacional, se evaluó a 526 sujetos, hombres y mujeres, de entre 18 y 90 años, sanos, del norte, centro y sur de Chile, analizando: el efecto de la edad, nivel educativo y sexo, para rendimiento de MoCA. Se demuestra un efecto significativo de la edad y el nivel educativo sobre el rendimiento cognitivo general según MoCA. La edad, educación y sexo explican 1-7% de la varianza. El rendimiento cognitivo medio del total de la muestra fue de 24,04 ± 3,22, para un rango definido originalmente por el instrumento de 26 puntos sobre 30. Los adultos mayores con menor educación formal presentaron bajos resultados y menor rendimiento cognitivo. Se propone protocolo de evaluación de resultados en percentiles y puntuaciones por rango de edad y puntuación escalar normalizada individual. Se presentan datos normativos de MoCA según las características sociodemográficas chilenas y puntos de corte propuestos para discriminar el rendimiento cognitivo normal de trastornos neurocognitivos según rangos de edad, ajustando los resultados al nivel educacional, la propuesta permitiría facilitar el uso del instrumento y disminuir la aparición de falsos positivos.

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)0.002
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 score0.072
Threshold uncertainty score0.598

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 integrity0.0000.001
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 head0.015
GPT teacher head0.302
Teacher spread0.287 · 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

Citations13
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueNeurología (English Edition)Same topicDementia and Cognitive Impairment ResearchFrench-language works237,207