Registros de memória: um estudo acerca de aspectos cognitivos pós-internação em UTI
Bibliographic record
Abstract
Existem evidencias sobre as consequencias de curto e longo prazo, de doencas criticas, a partir da internacao do paciente em unidade de terapia intensiva (UTI). Mesmo apos a alta, o individuo pode manifestar sequelas significativas que prejudicam a manutencao de sua qualidade de vida, no que diz respeito as capacidades fisicas, cognitivas e psicologicas, fenomeno atualmente conhecido como Sindrome Pos-Cuidados Intensivos (Post-Intensive Care Syndrome - PICS). O estudo buscou avaliar a prevalencia de comprometimento cognitivo relacionado a outros fatores inerentes a internacao em pacientes sobreviventes da UTI. Trata-se de uma pesquisa de coorte, de carater retrospectivo e abordagem quanti-qualitativa. Foram analisados dados de pacientes internados em UTI, que passaram por avaliacao especializada e realizaram os testes de rastreio Montreal Cognitive Assessment e Escala Hospitalar de Ansiedade e Depressao. A maior parte dos individuos apresentou comprometimento cognitivo apos internacao e se evidenciou que a memoria tem principal impacto dentre os aspectos cognitivos mais afetados. O presente estudo tem potencial de contribuir para o conhecimento a respeito de fatores cognitivos relacionados a PICS e suas repercussoes. Ademais, a psicologia da saude e hospitalar tem papel importante como meio de prevenir e/ou minimizar os efeitos da sindrome.
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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 | 0.007 | 0.068 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".