Effect of structured physical therapy program on patients with diabetes and mild cognitive impairment: randomised controlled trial
Bibliographic record
Abstract
Introduction The mild cognitive impairment (MCI) refers to a condition that falls in between dementia and the normal cognitive ageing process. Aim of the study: to explore how a physical therapy rehabilitation program affected patients with type 2 diabetes mellitus (T2DM) and MCI. Methods The study included 37 elderly patients with T2DM and MCI from Al-Azhar University Hospital aged from 60 to 75 years old. After a physician’s referral, they were randomly allocated into two groups. Group A: 27 patients, underwent a three-session per week, 60-minute physical therapy rehabilitation program in addition to medical treatment. The twelve-week program also included resistive exercise, stretching exercises, and aerobic treadmill walking. The 10 patients in Group B only received medical treatment for a total of twelve weeks. Researchers assessed Glycosylated haemoglobin (HbA1c), the p300 neurophysiological test, Mini-Mental State Examination (MMSE) scale, and Montreal Cognitive Assessment (MOCA). Results There were significantly decreased HbA1c and P300 post-treatment compared to pre-treatment within the study group (p = 0.0001 and p = 0.0001, respectively) and control group (p = 0.005 and p = 0.0001, respectively). The MOCA significantly increased post-treatment compared to pre-treatment within the study group, but there was no significant difference in the MOCA between pre- and post-treatment in the control group. The study group had decreased HbA1c, and increased MMS, MOCA, and P300 (13.72, 19.34, 18.7, and 7.2%, respectively) compared to the control group (11.06, 11.06, 9.3, 5.98%, respectively). Conclusions Physical therapy rehabilitation programs are important in helping patients with T2DM for improving their memory and cognitive function as well as decreasing the MCI progression.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".