453 EFFICACY OF LOW LEVEL LASER THERAPY ON PAINFUL SENSORIMOTOR SYMPTOMS IN DIABETIC PATIENTS WITH POLYNEUROPATHY
Bibliographic record
Abstract
Introduction: Distal sensorimotor polyneuropathy (DSP) is one of the most common complaints of diabetic patients. DSP is abnormal tingling that often occurs in feet at night. Common medications are often ineffective and are associated with complication. Laser therapy maybe be a suitable alternative. Methods and materials: A total of 60 patients in Diabetes Research Center of Kermanshah University of Medical Sciences were studied. At first VAS (Visual Analogue Scale) and TCSS (Toronto Clinical Scoring System) were measured by an intrnist and then patients were been divided in two groups, the first group treated with low level laser (2.5 J/cm2 and wave length of 758 nm) and the second group with sham therapy, during 4 weeks. VAS and TCSS were measured before and 2 & 4 weeks after treatment. Results: 14 cases were male (23.3%) and 46 (77.7%) were female. All of patients had type 2 dibetes mellitus. Two groups were matched according to age, height, weight, duration of diabetes and HBA1C. VAS and TCSS values before and 2 & 4 weeks after treatment in case group had significant differences. But in control group there was no significant differences between above values. (p < 0.0001 and p < 0.881 respectively). Also comparison of VAS and TCSS values after treatment between two groups had meaningful differences (p <0.0001). Conclusion: According to this study use of low level laser in treatment of diabetic sensorimotor polyneuropathy can be a suitable therapeutic option. However it seems complementary studies with larger sample size is needed for better judgment and decision making.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| 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".