Papel da adiposidade sobre a concentração de biomarcadores de oxidação e adipocitocinas na neoplasia maligna da mama
Bibliographic record
Abstract
Introdução: A neoplasia maligna da mama é a mais frequentes entre as mulheres, respondendo, no Brasil, por 26,3% de todos os cânceres no sexo feminino e por 14% dos óbitos.Sabe-se que a obesidade é também uma doença crônica, que apresenta um panorama epidemiológico crescente, capaz de modificar as concentrações de hormônios esteroides, hormônios do crescimento, que envolve processos inflamatórios crônicos e de baixa intensidade os quais favorecem a proliferação celular e redução da apoptose.Portanto, é plausível que mulheres com câncer de mama que tenham excesso de peso e adiposidade apresentem maior risco para um prognóstico clínico menos favorável.Objetivo: Avaliar o papel da adiposidade sobre a oxidação e as adipocitocinas na neoplasia mamária.Material e Métodos: Estudo observacional do tipo caso-controle, com 101 mulheres com tumor de mama (Caso) e 100 mulheres sem câncer (Controle), selecionadas no Hospital Geral de Fortaleza (Fortaleza-CE), nos anos de 2011 e 2012
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".