Demencia en enfermos renales crónicos mayores de 55 años en Guatemala: prevalencia y factores asociados
Bibliographic record
Abstract
La demencia es un desorden que se caracteriza por un deterioro progresivo que limita la funcionalidad del individuo. Se han postulado varios factores de riesgo independientes para su desarrollo, entre ellos la enfermedad renal crónica. Se realizó un estudio transversal en 328 participantes mayores de 55 años, para determinar la prevalencia de demencia y los factores asociados en pacientes con enfermedad renal crónica. La función cognitiva de los participantes fue evaluada con la prueba cognitiva Montreal y el cuestionario de actividad funcional de Pfeffer. Se obtuvieron datos acerca de comorbilidades, valores de hemoglobina, creatinina sérica, índice de masa corporal y presión arterial. Se realizó un análisis descriptivo de la muestra, estimación de la de prevalencia de demencia y determinación de la asociación de factores de riesgo con el desarrollo de demencia por medio de regresión logística. El 16.6% de los sujetos fueron clasificados con demencia, IC 95% [12.82, 21.11] y 47.0% con deterioro cognitivo leve, IC 95% [41.54, 52.51]. Se encontró asociación positiva entre demencia y edad (OR 1.10, IC 95% [1.05, 1.15], p < .001), diabetes (OR 3.25, IC 95% [1.62, 6.50], p = .001), y antecedente de trauma craneoencefálico (OR 3.28, IC 95% [1.18, 9.09], p = .022). La asociación fue negativa con hemoglobina (OR 0.71, IC 95% [0.58, 0.88], p = .002) y tabaquismo (OR 0.31, IC 95% [0.13, 0.78], p = .012).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".