COGNITIVE IMPAIRMENT IN CHRONIC RENAL FAILURE PATIENTS UNDERGOING HEMODIALYSIS
Bibliographic record
Abstract
Background: Hemodialysis is a therapy to control uremia, fluid overload, and electrolyte imbalance in patients with chronic renal failure. However, the long time undergoing hemodialysis can risk causing cognitive function instability. The purpose of this study was to determine the presence of cognitive impairment chronic renal failure patients undergoing hemodialialysis. Methods: Type of quantitative research using cross-sectional correlational analysis research design, conducted on 121 samples with purposive sampling technique. Data collection was done using the Montreal Cognitive Assessment questionnaire using the Pearson Product Moment test. Results: The results showed that the majority of respondents were 46–65 years old, male; their last level of education was college; and the majority did not work. The long time undergoing hemodialysis is 120 months, with an average of 46 months. Most respondents experienced mild cognitive function impairment with memory domain, followed by visuospatial and attentional cognitive domains that cause the risk of dementia. Conclusion: There is a significant relationship between the long time undergoing hemodialysis and the cognitive function of chronic renal failure patients at RSUP Dr Kariadi Semarang (p = 0.000), with a strong relationship in the opposite direction (r = -0.610). The need to improve cognitive memory domain, such as conducting periodic cognitive screening with high-sensitivity instruments on hemodialysis patients who have a risk of severe dementia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".