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UTILIZAÇÃO DA TOXINA BOTULÍNICA NO TRATAMENTO DE PACIENTES COM SEQUELAS DO ACIDENTE VASCULAR CEREBRAL – AVC

2023· article· pt· W4388969917 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista Foco · 2023
Typearticle
Languagept
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsImpact
Fundersnot available
KeywordsMedicineSciELOGynecologyMEDLINEBiology

Abstract

fetched live from OpenAlex

Atualmente, o AVC é a principal causa de óbito no Brasil e apresenta um impacto significante na população, devido o seu acometimento e suas inúmeras sequelas. A toxina botulínica é utilizada no tratamento da perda total ou parcial dos movimentos, devido a espasticidade que é uma incapacidade a qual afeta diretamente o sistema nervoso central, podendo causar dor e deformidades. O objetivo do estudo foi identificar as evidências acerca do uso toxina botulínica perante a espasticidade muscular após ao Acidente Vascular Cerebral – AVC. O levantamento das pesquisas foram por meio uma revisão integrativa de literatura e objetivo descritivo. A busca foi realizada virtualmente no meses de setembro e outubro de 2023 nas bases de dados: Scientific Electronic Library Online (Scielo), PUBMED (National Library of Medicine), LiteraturaLatino-Americana e do Caribe em Ciências de Saúde (LILACS) e BDENF Assim como em livros e revistas que abordam sobre a temática. O estudo apresentou resultados com evidências do uso toxina botulínica perante a espasticidade muscular após ao Acidente Vascular Cerebral – AVC. Os quais apresentaram a importância do profissional de biomedicina para esse tipo de patologia e sua contribuição para recuperação desses pacientes.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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 score0.238
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.008

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 head0.036
GPT teacher head0.302
Teacher spread0.266 · 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