An integrated approach to the treatment of pelvic pain associated with adenomyosis
Bibliographic record
Abstract
Dysmenorrhoea and intermenstrual pelvic pain are the most common symptoms of clinical manifestations of adenomyosis, which significantly impair the quality of women’s life. Adequate and long-term pain correction and alternative therapeutic approaches became extremely important for patients with adenomyosis during the COVID-19 pandemic. Research objective: to examine the clinical efficacy of nitric oxide donor (L-arginine) in the complex treatment of pelvic pain syndrome associated with adenomyosis.Materials and methods. The study included 63 women diagnosed with adenomyosis. Patients were divided into 2 groups by simple randomization: I (D) group (n = 31) received dydrogesterone 30 mg from 5 to 25 days of the menstrual cycle, II (D+T) group (n = 32) in addition to dydrogesterone received a nitric oxide donor L-arginine (Тivortin) according to the scheme. Pelvic pain was assessed before treatment with a Visual Analogue Scale and a McGill Pain Questionnaire, and an assessment of the overall pain impact on women's well-being was based on the SF-36 Health Status Survey. The effectiveness of pelvic pain therapy was assessed after the first and third months of treatment, as well as three months after the end of therapy with the above methods.Results. Researchers achieved a therapeutic effect in the treatment of chronic pelvic pain in both study groups, but in group II (D + T) after 3 months of treatment there was a significant reduction in pelvic pain, while patients of the standard therapy group have prolonged progestogen intake. There was a further improvement in the clinical condition in group I (D) after 6 months of follow-up, as well as no recurrence of pain in group II (D + T).Conclusions. The results of study demonstrate a significant effect of Tivortin as part of complex therapy on the rate of achievement and duration of therapeutic effect in the treatment of pelvic pain associated with adenomyosis.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".