Integrated method of treatment the chronic pelvic pain in inflammtory processes of the women pelvic organs
Bibliographic record
Abstract
The article presents the role of pro- and anti-inflammatory cytokines in the process of chronic pelvic pain (CPP) in women with pelvic inflammatory disease; therapeutic treatment for the prevention of relapse and psychological disorders. The objective: to determinate the role of the pro - and anti-inflammatory cytokines into the implementation of chronic pelvic pain syndrome (CPP) and to measure the performance of treatment which including pathophysiological factors of the woman’s pain with pelvic inflammatory disease Patients and methods: The study involved 75 women with PID. The main group consisted of 40 women with CPPS, Group 2 – 35 patients with painless passage of (the comparison group). The assessment of pain using a visual analogue scale (VAS); Pain Questionnaire McGill; conducted psychological testing, determined by the content of cytokines (IL-10, IL-6, TNF-a) in the blood serum. Results. Significantly elevated levels of TNF-a in the celebrated in the first group compared with the second (p<0.001), which is directly correlated with the duration of CPPS (r=0.422; p<0.001), the intensity of pelvic pain VAS (r=0.469; p<0.001), as well as moderate and severe symptoms of depression degree (r=0.333; p<0.05). Conclusions. The therapeutic treatment what we offered contributed to the regression of the pain after 1 month as determined by VAS 45.3±1.4 mm and 3 months 31.3±1.4 mm; reduction of reactive anxiety and depressive disorders detected in 84.7% of patients; improving psycho-emotional and general condition, normalization of sleep observed in 88.3% of women. Key words: inflammatory diseases of the pelvic organs, chronic pelvic pain, cytokines, personal anxiety.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".