A DOENÇA DE ALZHEIMER E ATUALIZAÇÕES SOBRE O TRATAMENTO NEUROCIRÚRGICO: UMA REVISÃO DE LITERATURA
Bibliographic record
Abstract
A Doença de Alzheimer é uma afecção neurológica debilitante crônica de elevada prevalência, apresenta impacto neurocognitivo de cerca de 60% a 70% dos pacientes idosos, entre os sintomas descritos estão desordens linguísticas, mnêmicas, psicose, desinibição, agitação, acatisia, disfunções olfatórias e motoras extrapiramidais.O artigo demonstra como principal objetivo a realização de revisão de literatura e demonstrar atualizações acerca de tratamento neurocirúrgico destes pacientes.Por conseguinte, os métodos cirúrgicos considerados para esta revisão foram: estimulação cerebral profunda, entrega direcionada de medicamentos de maneira encapsulada, neurocirurgia de derivação de Líquor (LCR) em pacientes com Hidrocefalia de Pressão Normal e Doença de Alzheimer e transplante neuronal e tecidual.Concluiu-se através deste trabalho que a estimulação cerebral profunda foi o método com melhores resultados, e a cirurgia de derivação liquórica apresentou abordagens preventivas para a afecção.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".