Change in Physical Activity and Function in Patients with Baseline Advanced Nondialysis CKD
Bibliographic record
Abstract
Background and objectives Although progressive decline in physical activity and function are common in individuals with worsening CKD, little is known about the effect of dialysis initiation on physical activity. We assessed for any association of progression to dialysis in people with advanced CKD with temporal rates of change in physical activity and function. Design, setting, participants, & measurements Canadian Frailty Observation and Interventions Trial (CanFIT) participants with an eGFR of <30 ml/min per 1.73 m 2 were included. Outcomes included change in physical activity level, measured using the Physical Activity Scale for the Elderly, and physical function, measured using the chair stand, 4-m gait speed, and grip strength tests. Generalized linear regression models were conducted to determine whether dialysis initiation was associated with greater decline in physical activity or function. Results Of 386 individuals, 162 progressed to dialysis. Both assessments were completed by 98% of individuals for the Physical Activity Scale for the Elderly, 86% for the chair stand test, 84% for the gait speed test, and 91% for the grip strength test. Median (interquartile range) interassessment follow-up was 427 (357–578) days for the “stable advanced CKD” group and 606 (428–1000) days for the “progressed to dialysis” group. Self-reported physical activity and gait speed significantly declined in both groups. Mean (SD) chair stand time increased from 20.8 (17.1) to 24.0 (21.0) seconds among patients with stable advanced CKD, and from 18.5 (15.4) to 27.4 (22.2) seconds among those who progressed to dialysis (adjusted difference in change, 5.2 seconds; 95% confidence interval, 0.8 to 9.7 seconds; P =0.02). Conclusions Patients with advanced CKD experience progressive declines in physical activity and function. Transition to dialysis is associated with accelerated decline in physical function, as measured by the chair stand 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".