Physical activity and renal outcome in diabetic and non-diabetic patients with chronic kidney disease stage G3b to G5
Bibliographic record
Abstract
) is poorly studied. We examined this association in patients with advanced CKD in Japan. We used the Rapid Assessment of Physical Activity to assess baseline physical activity and classify patients as active or inactive. CKD progression was defined as 40% decline in eGFR, eGFR < 10, or requiring dialysis or transplantation. Among the 1,808 eligible patients, after adjusting for possible confounders, hazard ratios (HRs) for poor renal outcome in the active group were 0.68 (95% CI, 0.44-1.04), 1.09 (0.86-1.38), and 1.01 (0.82-1.25) in CKD stage G3b, G4, and G5, respectively, suggesting a renal benefit of exercise in CKD stage G3b. Adjusted HRs for death were 0.79 (0.40-1.57), 0.55 (0.38-0.80), and 0.75 (0.44-1.26) in stage G3b, G4, and G5, respectively. While the adjusted HRs of death were 0.84 (0.52-1.38) and 0.60 (0.43-0.83) in diabetic and non-diabetic patients, suggesting that exercise may reduce mortality in non-diabetic patients. Our study suggests that exercise is associated with better survival in non-diabetic patients with CKD stage G3b-5, and better renal outcome in diabetic and non-diabetic CKD stage G3b.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".