Результаты комплексного лечения пациентов с остеоартрозом коленных суставов и варикозной болезнью нижних конечностей
Bibliographic record
Abstract
Aim. To evaluate the results of complex treatment with application of methods of correction of chronic venous insufficiency in patients with osteoarthritis of the knee joints in combination with varicose disease of the lower extremities. Methods. Examination of a cardio-vascular surgeon, orthopedist or rheumatologist, triplex scanning the veins of the lower extremities, arthrosonography and X-ray imaging of the knee joints, assessment of the severity of chronic venous insufficiency according to a CEAP scale [Clinical signs, Etiologic classification, Anatomic distribution, Pathophysiologic Dysfunction (1984)], and the degree of gonarthrosis according to the special Leken’s index and WOMAC index (Western Ontario and McMaster Universities Arthritis Index). The investigations were performed before treatment and repeatedly during the year in the course of treatment. According to the indications both conservative therapy and surgical treatment were used. Results. As a result of the complex treatment of patients achieved was a reduction in the severity of symptoms of gonarthrosis, which manifested with a decrease in the total value of the Leken’s index and the WOMAC functional index. Positive results were obtained in the group of patients who underwent surgery, and in the group of patients who received conservative treatment. Conclusion. Inclusion in the treatment of the methods aimed at eliminating manifestations of chronic venous insufficiency leads to improved results of treatment of osteoarthritis of the knee joints.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".