Effect of balance training with Biodex Balance System to improve balance in patients with diabetic neuropathy: A quasi experimental study
Bibliographic record
Abstract
Objective: To determine the effect of balance training with Biodex Balance System in improving balance function in patients with diabetic neuropathy. Methods: A quasi experimental study was conducted at physiotherapy department of Rehman Medical Institute Peshawar from January to June 2018. Thirty-eight Diabetes Mellitus Type-II patients with diagnosis of diabetic neuropathy participated in the study. Those patients were included who were able to stand independently and who scored moderate or severe neuropathy on Toronto Scale. Participants received 12 sessions (two sessions per week) of balance training on Biodex stability system in six weeks. Berg Balance Scale and Time Up and Go test were used to collect pre and post treatment data. Paired sample T-test was used to compare pre and post treatment data because data was normally distributed. Results: The mean age of the participants was 63.08 ± 3.3 years. Pretreatment Berg Balance Scale score was 42.68 ± 3.7 which improved to 48.89 ±3.7 after the treatment (P<0.001). Similarly, pretreatment Time Up and Go test score was 17.47 ± 2.0 while post treatment score was 13.57 ±1.5 (P<0.001). Conclusion: Balance training with Biodex Balance System can significantly improve balance function in Diabetes Mellitus Type-II patients with diabetic neuropathy. doi: https://doi.org/10.12669/pjms.37.2.2336 How to cite this:Daud SAH, Mujeeb-Ur-Rahman, Arsh A, Junaid M. Effect of balance training with Biodex Balance System to improve balance in patients with diabetic neuropathy: A quasi experimental study. Pak J Med Sci. 2021;37(2):389-392. doi: https://doi.org/10.12669/pjms.37.2.2336 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".