Evaluation of cognitive function in elderly patients hospitalized for heart failure with and without diabetes mellitus
Bibliographic record
Abstract
Pacientes idosos com diabetes melitus (DM) hospitalizados por insuficiência cardíaca (IC) apresentam frequentemente sinais de comprometimento cognitivo (CC). Objetivo: Avaliar a função cognitiva de idosos portadores de IC com e sem DM. Métodos: Pacientes hospitalizados (≥ 65 anos) por IC foram avaliados através de testes cognitivos: Montreal Cognitive Assessment (MoCA) e Mini-Cog. Resultados:196 pacientes, com média de idade de 73,04 ± 6,04. Segundo o Mini-cog, 77% tinham CC. O escore médio do MoCA foi de 14,60 ± 5,79. De acordo com presença ou ausência de DM, foi observado associação significativa com o sexo, feminino 54,7% vs masculino 45,3% (p=0,04) e cintura abdominal, aumentada 81,3% vs normal 18,8% (p=0,02). No cenário de cognição normal pelo Mini-cog, pacientes com pré-diabetes tinham maior probabilidade de ter fração de ejeção do ventrículo esquerdo (FEVE) normal (60,75 ± 11,15) em comparação com pacientes com diabetes (47,00 ± 14,42) e pacientes euglicêmicos (44,50 ± 19,92), p = 0,035. Conclusão: Foi encontrado elevada frequência de CC em pacientes idosos hospitalizados por IC. Pacientes com pré-diabetes sem CC tiveram maior probabilidade de apresentar FEVE preservada.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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".