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Record W7025451925

Validation of the instrument “test your brain” for the elderly: iPad version

2019· article· en· W7025451925 on OpenAlexaboutno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2019
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsNeurocognitiveInternal consistencyCutoffNeuropsychologyCognitionReliability (semiconductor)Montreal Cognitive AssessmentCronbach's alphaCognitive impairmentConsistency (knowledge bases)
DOInot available

Abstract

fetched live from OpenAlex

AIMS: Validate the application for iPad (Apple, California, USA) “Teste seu Cérebro” as well as establish cutoff point between normal seniors and Mild Neurocognitive Impairment.METHODS: In a prospective cross-sectional study, elderly subjects who attended the neuropsychology clinic of a tertiary health hospital in the southern region of Brazil and the community in general underwent cognitive assessment using two instruments: the Montreal Cognitive Assessment (Gold Standard Test) and the “Teste seu Cérebro”. These results served as a parameter to validate the said application from a diagnostic test and to establish the cutoff point between normal elderly and mild cognitive impairment; the following statistical measures were determined: sensitivity and specificity, internal consistency and reliability reached by the McDonald’s Omega coefficient and Pearson’s correlation coefficient, respectively. The average “Teste seu Cérebro” cutoff point to detect cases classified as mild neurocognitive impairment by the Montreal Cognitive Assessment was obtained through the ROC curve. Evaluations include functions such as memory, attention / orientation, fluency, language, and visuospatial skills. RESULTS: The sample consisted of 104 participants with mean age of 70.3 (standard deviation = 6.6), with a minimum age of 60 and a maximum of 87 years. An acceptable reliability was achieved for the “Teste seu Cérebro” application by analyzing the internal consistency. In the comparison between the general scores of the two instruments (Teste seu Cérebro and Montreal Cognitive Assessment), where the result showed a statistically significant correlation, positive and classified as moderate. The cutoff point of the “Teste seu Cérebro” scores that best discriminated patients with mild neurocognitive impairment diagnosed by the Montreal Cognitive Assessment was 89.5%, that is, scores below or equal to that percentage reached higher sensitivity and specificity for the instrument. No influence of sociodemographic variables such as sex, age and schooling were identified on the linearity relationship between the “Teste seu Cérebro” and Montreal Cognitive Assessment instruments. CONCLUSIONS: The results suggest that the “Teste seu Cérebro” instrument can be safely used to identify early and accurately the presence of Mild Neurocognitive Impairment in the elderly population. New studies will be directed to the validation of the instrument “Teste seu Cérebro” in the identification of other types of cognitive disorders, in addition to Mild Neurocognitive 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)0.005
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.015
GPT teacher head0.290
Teacher spread0.275 · 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 designBench or experimental
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
Published2019
Admission routes1
Has abstractyes

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