MétaCan
Menu
Back to cohort
Record W3094757246 · doi:10.26843/rpv132020p149-156

A Atuação da Fisioterapia no Tratamento de Sequela de Queimaduras por Meio da Indução Percutânea de Colágeno: Estudo de Caso

2020· article· pt· W3094757246 on OpenAlexaboutno aff
Pamela Barbosa Arantes, Kátia Cristina Ugolini Mugnol, Vilma Da Natividade Da Silva Santos

Bibliographic record

VenueREVISTA PLURI · 2020
Typearticle
Languagept
FieldMedicine
TopicWound Healing and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineNuclear medicine

Abstract

fetched live from OpenAlex

O presente estudo se propôs a aplicar a técnica de Indução Percutânea de Colágeno (IPC) em uma cicatriz causada por queimadura de segundo grau profundo na região anterior do braço esquerdo. Foram realizadas três sessões de IPC, com intervalo de 30 dias entre cada uma das sessões. As sessões foram realizadas em uma Clínica de Fisioterapia localizada no Hospital Santa Cruz, em São Paulo, mesmo local onde foi realizada a anamnese, aplicação da escala de Vancouver, aplicação da Escala Visual Numérica e Registro Fotográfico. Os resultados obtidos pela escala de Vancouver revelam melhora, sendo que o aspecto avaliado que mais apresentou melhora foi a flexibilidade da pele, seguido da vascularização e altura da cicatriz. Não foi possível observar melhora na pigmentação da cicatriz através da escala de Vancouver. O score total passou de 7 para 4 após a última sessão, diminuindo em 3 pontos no total (cerca de 43%). Para avaliação da pigmentação da pele foi aplicado questionário elaborado pela pesquisadora. O questionário foi respondido por oito avaliadores cegos e apresentou melhora geral entre todos os participantes de aproximadamente 36%. A Escala Visual Numérica apresentou aumento na sensibilidade da pele.Palavras-Chave: Cicatriz; Queimadura; Indução Percutânea de Colágeno; Microagulhamento; Tratamento.Abstract:The present study proposed to apply the Percutaneous Colagen Induct (PCI) in a scars caused by second degree burns in left arm. Were performed 3 sessions of PCI, with an interval of 30 days between them. The interventions were performed at Physical Therapy Clinic, located at Santa Cruz Hospital, in São Paulo, the same place where was performed the anamnesis, the application of Vancouver Scale and Visual Numerical Scale and also the photographic recording. The results obtained by using the Vancouver Scale show improvement, and the aspect it was most evident was the flexibility of the skin, followed by the vascularization and the height of the scar. The total score among participants went from 7 to 4 after the last session, decreasing by 3 points in total (about 43%). As it was not possible to observe improvement in scar pigmentation through the Vancouver Scale, a blind assessment was performed by applying a questionnaire prepared by the researcher to 8 evaluators with proven knowledge in the research area. This assessment determined that PCI resulted in improvement of this parameter in treated lesions, with approximately 36% skin whitening. To evaluate skin sensitivity we used the Visual Numerical Scale, which showed promising results also represented by increased local sensitivity. Keywords: Scar; Burn; Percutaneous Collagen Induction; Microneedling; Treatment.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.053
GPT teacher head0.332
Teacher spread0.279 · 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 designCase report
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

Citations1
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueREVISTA PLURISame topicWound Healing and TreatmentsFrench-language works237,207