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Record W3010112814 · doi:10.19083/tesis/648766

Concordancia entre las pruebas Mini Mental State Examination, Short Portable Mental Status Questionnarie y Montreal Cognitive Assesment para el tamizaje del deterioro cognitivo en adultos mayores

2019· dissertation· es· W3010112814 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUniversidad Peruana de Ciencias Aplicadas (UPC) · 2019
Typedissertation
Languagees
FieldMedicine
TopicAging, Health, and Disability
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCognitive impairmentHumanitiesGerontologyCognitionArtPsychiatry

Abstract

fetched live from OpenAlex

Objetivo: Determinar el nivel concordancia entre las pruebas Mini Mental State Examination (MMSE), Short Portable Mental Status Questionnarie (SPMSQ) y Montreal Cognitive Assesment (MoCA) para el tamizaje de deterioro cognitivo en adultos mayores a través del índice Kappa entre las tres pruebas. Material y métodos: Estudio de cohorte retrospectiva en personas atendidas en el servicio de Geriatría del Centro Médico Naval “Cirujano Mayor Santiago Távara”, seleccionados por conveniencia. Se incluyó un total de 1683 pacientes, tomándose como puntos de corte para determinar deterioro cognitivo un puntaje mayor a 4 en el SPMSQ; un puntaje menor a 26 en MoCA; y un puntaje menor a 25 en MMSE. Se utilizó el Índice Kappa de Cohen, utilizando un valor de 0,8 como indicador de una buena concordancia. Resultados: El MMSE fue la prueba con la que se encontró la mayor cantidad de pacientes con deterioro cognitivo dando un 43,32% del total. Se pudo observar un buen nivel de concordancia entre las pruebas MMSE y MoCA (índice Kappa: 0.99 IC95% 0,99 a 1,00 p<0,01), y un resultado discordante entre las pruebas MoCA y SPMSQ (índice Kappa: 0.42 IC95% 0,38 a 0,46 p<0,01); y las pruebas MMSE y SPMSQ (índice Kappa: 0.42 IC95% 0,38 a 0,46 p<0,01). Conclusión: Las pruebas MoCA y MMSE presentaron una excelente concordancia entre sí. La prueba SPMSQ mostró una pobre concordancia con respecto a las pruebas MMSE y MoCA.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.294
Teacher spread0.283 · 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