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Record W3139829202 · doi:10.1055/s-0040-1721838

Preservar ou substituir a patela durante a artroplastia total de joelho: Estudo comparativo

2021· article· pt· W3139829202 on OpenAlexaboutno aff
Larry Rodrigues De Campos Júnior, Guilherme Norberto Sbalqueiro, Ruben Amancio Rojas Ayala, Osmar Valadão Lopes, Paulo Renato Fernandes Saggin, André Kühn

Bibliographic record

VenueRevista Brasileira de Ortopedia · 2021
Typearticle
Languagept
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsWOMACMedicinePatellaTotal knee arthroplastyArthroplastySignificant differenceTotal knee replacementPhysical therapyOsteoarthritisSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Resumo Objetivo Avaliar e comparar clínica e funcionalmente pacientes submetidos a artroplastia total primária do joelho (ATJ) com preservação ou substituição da patela. Métodos Em um estudo transversal, foram avaliados e comparados os resultados funcionais, usando escores de Western Ontario and McMaster Universities (WOMAC, na sigla em inglês) e Lequesne, de 158 pacientes submetidos a artroplastia total primária o joelho (162 joelhos), sendo que em 81 joelhos a patela foi submetida a artroplastia e em 81 a superfície articular da patela foi preservada. Resultados Não foram identificadas diferenças significativas quanto ao escore de Lequesne (p = 0,585), escore global de WOMAC (p = 0,169), nem quanto às subdivisões deste quanto a rigidez (p = 0,796) e a capacidade funcional ( p= 0,190). Evidenciou-se diferença significativa apenas quanto à subdivisão que avalia a dor no escore de WOMAC, sendo menor no grupo submetido a artroplastia patelar (p = 0,036). Conclusão No presente estudo, não houve diferença na avaliação funcional em pacientes submetidos a substituição ou não da patela durante a cirurgia de artroplastia primária do joelho. Entretanto, os indivíduos nos quais a patela foi preservada relataram mais dor.

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)0.001
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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.004

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 head0.028
GPT teacher head0.293
Teacher spread0.264 · 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 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

Citations5
Published2021
Admission routes1
Has abstractyes

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