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Record W3126630227

Vitamina D (25-OH-D) e memória de curto prazo em participantes de um ambulatório da memória

2017· article· pt· W3126630227 on OpenAlexaboutno aff
Rafael Trevisol

Bibliographic record

Venuenot available
Typearticle
Languagept
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPoisson regressionDementiaMedicineVitamin D and neurologyCognitive declineCognitionMemory clinicGerontologyMultivariate statisticsDemographyInternal medicinePopulationPsychiatryEnvironmental healthDiseaseStatistics
DOInot available

Abstract

fetched live from OpenAlex

Dementias are a public health problem in developing countries, evidence shows that dementias are preventable provide timely interventions in modifiable risk factors are done. Vitamin D is associated to many cognitive skills and is considered as a protective factor or even treatment of cognitive decline. Objective: To evaluate the association between blood levels of vitamin D (25-OH) and short-term memory represented by the memory section of the Montreal Cognitive Assessment test (Brazilian version) controlled by sociodemographic and health variables. Methods: Cross sectional study based on patients files with 50 years old or more, analysed trough. Poisson regression in a memory clinic from February 2015 to May 2017. Results: We studied 210 individuals with a mean age of 70.8±8.6 years old, mean vitamin D blood levels of 26.5± 9.5 ng/dL. The mean score in the MoCA test was 17.0±7.5 points and the mean memory score (0-5 points) was 1.3±1.0. In the final multivariate model, there was a positive independent association between short-term memory and vitamin D blood levels, schooling, age, female gender and hypertension. Conclusion: These findings indicate that 25-OH vitamin D blood levels are associate to short term memory and may be a prognostic or screening tool for cognitive decline and dementia.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.076
GPT teacher head0.395
Teacher spread0.319 · 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 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

Citations0
Published2017
Admission routes1
Has abstractyes

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