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Record W4301811580 · doi:10.31157/an.v19i4.58

Disfunción olfatoria y deterioro cognitivo en pacientes con enfermedad de Parkinson

2014· article· es· W4301811580 on OpenAlexaboutno aff
Daniel Martínez-Ramírez, Rodrigo Llorens-Arenas, Mayela Rodríguez‐Violante, Amin Cervantes‐Arriaga, Hugo Morales‐Briceño, Salvador Velázquez-Osuna, Humberto Calderón-Fajardo

Bibliographic record

VenueArchivos de Neurociencias · 2014
Typearticle
Languagees
FieldNeuroscience
TopicOlfactory and Sensory Function Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHumanitiesCognitive impairmentGynecologyPhilosophyCognitionPsychiatry

Abstract

fetched live from OpenAlex

La disfunción olfatoria ha sido descrita en algunas enfermedades neurodegenerativas; así como, en el envejecimiento normal. Existe evidencia patológica y bioquímica que sugiere que la hiposmia pudiera presentarse de forma más severa en sujetos con disfunción cognitiva. Objetivo: analizar asociación entre disfunción olfativa y deterioro cognitivo en pacientes mexicanos con enfermedad de Parkinson. Material y métodos: se llevó a cabo un estudio transversal, analítico consecutivo en pacientes con enfermedad de Parkinson. Las pruebas de “sniffin sticks” (SS- 16) y evaluación cognitiva de Montreal (MoCA) fueron aplicadas a todos los pacientes. Resultados: se incluyeron un total de 104 pacientes (64.4 % hombres). Se encontró disfunción olfatoria en el 82.9% de la muestra. Adicionalmente, el 47.1 % de los pacientes presentó puntuación inferior a los 26 puntos en la evaluación cognitiva de Montreal. No se encontró correlación significativa entre la puntuación de SS-16 y la total del MoCA. Al analizar distintos dominios de forma independiente, se encontró una correlación entre las puntuaciones bajas en ambas pruebas (r=0.24, p = 0.04). Conclusion: no se encontró relación entre la presencia de disfunción olfativa y la función cognitiva global. Se observó relación significativa entre el déficit olfativo y disfunción visuespacial/ejecutiva.

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)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.626
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.054
GPT teacher head0.272
Teacher spread0.217 · 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.

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

Citations1
Published2014
Admission routes1
Has abstractyes

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