Assessment of cognitive dysfunction in kidney disease.
Bibliographic record
Abstract
Cognitive dysfunction includes reduced mental alertness, intellectual impairment, decreased attention and concentration, memory deficits and diminished perceptual-motor coordination. Chronic kidney disease (CKD) patients may suffer from cognitive impairment, which may decrease an individual's quality of life, increase resource utilization and result in suboptimal medical care. This study was carried out on 120 patients with different stages of CKD from our nephrology outpatient clinic divided into three groups: Group I: 50 CKD patients, stage 3 and stage 4; Group II: 50 end-stage renal disease patients on regular hemodialysis with K t/v >1.1; and Group III: 20 acute kidney injury patients, followed-up till their renal functions stabilized besides Group IV: 20 healthy subjects served as controls. All patients underwent laboratory investigations and psychometric tests, which include trial making test part B, digit span test, digit symbol test and mini-mental state examination. There was a significant difference of mean values of cognitive function tests in Groups I, II and III on comparing them with Group IV. Stage 3 CKD scored better than stage 4 CKD, which was worse than hemodialysis patients, and lastly acute kidney injury patients had mild cognitive impairment, which was restored after recovery. We found an association between hemoglobin and cognitive function tests score in the studied groups. The degree of cognitive impairment was associated with the severity of CKD, and dialysis improved cognitive performance.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 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".