Proteflazid® and local immunity in diseases caused by human papillomavirus, herpesvirus and mixed urogenital infections.
Bibliographic record
Abstract
Reporting of clinical trials results for Proteflazid® in the drug formulation suppositories and vaginal swabs soaked in the solution of the drug to the local immunity of the female reproductive tract. AIM: The aim of study was to examine the state of local immunity in the reproductive tract of women with sexually transmitted diseases caused by human papillomavirus, herpes viruses (Type 1, 2) and mixed infection (herpes viruses + chlamydia). MATERIALS AND METHODS: The trials involved 216 women with viral sexually transmitted diseases: Cervical Dysplasia associated with papillomavirus infection (HPV) (Group 1); Herpes genitalis type 1 (HSV- 1) and type 2 (HSV-1) (Group 2); mixed infection - HSV-1, HSV-2 and chlamydia (Group 3). RESULTS: Treatment results have confirmed that Proteflazid® contributes to sustainable performance improvement of basic factors of local immunity - sIgA, lysozyme and complement component C3 in the cervical mucus for all three groups of women. CONCLUSIONS: Proteflazid® enhances level of local immunity markers (sIgA, lysozyme, C3 complement component) and improves their ratios. Also it intensifies anticontagious activity of mucosal protection and female reproductive system as whole, during treatment diseases caused by human papillomavirus, herpesvirus and mixed urogenital infections (herpesvirus and chlamydia).
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".