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POTENCIAL TERAPÊUTICO DA VITAMINA D EM PACIENTES COM DOENÇA RENAL CRÔNICA: REVISÃO SISTEMÁTICA

2023· article· pt· W4380991605 on OpenAlexaboutno aff
Marcia Juciele da Rocha, Douglas Mroginski Weber, Amanda Carvalho Nogueira, Anna Felícia de Matos Teixeira, Bárbara Moreira Dias Costa Borges, Fernanda da Silva Bezerra, Flávia da Silva Lima

Bibliographic record

VenueRevista Enfermagem Atual In Derme · 2023
Typearticle
Languagept
FieldSocial Sciences
TopicAcademic Research in Diverse Fields
Canadian institutionsnot available
Fundersnot available
KeywordsJadad scaleVitamin D and neurologyMedicineSciELOHumanitiesMEDLINEInternal medicinePhilosophyChemistryBiochemistryMeta-analysisCochrane Library

Abstract

fetched live from OpenAlex

Objetivo: avaliar o potencial terapêutico da vitamina D e seus análogos em paciente com DRC. Método: Trata-se de uma revisão sistemática, conforme os passos propostos pela metodologia Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Foram usadas as bases de dados SciELO, Medline, PubMed e LILACS para o levantamento dos artigos. A qualidade metodológica das investigações foi realizada por meio do método de Jadad e Newcastle-Ottawa (NOS). Resultados: Foram identificados 132 artigos iniciais, dos quais 5 foram selecionados para revisão atendendo a todos os critérios de elegibilidade. Os resultados indicaram que o uso da vitamina D como terapia medicamentosa em pacientes com DRC contribuiu para melhorar a função endotelial dos vasos através da diminuição da rigidez vascular, apresentou ação protetora contra infecções através de imunomodulação, diminuição do paratormônio (PTH) e estabilização da taxa de filtração glomerular (TFG). Considerações Finais: Nesse sentido, pode-se concluir que a vitamina D torna-se um agente terapêutico para múltiplos tecidos contribuindo na qualidade de vida dos pacientes com DRC.

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)0.006
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.114
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.005
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0030.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.005

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 head0.135
GPT teacher head0.404
Teacher spread0.269 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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