Вивчення ефективності та безпеки екстракту кореня імбиру у лікуванні хворих з болем у нижній частині спини
Bibliographic record
Abstract
The objective: to study efficacy and safety of treatment with herbal formulation of standardized extract of ginger root in patients with low back pain; to study impact of the formulation on the dynamics of inflammation process indices, hepatic and renal markers, purine, carbohydrate and lipid metabolism. Patients and methods. The study involved 35 patients (28 women and 7 men) aged between 30 and 80 years with primary LBP syndrome. The treatment was provided using herbal formulation of standardized extract of ginger root at dose of 300 mg twice daily during two months. We evaluated efficacy of the formulation using VAS, Oswestry, Roland-Morris, McGill questionnaires. We analyzed effect of the drug product on cytokines levels (IL-1β, IGF-1), NO, CRP, ESR, metabolism indices (lipid, carbohydrate, liver function markers, uric acid levels). Results. By the end of the study, in 2 months of the treatment, the VAS parameters had statistically significantly decreased from 55,71±2,98 mm to 23,17 mm±2,38, Oswestry parameters – from 16,66±1,09 to 8,69±1,06, McGill parameters – from 8,49±0,73 to 3,09±0,4, Roland-Morris parameters – from 5,37±0,54 to 2,22±0,33. We observed a statistically significant reduction in CRP, ESR, proinflammatory cytokines (IL-1β), free radical (NO), as well as cholesterol and glucose. The study did not demonstrate any dynamics in such laboratory parameters as bilirubin, ALT, AST, creatinine and uric acid. Conclusions. Based on the study results we concluded that the standardized ginger root extract was effective and safe in treatment of patients with LBP. In the course of the treatment, the patients demonstrated reduction in pain intensity by 58%, life quality improvement by 48%, psycho-emotional state improvement by 59%, and vital activity improvement by 58%. We observed the anti-inflammatory effect of ginger root extract exerted by the drug product through degrading indices of CRP, ESR, proinflammatory cytokine IL-1β, and NO.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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; both teacher heads agree on what is shown here.
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".