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Qualidade de vida de pacientes submetidos à ressecção de tumores musculoesqueléticos.

2013· dissertation· pt· W1511013249 on OpenAlexaboutno aff
Gisele Brides Prieto

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsGynecologyMedicine

Abstract

fetched live from OpenAlex

Este estudo avalia a qualidade de vida de sujeitos acometidos por tumores musculoesquelticos de membros inferiores, submetidos a cirurgias de resseco, com salvamento de membro ou amputao. A casustica foi composta por 56 sujeitos, avaliados no perodo de 14 meses (agosto de 2011 a setembro de 2012), que foram divididos em trs grupos: 1-12 amputados; 2-16 em ps-operatrio de salvamento do membro (colocao de endoprtese ou reconstruo biolgica); 3sujeitos saudveis (sem diagnstico de cncer), selecionados entre a populao em geral, de forma pareada com os outros grupos, segundo sexo, idade, escolaridade e condio socioeconmica. Alm do Critrio de Classificao Econmica Brasil (2010), foram aplicados dois protocolos de avaliao, um de qualidade de vida (Medical Outcomes Study 36 -Item Short-Form Health Survey -SF-36) e o outro de capacidade funcional (Toronto Extremity Salvage Score -TESS), ambos adaptados culturalmente e validados no Brasil. Os dados foram estatisticamente analisados, conforme preconizado por cada protocolo. Os resultados indicaram que ambos os tipos de abordagem cirrgica (amputao ou reconstruo) produziram prejuzos na capacidade funcional e na qualidade de vida dos sujeitos acometidos por tumores musculoesquelticos, quando comparados populao saudvel. Diferentemente do que apontaram outros trabalhos internacionais com casustica semelhante, os sujeitos submetidos a amputaes apresentaram resultados melhores relacionados sua capacidade funcional e qualidade de vida, na maioria dos

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.296
Teacher spread0.282 · 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 teacher head, not a consensus.

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
Published2013
Admission routes1
Has abstractyes

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