Effects of a 12-week Supervised Rehabilitation Exercise Program on Patients With Peripheral Artery Disease With or At Risk of Lower Limb Wound: A Retrospective Cohort Study
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to describe a cohort of patients participating in a 12-week supervised exercise program as part of a comprehensive cardiovascular rehabilitation program for patients with peripheral artery disease (PAD) with or at risk of wound on maximal walking distance, wound healing, and cardiovascular outcomes in the year following participation. METHODS: A retrospective cohort study was conducted, and all adult patients with PAD admitted to the rehabilitation program between January 1, 2021, and January 1, 2023 were included. RESULTS: Forty-two patients with PAD were enrolled, of whom 85.7% had intermittent claudication and 38.1% had severe PAD (toe pressure measurement <30 mm Hg). Mean maximal walking distance at the 6-minute walking test was 301.8 m (median: 300.0, SD: 106.3) at baseline and increased to 408.3 m (median: 440, SD: 123.8) at the end of the program. All patients with a wound at baseline (n = 8) were healed, except for 1 patient who died before healing. One year following the program, only 1 patient developed a new wound, 4 benefited from a percutaneous angioplasty, none required a surgical revascularization, and 1 had a major lower limb amputation. CONCLUSIONS: A 12-week supervised exercise program appears beneficial to improve walking distance for patients with moderate to severe PAD. It also appears safe for patients with or at risk of a lower limb wound, providing tailored exercises prespecified for each patient and adequate supervision. However, prospective studies are required before making clinical recommendations of such a program for the at-risk foot with PAD.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".