The physical deterioration of dialysis patients—Ignored, ill‐reported, and ill‐treated
Bibliographic record
Abstract
The progressive physical deterioration of dialysis patients is apparent to all who are involved in their care. Exercise can help stem this decline, yet exercise uptake in chronic and end-stage kidney disease is low. The involvement of exercise professionals has been shown to significantly increase patients' physical function and improve their quality of life. However, exercise professionals are scarce in renal programs, far less than dietetic and social work services. A review of 10 years of renal exercise publications in the physical therapy and rehabilitation literature found that only 0.4% (7 out of a total of 1763) of all published articles were focused on people with kidney disease. This compared with stroke (44%, n=883), arthritis/bone (29%, n=458), cancer (9%, n=168), respiratory (8%, n=106), cardiac (5%, n=82), and diabetes (3%, n=45). These results reflect the low emphasis placed on renal rehabilitation by the physical therapy professions and the low renal content in physical therapy tertiary education programs. This is likely to have an impact on the level of involvement of physical therapists in renal programs leading to lower physical function and poorer quality of life for renal patients.
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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 | 0.004 | 0.020 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.011 | 0.018 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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".