Intradialytic Cognitive and Aerobic Exercise Training to Preserve Cognitive Function: IMPCT, a Multi-Dialysis Center 2 × 2 Factorial Block-Randomized Controlled Trial
Bibliographic record
Abstract
Introduction: Patients with end-stage kidney disease develop cognitive impairment due to comorbidities and dialysis dependence. Among community-dwelling older adults, cognitive (CT) and exercise training (ET) are promising interventions to preserve cognition; these interventions may be tailored for adults undergoing in-center hemodialysis. METHODS: Adult (≥18 years) English-speaking patients undergoing hemodialysis (within 3 months to 3 years of initiation) were enrolled in a 2 × 2 factorial randomized controlled trial: Interventions Made to Preserve Cognitive Function Trial (IMPCT). Participants (n = 121) were block-randomized (September, 2018-February, 2023) into 4 arms: control (SC) (n = 26), intradialytic web-based CT (n = 31), ET using foot peddler (n = 29), and combined CT+ET (n = 35). Participants underwent assessments at baseline and 3 months for executive function, global cognitive function, clinical outcomes, and patient-centered outcomes. We estimated 3-month executive function change (primary outcome) and secondary outcomes using linear regression. RESULTS: There were no differences in 3-month executive function change by arm. Participants exhibited improvement in 3-month global cognitive function in CT+ET arm (Montreal Cognitive Assessment score difference = 2.1, 95% CI: 0.4-3.9), and self-reported 3-month improvement in perceived health change (score difference = 0.8, 95% CI: 0.2-1.4) in ET arm. CONCLUSION: Clinicians may encourage CT+ET for hemodialysis patients to improve short-term global cognitive function and perceived health. The long-term benefits of these interventions warrant further study. .
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".