Prevalence of Cognitive Impairment and Relationships with Other Factors in Patients with End Stage Kidney Disease Receiving Hemodialysis
Bibliographic record
Abstract
Despite recommendations, cognitive screening in patients with end stage kidney disease (ESKD) rarely happens, leading to underestimates of cognitive impairment (CI) prevalence and missed opportunities for intervention. We aimed to describe CI prevalence and associated factors in 100 patients receiving in-center hemodialysis aged 50 years and older. Cognitive function was measured using the Montreal Cognitive Assessment (MoCA). Descriptive analysis techniques characterized the sample and estimated mean scores. Non-parametric and parametric tests explored relationships among MoCA scores and other patient factors. Of the 100 patients, 32% had normal cognitive function, 56% mild CI, and 12% moderate CI. Age, income, and education level significantly corelated with cognitive function in our sample. Identifying clinical factors and appropriate follow up for abnormal screening are crucial next steps in managing cognitive impairment in patients with ESKD receiving in-center hemodialysis.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".