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Record W2102170637

Da Classificação de Viena para a Nova Classificação de Montreal: Caracterização Fenotípica e Evolução Clínica da Doença de Crohn

2011· article· pt· W2102170637 on OpenAlexaboutno aff
Ana Rebelo, Bruno Rosa, Maria João Moreira, José Cotter

Bibliographic record

VenuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2011
Typearticle
Languagept
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHumanitiesMathematicsArt
DOInot available

Abstract

fetched live from OpenAlex

A Classificação de Montreal (CM) sucedeu à de Viena (CV) na caracterização dos doentes com Doença de Crohn (DC). Com o objectivo de avaliar as diferenças e potenciais vantagens da primeira em relação à última e validar a CM através da análise longitudinal da variação fenotípica desta população, analisaram-se retrospectivamente 122 doentes com DC classificados segundo as CV e CM. Avaliou-se a evolução dos subgrupos e a necessidade de cirurgia. Nos resultados verificou-se que a CM reclassificou 6 doentes no critério idade de diagnóstico (A), 4 no critério localização (L) e 18 no critério comportamento (B). A localização (L) da doença permaneceu estável. O comportamento (B) pela CV modificou-se aos 3 e 5 anos. Foram submetidos a cirurgia major 41,8% dos doentes. Identificou-se uma maior associação entre a necessidade de cirurgia e o grupo B3 da CM. Não se verificaram diferenças estatisticamente significativas entre as curvas de sobrevivência e as variáveis sexo, tabaco e idade de diagnóstico. CONCLUSÃO: A CM é mais sensível na avaliação fenotípica do comportamento da doença, principalmente após a exclusão da doença perianal da categoria doença penetrante. A classificação da DC por padrão fenotípico poderá eventualmente, no futuro, ser aplicada para predizer a sua história natural.

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)0.009
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.664
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0020.005
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.001
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 head0.103
GPT teacher head0.374
Teacher spread0.271 · 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

Citations5
Published2011
Admission routes1
Has abstractyes

Explore more

Same venuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)Same topicInflammatory Bowel DiseaseFrench-language works237,207