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EFETIVIDADE DO CATETER CENTRAL DE INSERÇÃO PERIFÉRICA NA TERAPIA INTRAVENOSA EM PEDIATRIA

2024· article· pt· W4399259000 on OpenAlexaboutno aff
Tatiana Santos de Carvalho, Carlos Roberto Lyra da Silva, Márcia Rodrigues dos Santos, Adriana Carla Bridi, Thiago Quinellato Louro, Márglory Fraga de Carvalho

Bibliographic record

VenueRevista Enfermagem Atual In Derme · 2024
Typearticle
Languagept
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

Objetivo: comparar a efetividade entre o cateter central de inserção periférica (CCIP) e o cateter venoso central de curta permanência (CVC) na população pediátrica em unidades hospitalares. Método: revisão sistemática, com inclusão de artigos originais, disponíveis em completo, em português, inglês e espanhol, publicados entre os anos de 2010 e 2021. Foram utilizadas as bases de dados Pubmed/Medline, Embase, BVS, CINAHL, Web of Science e Clinical Trials, com os seguintes descritores: “pediatrics”; “adolescent”; “central venous catheters”; " catheterization, peripheral". Resultados: dos 412 estudos encontrados, seis foram selecionados. A qualidade dos estudos foi avaliada pelo protocolo Newcastle-Ottawa Scale. Conclusão: o CCIP é efetivo como acesso venoso central na população pediátrica hospitalizada, visto que não houve diferenças significativas nas taxas de infecção de corrente sanguínea associada ao cateter central e tromboembolismo venoso comparado ao cateter venoso central.

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)0.004
metaresearch head score (Gemma)0.015
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.048
GPT teacher head0.367
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
Published2024
Admission routes1
Has abstractyes

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