The effect of pain-free treadmill training on fibrinogen, haematocrit, and lipid profile in patients with claudication
Bibliographic record
Abstract
OBJECTIVE: To assess the effect of pain-free treadmill training on changes of plasma fibrinogen, haematocrit, lipid profile, and walking ability in patients with claudication. DESIGN: Randomized control trial. METHODS: Sixty-eight patients with peripheral obstructive arterial disease and intermittent claudication (Fontaine stage II) were randomly assigned into the treadmill training (repetitive intervals to onset of claudication pain, three times a week) or a control group (no change in physical activity) over 3 months. Both groups performed treadmill test to assess pain-free walking time (PFWT) and maximal walking time (MWT) and had blood analyses [for haematocrit, fibrinogen, triglycerides, and cholesterol: total, high-density lipoprotein (HDL) and low-density lipoprotein (LDL)] done at baseline and after 6 and 12 weeks of the study. RESULTS: Total and LDL cholesterol levels in the training group decreased (p < 0.05) by 14.8% and 20,5%, respectively. Significant (p < 0.05) HDL cholesterol increased (14.6%) and triglycerides decreased (19%) in the training group but changes of all these lipids were insignificant in the control group over the 3 months. Haematocrit and fibrinogen changes were insignificant in both groups. PFWT was prolonged by 109% and MWT increased by 54% in the training group (p < 0.01), but not in the control group. CONCLUSION: The improvement in walking time over 3 months of pain-free treadmill training parallels with progressive normalization of lipid profiles in patients with claudication.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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".