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Record W7135160960

Impacto da fisioterapia dermatofuncional no pós-operatório de mamoplastia de aumento: uma série de casos

2025· dissertation· pt· W7135160960 on OpenAlexaboutno aff
Maria Helena Coutinho Mesquita

Bibliographic record

VenuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2025
Typedissertation
Languagept
FieldMedicine
TopicBody Contouring and Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsQuality of life (healthcare)Context (archaeology)Range of motionRehabilitationForearm
DOInot available

Abstract

fetched live from OpenAlex

A mamoplastia de aumento é uma das cirurgias estéticas mais realizadas mundialmente. A fisioterapia dermatofuncional pode otimizar a recuperação pós-operatória, contudo, há escassez de estudos clínicos que documentem essa intervenção. Documentar a avaliação e intervenção do fisioterapeuta no contexto clínico. Verificar o comportamento das características da cicatriz, sinais e sintomas, funcionalidade do membro superior e qualidade de vida em mulheres submetidas a mamoplastia de aumento, após intervenção em fisioterapia. Estudo de séries de caso com 5 mulheres, entre 15 e 21 dias de pós-operatório, submetidas a 10 sessões de fisioterapia com drenagem linfática manual, mobilização miofascial e de tecidos e promoção de saúde. Foi avaliada a mobilidade e aspeto da cicatriz, edema, força do ombro e qualidade de vida nos momentos inicial e final. Observou-se diminuição do edema na região mamária e dos scores da Patient and Observer Scar Assessment Scale 2.0 e Escala de Cicatrização de Vancouver. Verificou-se a normalização da força muscular e aumento da mobilidade cicatricial e do score e do score da Europe Health Interview Surveys Quality of Life (8 items). A intervenção tem efeitos positivos nas características da cicatriz, diminuição do edema, aumento da funcionalidade do membro superior e qualidade de vida.

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)0.013
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0080.006
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.052
GPT teacher head0.390
Teacher spread0.338 · 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 designBench or experimental
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
Published2025
Admission routes1
Has abstractyes

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Same venuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)Same topicBody Contouring and SurgeryFrench-language works237,207