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ESTUDO DA EFICÁCIA DE UM NOVO PRODUTO À BASE DE ÁLCOOL GEL UTILIZADO NA ANTI-SEPSIA EM UM SERVIÇO DE NEFROLOGIA

2007· article· pt· W2051257773 on OpenAlexaff
Geni Burg, Odete Teresinha Portela, Gustavo Luiz Paraginski, Viviane Angelina de Souza, Djalma Dias Da Silveira, Rosmari Hörner

Bibliographic record

VenueMedicina (Ribeirão Preto) · 2007
Typearticle
Languagept
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsCytodiagnostics (Canada)
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

A atenção à saúde é permanentemente desafiada pelas infecções relacionadas aos procedimentos assistenciais, que resultam no aumento da morbidade, mortalidade e custos operacionais. O álcool etílico possui propriedades antimicrobianas reconhecidas, capazes de eliminar os microrganismos mais freqüentemente envolvidos nas infecções em serviços de saúde. A maior desvantagem do álcool para a anti-sepsia da pele é seu efeito ressecante. Este estudo foi realizado na Clínica Renal de Santa Maria, RS, com o objetivo de avaliar a eficácia antiséptica de um novo produto à base de álcool gel (Biogel®), na tentativa de eliminar a necessidade da lavagem com água e sabão do braço com a Fístula Artério Venosa (FAV), dos pacientes submetidos à hemodiálise. A metodologia utilizada foi um estudo experimental do tipo “Ensaio Clínico Randomizado” realizado com onze pacientes ambulatoriais submetidos à hemodiálise nos meses de janeiro a fevereiro de 2005. Foi efetuada cultura da pele anterior e posterior ao procedimento da anti-sepsia, utilizando o álcool 70 % e o produto Biogel®, e avaliação da atividade antibacteriana do Biogel®, frente à bactérias gram-positivas e gram-negativas correspondentes à cepas nosocomiais isoladas de pacientes atendidos no Hospital Universitário de Santa Maria (HUSM). Os resultados mostraram igual desempenho dos dois métodos de anti-sepsia, apresentando uma atividade anti-séptica de 72,7%, e conferindo também atividade bactericida ao Biogel®, frente às cepas testadas.

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)0.022
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.211
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0220.006
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0030.001

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 head0.064
GPT teacher head0.404
Teacher spread0.340 · 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 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

Citations2
Published2007
Admission routes1
Has abstractyes

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