REHABILITATION MANAGEMENT IN DISTAL SENSIMOTOR POLYNEUROPATHY OF DIABETIC GENESIS
Bibliographic record
Abstract
Rehabilitation assistance to patients with diabetic polyneuropathy is a difficult multidisciplinary task, and its solution should be complex based on the application of pathogenetically justified medicinal and non-medicinal methods. Regardless of the presence of complications and their degree of severity, the main strategies for the rehabilitation of such patients include: glycemic control, diet therapy, medicinal pathogenetic therapy, physiotherapeutic methods of treatment, physical therapy (kinesiotherapy) and reflexology. The purpose of the study is to develop, scientifically justify and implement the algorithm of the physical therapy program for patients with distal sensorimotor polyneuropathy of diabetic origin. Research methods. The following research methods were used to achieve the goals and objectives of the specified research: at the level of structure / function according to the ICF: clinical examination, which included an assessment of complaints, anamnesis; neuropathy symptom scale (Neurological Symptom Scores, NSS); Neuropathy Disability Score (NDS); NTSS‑9 (Neuropathy Total Symptom Score‑9) scale of symptoms of diabetic distal neuropathy; visual analog pain scale; McGill Pain Questionnaire; manual muscle testing; at the level of activity and participation: questionnaire SF‑36 (Short Form – 36); the “Timed Up and Go test/TUG” test. All patients included in the study underwent clinical and special research methods that meet the standards of research in this pathology and are based on the ICF. The study was conducted on the basis of the Municipal non-profit enterprise “Clinical Hospital of Saint Panteleimon” of the Sumy City Council in the conditions of the department of physical and rehabilitation medicine. The study included 10 patients (7 women and 3 men) with type 2 diabetes mellitus of moderate severity in a state of compensation or subcompensation, complicated by distal sensorimotor diabetic polyneuropathy. Research results. Based on the analysis of theoretical data and materials of own research, an algorithm of the physical therapy program for patients with distal sensorimotor polyneuropathy of diabetic genesis was developed, depending on the severity of the pain syndrome and the severity of the clinical manifestations of diabetic polyneuropathy according to the scale of neurological symptoms of the NSS. The findings identified risk factors for the development of pain syndrome and revealed that the degree of impaired balance and movement in patients with diabetes inversely depends on the severity of neurological symptoms and the intensity of pain syndrome.
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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) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".