Proteflazid®: treatment of herpesvirus and mixed infections. Meta-analysis of clinical trials results.
Bibliographic record
Abstract
There is a meta-analysis of clinical trials results concerning the evaluation of efficiency of the drug Proteflazid® (drops) in the treatment of adult patients with herpesvirus and mixed infections. AIM: Objective of the study: to evaluate the clinical efficacy of the drug Proteflazid® in a treatment of herpesvirus (HSV-1, HSV-2) and mixed infections in adults by meta-analysis of clinical trials. MATERIALS AND METHODS: In meta-analysis, 16 scientific sources with results of controlled studies with participation of 1336 patients over 18 y.o. during 2003-2015 are included. RESULTS: Obtained data are indicative of efficiency of the drug Proteflazid® in the treatment of patients with herpesvirus and mixed infections. Proteflazid® induces improvement in the main clinical signs of diseases, promotes elimination of herpesviruses from organism and prevention of relapses. CONCLUSIONS: Proteflazid® in the therapy of various clinical forms of HHVs infection promotes the improvement in the main clinical signs of diseases, elimination of HSV-1 and HSV-2; prevention of relapses of diseases (ophthalmoherpes, genital herpes) after completion of the treatment. Therapy of mixed infections (HSV, bacteria, protozoa, fungi) using the drug Proteflazid® promotes improvement in the main clinical signs of diseases, improvement in vaginal mircoflora condition and improvement in local changes in the cervix in women with inflammatory diseases of genital organs as well as in prevention of relapses of genital inflammatory diseases and chronic pyelonephritis.
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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 | 0.018 | 0.031 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.013 | 0.046 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".