Repercussão do uso de Eculizumabe no tratamento da hemoglobinúria paroxística noturna
Bibliographic record
Abstract
A Hemoglobinúria Paroxística Noturna (HPN) causa hemólise intravascular e aumento do risco de trombose devido a alterações na superfície dos glóbulos vermelhos que causa ativação desregulada do complemento e consequentemente hemólise. O Eculizumabe é um anticorpo monoclonal humanizado contra a proteína C5 que impede a geração do complexo de ataque do complemento terminal. O objetivo desta revisão é buscar saber se o Eculizumabe é um tratamento efetivo para os doentes portadores de HPN. A metodologia utilizada foi uma varredura na base de dados PubMed utilizando as palavras-chave “Eculizumabe”, “Eculizumab”, “hemoglobinúria paroxística noturna”, “paroxysmal nocturnal hemoglobinuria”, “HPN” e “PNH” e após seleção de acordo com os critérios de exclusão foram escolhidos 10 artigos para a criação deste trabalho. Observando os valores coletados da desidrogenase láctica constatamos que o Eculizumabe é um tratamento efetivo para HPN e os doentes submetidos a tal tratamento são mais suscetíveis a apresentar infecções meningocócicas. Por fim concluímos que o Eculizumabe é um tratamento efetivo para Hemoglobinúria Paroxistica Noturna.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".