Fatores associados à fragilidade de idosos com doença renal crônica em hemodiálise
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The scope of this article is to identify sociodemographic and clinical factors associated with the frailty of elderly people with chronic kidney disease on hemodialysis. This involved a correlational, cross-sectional study conducted in a dialysis center in the state of São Paulo. The sample consisted of 60 participants. The Participant Characterization Instrument was used for extracting sociodemographic and clinical data and the Edmonton Frail Scale was used to evaluate the level of frailty. Multivariate logistic regression was used to identify the factors associated with frailty. The mean age of the 60 patients included was 71.1 (± 6.9) years, predominantly male (70%), of which 36.7% were classified as frail. With respect to the factors associated with frailty among the variables of gender, age, self-reported skin color, schooling, monthly per capita income, hemodialysis time, number of associated diseases, falls in the year, hematocrit level, parathyroid hormone and use of calcitriol, it was found that only the monthly per capita income was significantly associated with frailty (OR = 0.44; 95% CI 0.1-0.9; p = 0.04). There was an association between frailty and income, showing that the elderly most at risk of frailty were those with lower income.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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 it