FP686A STUDY OF THE EFFECT OF HAEMODIALYSIS ON COGNITIVE FUNCTIONS WITH ONE- WEEK FOLLOW UP: A CALL FOR CARE AND CONCERNS
Bibliographic record
Abstract
Introduction and Aims: Cognitive functions have been shown to decline in patients on long term haemodialysis (HD), with 70% of HD patients aged 55 years and older having moderate to severe chronic cognitive impairment. No evidence is currently available to identify if cognition returns back to baseline beyond 24 hours of a HD session or if physiological factors are associated with cognition during a session.The main aim of this study was to monitor cognitive function over three time periods in order to examine whether cognitive function remains stable between HD sessions. The secondary aim was to measure associations of cognitive performance with physiological parameters during HD. Methods: A prospective observational study was completed in three satellite HD units, involving 100 patients aged over 50 without a known diagnosis of dementia. Cognitive assessments using the Montreal Cognitive Assessment (MOCA), Geriatric Depression Scale (GDS) and Confusion Assessment Method (CAM) were performed up to one hour into a HD session (T1) and in the last hour before the end of the same HD session (T2). They were then repeated, one hour into a HD session, on average seven days later (T3). During each assessment period, the blood pressure, heart rate and oxygen saturation of each participant were obtained. Total MOCA scores were converted to percentages to standardize comparisons and a value of P <0.05 was considered significant.
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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 | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".