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Record W3019429833 · doi:10.1055/s-0040-1702957

Aplicação do protocolo Ottawa por estudantes de medicina e residentes de ortopedia em entorses de tornozelo em um hospital de trauma

2020· article· pt· W3019429833 on OpenAlexaboutno aff
José Marcos Lavrador Filho, Paulo Henrique Vogt, Alexandre Roberto Roman Coelho, Daniel Kyubin Cho, João Luiz Vieira da Silva, Patrick Willian Padoani

Bibliographic record

VenueRevista Brasileira de Ortopedia · 2020
Typearticle
Languagept
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHumanitiesArt

Abstract

fetched live from OpenAlex

Resumo Objetivo Verificar a aplicabilidade e a concordância das regras do tornozelo de Ottawa aplicadas por estudantes de medicina e residentes de ortopedia em um serviço de trauma terciário, validando assim as regras de Ottawa para utilização em solo brasileiro. Método Estudo prospectivo, realizado em um hospital terciário, incluindo todos os pacientes com trauma torcional agudo da articulação tibiotársica. Os pacientes realizaram radiografias de tornozelo e/ou pé, tendo sido aplicado o questionário com as regras do tornozelo de Ottawa por acadêmicos e, na sequência, por residentes. As radiografias foram avaliadas por ortopedistas plantonistas e especialista em pé e tornozelo, sendo a opinião do especialista considerada padrão-ouro da análise. Resultados Foram avaliados 263 pacientes e, após aplicados os critérios de inclusão estabelecidos, restaram para a avaliação 226 casos. A sensibilidade para detectar lesões e o valor preditivo negativo (VPN) foi de 100%. O teste mais sensível e com maior VPN para ambos, acadêmicos e residentes, foi a palpação do maléolo lateral. O estudo apresentou potencial de redução de 30% no total de exames solicitados. Conclusão Os dados demostraram aplicabilidade e concordância entre acadêmicos e residentes, o que permite a validação do protocolo de Ottawa nos atendimentos de urgência e emergência no Brasil.

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)0.003
metaresearch head score (Gemma)0.005
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
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 science0.0010.000
Research integrity0.0010.002
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 head0.018
GPT teacher head0.300
Teacher spread0.281 · 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 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

Citations8
Published2020
Admission routes1
Has abstractyes

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