Benefits of Resistance Training with Blood Flow Restriction in Knee Osteoarthritis
Bibliographic record
Abstract
PURPOSE: Evaluate the effects of a low-intensity resistance training (LI-RT) program associated with partial blood flow restriction on selected clinical outcomes in patients with knee osteoarthritis (OA). METHODS: Forty-eight women with knee OA were randomized into one of the three groups: LI-RT (30% one repetition maximum [1-RM]) associated (blood flow restriction training [BFRT]) or not (LI-RT) with partial blood flow restriction, and high-intensity resistance training (HI-RT, 80% 1-RM). Patients underwent a 12-wk supervised training program and were assessed for lower-limb 1-RM, quadriceps cross-sectional area, functionality (timed-stands test and timed-up-and-go test), and disease-specific inventory (Western Ontario and McMaster Universities Osteoarthritis Index [WOMAC]) before (PRE) and after (POST) the protocol. RESULTS: Similar within-group increases were observed in leg press (26% and 33%, all P < 0.0001), knee extension 1-RM (23% and 22%; all P < 0.0001) and cross-sectional area (7% and 8%; all P < 0.0001) in BFRT and HI-RT, respectively, and these were significantly greater (all P < 0.05) than those of LI-RT. The BFRT and HI-RT showed comparable improvements in timed-stands test (7% and 14%, respectively), with the latter showing greater increases than LI-RT. Timed-up-and-go test scores were not significantly changed within or between groups. WOMAC physical function was improved in BFRT and HI-RT (-49% and -42%, respectively; all P < 0.05), and WOMAC pain was improved in BFRT and LI-RT (-45% and -39%, respectively; all P < 0.05). Four patients (of 16) were excluded due to exercise-induced knee pain in HI-RT. CONCLUSIONS: Blood flow restriction training and HI-RT were similarly effective in increasing muscle strength, quadriceps muscle mass, and functionality in knee OA patients. Importantly, BFRT was also able to improve pain while inducing less joint stress, emerging as a feasible and effective therapeutic adjuvant in OA management.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".