Relação entre dor crônica e estado cognitivo de pacientes com doenças crônicas não transmissíveis
Bibliographic record
Abstract
Objetivo: relacionar a dor crônica e a alteração cognitiva de pacientes atendidos na atenção primária. Método: estudo de transversal, quantitativo, amostra n=351 pacientes com doenças crônicas não transmissível. Variáveis: perfil demográfico, socioeconômico, hábitos de vida e variáveis clínicas, parâmetros bioquímicos sanguíneos; cognição avaliada pelo instrumento Mine Exame do Estado Mental; a dor crônica foi avaliada pela Escala Numérica e questionário de McGILL. Resultados: prevaleceu a maioria de mulheres, idosas, que tinham Diabetes Mellitus (DM) e hipertensão arterial. A alteração do estado cognitivo afetou 57,5% dos idosos e 53,5% tinham dor intensa. Os descritores de dor de McGILL foram latejante, fina, calor/queimação, doída, cansativa e castigante. Análise de regressão logística foram associadas à dor intensa, ter dor crônica (OR=19,50),) presença de DM (OR=2,40) e sexo feminino (OR=2,12). Conclusão: o estado cognitivo alterado afetou mais da metade dos idosos e não teve associação com dor crônica.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".