Influência da microbiota intestinal no desenvolvimento de doenças neurodegenerativas: uma revisão sistemática
Bibliographic record
Abstract
Objetivo: Analisar a relação entre a microbiota intestinal e o desenvolvimento de doenças neurodegenerativas. Método: Revisão sistemática conduzida seguindo as recomendações PRISMA, com buscas nas bases MEDLINE, PUBMED e LILACS até agosto de 2024. Foram incluídos estudos de caso-controle e coorte, avaliados pela ferramenta Newcastle-Ottawa (NOS). Dezesseis artigos foram selecionados para análise. Resultados: Os estudos indicaram diferenças significativas na microbiota de indivíduos acometidos, incluindo aumento do filo Bacteroidetes e de bactérias pró-inflamatórias, além de redução de precursores de substâncias que mantêm a integridade imunológica e regulam a permeabilidade intestinal. Algumas doenças, como a Doença de Parkinson, apresentam sintomas iniciais no trato gastrointestinal, sugerindo a contribuição da disbiose para essas condições. Conclusão: A disbiose intestinal pode ser um fator de risco para doenças neurodegenerativas, reforçando a necessidade de mais estudos para explorar essa associação.
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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 | 0.015 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.014 | 0.012 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".