Mini mental status examination (MMSE) in stable chronic renal failure patients on hemodialysis: The effects of hemodialysis on the MMSE score. A prospective study
Bibliographic record
Abstract
Cognitive impairment is common in hemodialysis (HD) patients. The mini mental status examination is a simple screening test for dementia. The objectives of this study were to (1) study and compare the predialysis and postdialysis mini mental status examination score and 2 subscores and compare them with those of a control group and (2) determine the factors affecting these scores. This was a prospective study of 54 HD patients, which involved calculation of their predialysis (PrHDSc) and (2-4 weeks later) postdialysis (PoHDSc) scores and comparison of these with the control scores (CoSc). The mean scores for PreHDSc and PoHDSc were 26.5+/-2.7 and 26.4+/-3.3, respectively. Both were significantly lower than CoSc, 28.4+/-1.6 (95% CI for score difference 0.99-2.97, P<0.001). The subscores for orientation, registration, and recall (ORR) and attention (ATT) before and after HD were 14.2+/-1.3, 14.3+/-1.8, and 3.5+/-1.7, 3.2+/-1.8, respectively. Both were significantly lower than the CoSc, 15.2+/-1.2 and 4.2+/-1.1 (P=0.001 and 0.004, respectively). There were no significant differences between the PrHDSc and PoHDSc (P values of 0.87, 0.63, and 0.45, respectively). Patients' PrHDSc correlated positively with PoHDSc and dialysis efficiency measured by the urea reduction ratio and Kt/V (r=0.58, 0.4, and 0.34, respectively). Education level correlated positively with PrHDSc r=0.41 but not PoHDSc. Hemodialysis duration correlated negatively with PrHDSc r=-0.3. There was no correlation among age, chronic renal failure duration, HD frequency, weight loss, systolic or diastolic blood pressure drop, and PrHDSc or PoHDSc. Hemodialysis patients scored significantly less than the control patients. Their score was not affected by HD. This may reflect the stable cognitive function/dysfunction or the mild sensitivity of the test.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".